tennis.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "9a8afab2-a30c-4257-808d-3509964446ff",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Mono path[0] = '/Users/soeren/Library/Mobile Documents/com~apple~CloudDocs/development/udacity/project3-tennis-final/Tennis.app/Contents/Resources/Data/Managed'\n",
      "Mono config path = '/Users/soeren/Library/Mobile Documents/com~apple~CloudDocs/development/udacity/project3-tennis-final/Tennis.app/Contents/MonoBleedingEdge/etc'\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:unityagents:\n",
      "'Academy' started successfully!\n",
      "Unity Academy name: Academy\n",
      "        Number of Brains: 1\n",
      "        Number of External Brains : 1\n",
      "        Lesson number : 0\n",
      "        Reset Parameters :\n",
      "\t\t\n",
      "Unity brain name: TennisBrain\n",
      "        Number of Visual Observations (per agent): 0\n",
      "        Vector Observation space type: continuous\n",
      "        Vector Observation space size (per agent): 8\n",
      "        Number of stacked Vector Observation: 3\n",
      "        Vector Action space type: continuous\n",
      "        Vector Action space size (per agent): 2\n",
      "        Vector Action descriptions: , \n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of agents: 2\n",
      "Size of each action: 2\n",
      "There are 2 agents. Each observes a state with length: 24\n",
      "The state for the first agent looks like: [ 0.          0.          0.          0.          0.          0.\n",
      "  0.          0.          0.          0.          0.          0.\n",
      "  0.          0.          0.          0.         -6.65278625 -1.5\n",
      " -0.          0.          6.83172083  6.         -0.          0.        ]\n"
     ]
    }
   ],
   "source": [
    "from tennis import *"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f111ed07",
   "metadata": {},
   "source": [
    "# Train the Multi-Agent\n",
    "## Normal Noise "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "bf53785f-c0f8-44ae-88e2-9fbc938d671e",
   "metadata": {
    "scrolled": false,
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "################################################################################\n",
      "\n",
      "Hyperparameters (multiagent):\n",
      "\n",
      "         n_agents: 2\n",
      "      random_seed: 0\n",
      "      learn_every: 1\n",
      "          n_learn: 8\n",
      "     alpha_critic: 0.0001\n",
      "       batch_size: 64\n",
      "      buffer_size: 1000000\n",
      "      action_size: 2\n",
      "       noise_type: normal\n",
      "       state_size: 24\n",
      "\n",
      "Critic(\n",
      "  (seq1): Sequential(\n",
      "    (0): Linear(in_features=24, out_features=300, bias=True)\n",
      "    (1): BatchNorm1d(300, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
      "    (2): ReLU()\n",
      "  )\n",
      "  (seq2): Sequential(\n",
      "    (0): Linear(in_features=302, out_features=400, bias=True)\n",
      "    (1): ReLU()\n",
      "    (2): Linear(in_features=400, out_features=1, bias=True)\n",
      "  )\n",
      ")\n",
      "\n",
      "Single Agent: Hyperparameters: \n",
      "\n",
      "       state_size: 24\n",
      "      action_size: 2\n",
      "       noise_type: normal\n",
      "      alpha_actor: 0.0001\n",
      "            gamma: 0.99\n",
      "              tau: 0.001\n",
      " desired_distance: 0.3\n",
      "           scalar: 0.5\n",
      "     scalar_decay: 0.99\n",
      "    normal_scalar: 0.4\n",
      "\n",
      "Actor(\n",
      "  (seq): Sequential(\n",
      "    (0): Linear(in_features=24, out_features=300, bias=True)\n",
      "    (1): BatchNorm1d(300, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
      "    (2): ReLU()\n",
      "    (3): Linear(in_features=300, out_features=400, bias=True)\n",
      "    (4): ReLU()\n",
      "    (5): Linear(in_features=400, out_features=2, bias=True)\n",
      "    (6): Tanh()\n",
      "  )\n",
      ") \n",
      "\n",
      "################################################################################\n",
      "\n",
      "\n",
      "Ep    1\tMaxAvg100: 0.00\tMax: 0.00 [ 0.00, -0.01]\t -- t: 000016 sigma: 0.5999 \n",
      "Ep    2\tMaxAvg100: 0.00\tMax: 0.00 [ 0.00, -0.01]\t -- t: 000030 sigma: 0.5998 \n",
      "Ep    3\tMaxAvg100: 0.00\tMax: 0.00 [ 0.00, -0.01]\t -- t: 000044 sigma: 0.5997 \n",
      "Ep    4\tMaxAvg100: 0.00\tMax: 0.00 [ 0.00, -0.01]\t -- t: 000058 sigma: 0.5997 \n",
      "Ep    5\tMaxAvg100: 0.00\tMax: 0.00 [ 0.00, -0.01]\t -- t: 000073 sigma: 0.5996 \n",
      "Ep    6\tMaxAvg100: 0.00\tMax: 0.00 [-0.01,  0.00]\t -- t: 000087 sigma: 0.5995 \n",
      "Ep    7\tMaxAvg100: 0.00\tMax: 0.00 [ 0.00, -0.01]\t -- t: 000101 sigma: 0.5994 \n",
      "Ep    8\tMaxAvg100: 0.00\tMax: 0.00 [-0.01,  0.00]\t -- t: 000115 sigma: 0.5993 \n",
      "Ep    9\tMaxAvg100: 0.00\tMax: 0.00 [ 0.00, -0.01]\t -- t: 000129 sigma: 0.5992 \n",
      "Ep   10\tMaxAvg100: 0.00\tMax: 0.00 [ 0.00, -0.01]\t -- t: 000144 sigma: 0.5991 \n",
      "Ep   11\tMaxAvg100: 0.00\tMax: 0.00 [ 0.00, -0.01]\t -- t: 000157 sigma: 0.5991 \n",
      "Ep   12\tMaxAvg100: 0.00\tMax: 0.00 [ 0.00, -0.01]\t -- t: 000171 sigma: 0.5990 \n",
      "Ep   13\tMaxAvg100: 0.00\tMax: 0.00 [ 0.00, -0.01]\t -- t: 000185 sigma: 0.5989 \n",
      "Ep   14\tMaxAvg100: 0.00\tMax: 0.00 [ 0.00, -0.01]\t -- t: 000199 sigma: 0.5988 \n",
      "Ep   15\tMaxAvg100: 0.00\tMax: 0.00 [ 0.00, -0.01]\t -- t: 000213 sigma: 0.5987 \n",
      "Ep   16\tMaxAvg100: 0.00\tMax: 0.00 [ 0.00, -0.01]\t -- t: 000227 sigma: 0.5986 \n",
      "Ep   17\tMaxAvg100: 0.00\tMax: 0.00 [-0.01,  0.00]\t -- t: 000241 sigma: 0.5986 \n",
      "Ep   18\tMaxAvg100: 0.00\tMax: 0.00 [-0.01,  0.00]\t -- t: 000254 sigma: 0.5985 \n",
      "Ep   19\tMaxAvg100: 0.00\tMax: 0.00 [-0.01,  0.00]\t -- t: 000268 sigma: 0.5984 \n",
      "Ep   20\tMaxAvg100: 0.00\tMax: 0.00 [-0.01,  0.00]\t -- t: 000282 sigma: 0.5983 \n",
      "Ep   21\tMaxAvg100: 0.00\tMax: 0.09 [ 0.00,  0.09]\t -- t: 000313 sigma: 0.5981 \n",
      "Ep   22\tMaxAvg100: 0.00\tMax: 0.00 [ 0.00, -0.01]\t -- t: 000327 sigma: 0.5980 [S]\n",
      "Ep   23\tMaxAvg100: 0.00\tMax: 0.00 [ 0.00, -0.01]\t -- t: 000342 sigma: 0.5980 \n",
      "Ep   24\tMaxAvg100: 0.00\tMax: 0.00 [ 0.00, -0.01]\t -- t: 000356 sigma: 0.5979 \n",
      "Ep   25\tMaxAvg100: 0.00\tMax: 0.00 [-0.01,  0.00]\t -- t: 000370 sigma: 0.5978 \n",
      "Ep   26\tMaxAvg100: 0.00\tMax: 0.00 [ 0.00, -0.01]\t -- t: 000384 sigma: 0.5977 \n",
      "Ep   27\tMaxAvg100: 0.00\tMax: 0.00 [ 0.00, -0.01]\t -- t: 000398 sigma: 0.5976 \n",
      "Ep   28\tMaxAvg100: 0.00\tMax: 0.00 [ 0.00, -0.01]\t -- t: 000413 sigma: 0.5975 \n",
      "Ep   29\tMaxAvg100: 0.00\tMax: 0.00 [ 0.00, -0.01]\t -- t: 000427 sigma: 0.5974 \n",
      "Ep   30\tMaxAvg100: 0.00\tMax: 0.00 [ 0.00, -0.01]\t -- t: 000441 sigma: 0.5974 \n",
      "Ep   31\tMaxAvg100: 0.00\tMax: 0.00 [-0.01,  0.00]\t -- t: 000460 sigma: 0.5972 \n",
      "Ep   32\tMaxAvg100: 0.00\tMax: 0.00 [ 0.00, -0.01]\t -- t: 000474 sigma: 0.5972 \n",
      "Ep   33\tMaxAvg100: 0.00\tMax: 0.09 [ 0.00,  0.09]\t -- t: 000507 sigma: 0.5970 \n",
      "Ep   34\tMaxAvg100: 0.00\tMax: 0.00 [-0.01,  0.00]\t -- t: 000521 sigma: 0.5969 [S]\n",
      "Ep   35\tMaxAvg100: 0.00\tMax: 0.00 [-0.01,  0.00]\t -- t: 000535 sigma: 0.5968 \n",
      "Ep   36\tMaxAvg100: 0.00\tMax: 0.00 [ 0.00, -0.01]\t -- t: 000549 sigma: 0.5967 \n",
      "Ep   37\tMaxAvg100: 0.00\tMax: 0.00 [ 0.00, -0.01]\t -- t: 000564 sigma: 0.5966 \n",
      "Ep   38\tMaxAvg100: 0.00\tMax: 0.00 [-0.01,  0.00]\t -- t: 000578 sigma: 0.5965 \n",
      "Ep   39\tMaxAvg100: 0.00\tMax: 0.00 [ 0.00, -0.01]\t -- t: 000592 sigma: 0.5965 \n",
      "Ep   40\tMaxAvg100: 0.00\tMax: 0.00 [ 0.00, -0.01]\t -- t: 000606 sigma: 0.5964 \n",
      "Ep   41\tMaxAvg100: 0.00\tMax: 0.00 [-0.01,  0.00]\t -- t: 000620 sigma: 0.5963 \n",
      "Ep   42\tMaxAvg100: 0.00\tMax: 0.00 [-0.01,  0.00]\t -- t: 000635 sigma: 0.5962 \n",
      "Ep   43\tMaxAvg100: 0.00\tMax: 0.00 [ 0.00, -0.01]\t -- t: 000649 sigma: 0.5961 \n",
      "Ep   44\tMaxAvg100: 0.00\tMax: 0.00 [ 0.00, -0.01]\t -- t: 000663 sigma: 0.5960 \n",
      "Ep   45\tMaxAvg100: 0.00\tMax: 0.00 [ 0.00, -0.01]\t -- t: 000677 sigma: 0.5960 \n",
      "Ep   46\tMaxAvg100: 0.00\tMax: 0.00 [-0.01,  0.00]\t -- t: 000691 sigma: 0.5959 \n",
      "Ep   47\tMaxAvg100: 0.00\tMax: 0.00 [-0.01,  0.00]\t -- t: 000706 sigma: 0.5958 \n",
      "Ep   48\tMaxAvg100: 0.00\tMax: 0.00 [ 0.00, -0.01]\t -- t: 000720 sigma: 0.5957 \n",
      "Ep   49\tMaxAvg100: 0.00\tMax: 0.00 [ 0.00, -0.01]\t -- t: 000734 sigma: 0.5956 \n",
      "Ep   50\tMaxAvg100: 0.00\tMax: 0.00 [-0.01,  0.00]\t -- t: 000748 sigma: 0.5955 \n",
      "Ep   51\tMaxAvg100: 0.00\tMax: 0.00 [ 0.00, -0.01]\t -- t: 000762 sigma: 0.5954 \n",
      "Ep   52\tMaxAvg100: 0.00\tMax: 0.00 [ 0.00, -0.01]\t -- t: 000777 sigma: 0.5954 \n",
      "Ep   53\tMaxAvg100: 0.00\tMax: 0.00 [ 0.00, -0.01]\t -- t: 000791 sigma: 0.5953 \n",
      "Ep   54\tMaxAvg100: 0.00\tMax: 0.00 [ 0.00, -0.01]\t -- t: 000805 sigma: 0.5952 \n",
      "Ep   55\tMaxAvg100: 0.00\tMax: 0.00 [ 0.00, -0.01]\t -- t: 000819 sigma: 0.5951 \n",
      "Ep   56\tMaxAvg100: 0.00\tMax: 0.00 [ 0.00, -0.01]\t -- t: 000833 sigma: 0.5950 \n",
      "Ep   57\tMaxAvg100: 0.00\tMax: 0.00 [-0.01,  0.00]\t -- t: 000848 sigma: 0.5949 \n",
      "Ep   58\tMaxAvg100: 0.00\tMax: 0.00 [ 0.00, -0.01]\t -- t: 000862 sigma: 0.5949 \n",
      "Ep   59\tMaxAvg100: 0.00\tMax: 0.00 [ 0.00, -0.01]\t -- t: 000876 sigma: 0.5948 \n",
      "Ep   60\tMaxAvg100: 0.00\tMax: 0.00 [ 0.00, -0.01]\t -- t: 000892 sigma: 0.5947 \n",
      "Ep   61\tMaxAvg100: 0.00\tMax: 0.10 [ 0.10, -0.01]\t -- t: 000923 sigma: 0.5945 \n",
      "Ep   62\tMaxAvg100: 0.00\tMax: 0.00 [ 0.00, -0.01]\t -- t: 000937 sigma: 0.5944 [S]\n",
      "Ep   63\tMaxAvg100: 0.00\tMax: 0.00 [ 0.00, -0.01]\t -- t: 000952 sigma: 0.5943 \n",
      "Ep   64\tMaxAvg100: 0.00\tMax: 0.00 [-0.01,  0.00]\t -- t: 000966 sigma: 0.5942 \n",
      "Ep   65\tMaxAvg100: 0.00\tMax: 0.00 [-0.01,  0.00]\t -- t: 000980 sigma: 0.5941 \n",
      "Ep   66\tMaxAvg100: 0.00\tMax: 0.00 [ 0.00, -0.01]\t -- t: 000994 sigma: 0.5941 \n",
      "Ep   67\tMaxAvg100: 0.00\tMax: 0.00 [ 0.00, -0.01]\t -- t: 001009 sigma: 0.5940 \n",
      "Ep   68\tMaxAvg100: 0.00\tMax: 0.00 [ 0.00, -0.01]\t -- t: 001022 sigma: 0.5939 \n",
      "Ep   69\tMaxAvg100: 0.00\tMax: 0.00 [-0.01,  0.00]\t -- t: 001037 sigma: 0.5938 \n",
      "Ep   70\tMaxAvg100: 0.00\tMax: 0.00 [-0.01,  0.00]\t -- t: 001051 sigma: 0.5937 \n",
      "Ep   71\tMaxAvg100: 0.00\tMax: 0.00 [-0.01,  0.00]\t -- t: 001065 sigma: 0.5936 \n",
      "Ep   72\tMaxAvg100: 0.00\tMax: 0.00 [-0.01,  0.00]\t -- t: 001079 sigma: 0.5936 \n",
      "Ep   73\tMaxAvg100: 0.00\tMax: 0.00 [-0.01,  0.00]\t -- t: 001093 sigma: 0.5935 \n",
      "Ep   74\tMaxAvg100: 0.00\tMax: 0.00 [ 0.00, -0.01]\t -- t: 001108 sigma: 0.5934 \n",
      "Ep   75\tMaxAvg100: 0.00\tMax: 0.00 [-0.01,  0.00]\t -- t: 001122 sigma: 0.5933 \n",
      "Ep   76\tMaxAvg100: 0.00\tMax: 0.00 [ 0.00, -0.01]\t -- t: 001136 sigma: 0.5932 \n",
      "Ep   77\tMaxAvg100: 0.00\tMax: 0.00 [-0.01,  0.00]\t -- t: 001150 sigma: 0.5931 \n",
      "Ep   78\tMaxAvg100: 0.00\tMax: 0.00 [ 0.00, -0.01]\t -- t: 001164 sigma: 0.5931 \n",
      "Ep   79\tMaxAvg100: 0.00\tMax: 0.00 [-0.01,  0.00]\t -- t: 001179 sigma: 0.5930 \n",
      "Ep   80\tMaxAvg100: 0.00\tMax: 0.00 [-0.01,  0.00]\t -- t: 001193 sigma: 0.5929 \n",
      "Ep   81\tMaxAvg100: 0.00\tMax: 0.00 [ 0.00, -0.01]\t -- t: 001207 sigma: 0.5928 \n",
      "Ep   82\tMaxAvg100: 0.00\tMax: 0.00 [-0.01,  0.00]\t -- t: 001221 sigma: 0.5927 \n",
      "Ep   83\tMaxAvg100: 0.00\tMax: 0.00 [ 0.00, -0.01]\t -- t: 001235 sigma: 0.5926 \n",
      "Ep   84\tMaxAvg100: 0.00\tMax: 0.00 [ 0.00, -0.01]\t -- t: 001250 sigma: 0.5925 \n",
      "Ep   85\tMaxAvg100: 0.00\tMax: 0.00 [-0.01,  0.00]\t -- t: 001264 sigma: 0.5925 \n",
      "Ep   86\tMaxAvg100: 0.00\tMax: 0.00 [ 0.00, -0.01]\t -- t: 001278 sigma: 0.5924 \n",
      "Ep   87\tMaxAvg100: 0.00\tMax: 0.00 [ 0.00, -0.01]\t -- t: 001292 sigma: 0.5923 \n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Ep   88\tMaxAvg100: 0.00\tMax: 0.00 [ 0.00, -0.01]\t -- t: 001306 sigma: 0.5922 \n",
      "Ep   89\tMaxAvg100: 0.00\tMax: 0.00 [ 0.00, -0.01]\t -- t: 001321 sigma: 0.5921 \n",
      "Ep   90\tMaxAvg100: 0.00\tMax: 0.00 [ 0.00, -0.01]\t -- t: 001335 sigma: 0.5920 \n",
      "Ep   91\tMaxAvg100: 0.00\tMax: 0.00 [ 0.00, -0.01]\t -- t: 001349 sigma: 0.5920 \n",
      "Ep   92\tMaxAvg100: 0.00\tMax: 0.00 [-0.01,  0.00]\t -- t: 001363 sigma: 0.5919 \n",
      "Ep   93\tMaxAvg100: 0.00\tMax: 0.00 [-0.01,  0.00]\t -- t: 001377 sigma: 0.5918 \n",
      "Ep   94\tMaxAvg100: 0.00\tMax: 0.00 [ 0.00, -0.01]\t -- t: 001392 sigma: 0.5917 \n",
      "Ep   95\tMaxAvg100: 0.00\tMax: 0.00 [-0.01,  0.00]\t -- t: 001406 sigma: 0.5916 \n",
      "Ep   96\tMaxAvg100: 0.00\tMax: 0.00 [ 0.00, -0.01]\t -- t: 001420 sigma: 0.5915 \n",
      "Ep   97\tMaxAvg100: 0.00\tMax: 0.00 [-0.01,  0.00]\t -- t: 001434 sigma: 0.5915 \n",
      "Ep   98\tMaxAvg100: 0.00\tMax: 0.00 [ 0.00, -0.01]\t -- t: 001448 sigma: 0.5914 \n",
      "Ep   99\tMaxAvg100: 0.00\tMax: 0.00 [ 0.00, -0.01]\t -- t: 001463 sigma: 0.5913 \n",
      "Ep  100\tMaxAvg100: 0.00\tMax: 0.00 [ 0.00, -0.01]\t -- t: 001477 sigma: 0.5912 \n",
      "Ep  101\tMaxAvg100: 0.00\tMax: 0.00 [ 0.00, -0.01]\t -- t: 001491 sigma: 0.5911 \n",
      "Ep  102\tMaxAvg100: 0.00\tMax: 0.00 [ 0.00, -0.01]\t -- t: 001505 sigma: 0.5910 \n",
      "Ep  103\tMaxAvg100: 0.00\tMax: 0.00 [ 0.00, -0.01]\t -- t: 001519 sigma: 0.5910 \n",
      "Ep  104\tMaxAvg100: 0.00\tMax: 0.00 [ 0.00, -0.01]\t -- t: 001534 sigma: 0.5909 \n",
      "Ep  105\tMaxAvg100: 0.00\tMax: 0.00 [-0.01,  0.00]\t -- t: 001548 sigma: 0.5908 \n",
      "Ep  106\tMaxAvg100: 0.00\tMax: 0.00 [-0.01,  0.00]\t -- t: 001562 sigma: 0.5907 \n",
      "Ep  107\tMaxAvg100: 0.00\tMax: 0.00 [ 0.00, -0.01]\t -- t: 001576 sigma: 0.5906 \n",
      "Ep  108\tMaxAvg100: 0.00\tMax: 0.00 [ 0.00, -0.01]\t -- t: 001590 sigma: 0.5905 \n",
      "Ep  109\tMaxAvg100: 0.00\tMax: 0.00 [ 0.00, -0.01]\t -- t: 001605 sigma: 0.5904 \n",
      "Ep  110\tMaxAvg100: 0.00\tMax: 0.00 [-0.01,  0.00]\t -- t: 001619 sigma: 0.5904 \n",
      "Ep  111\tMaxAvg100: 0.00\tMax: 0.00 [ 0.00, -0.01]\t -- t: 001633 sigma: 0.5903 \n",
      "Ep  112\tMaxAvg100: 0.00\tMax: 0.00 [-0.01,  0.00]\t -- t: 001647 sigma: 0.5902 \n",
      "Ep  113\tMaxAvg100: 0.00\tMax: 0.00 [ 0.00, -0.01]\t -- t: 001661 sigma: 0.5901 \n",
      "Ep  114\tMaxAvg100: 0.00\tMax: 0.00 [-0.01,  0.00]\t -- t: 001676 sigma: 0.5900 \n",
      "Ep  115\tMaxAvg100: 0.00\tMax: 0.00 [ 0.00, -0.01]\t -- t: 001690 sigma: 0.5899 \n",
      "Ep  116\tMaxAvg100: 0.00\tMax: 0.00 [-0.01,  0.00]\t -- t: 001704 sigma: 0.5899 \n",
      "Ep  117\tMaxAvg100: 0.00\tMax: 0.00 [-0.01,  0.00]\t -- t: 001718 sigma: 0.5898 \n",
      "Ep  118\tMaxAvg100: 0.00\tMax: 0.00 [-0.01,  0.00]\t -- t: 001732 sigma: 0.5897 \n",
      "Ep  119\tMaxAvg100: 0.00\tMax: 0.00 [ 0.00, -0.01]\t -- t: 001747 sigma: 0.5896 \n",
      "Ep  120\tMaxAvg100: 0.00\tMax: 0.00 [ 0.00, -0.01]\t -- t: 001761 sigma: 0.5895 \n",
      "Ep  121\tMaxAvg100: 0.00\tMax: 0.00 [-0.01,  0.00]\t -- t: 001775 sigma: 0.5894 \n",
      "Ep  122\tMaxAvg100: 0.00\tMax: 0.00 [ 0.00, -0.01]\t -- t: 001789 sigma: 0.5894 \n",
      "Ep  123\tMaxAvg100: 0.00\tMax: 0.00 [-0.01,  0.00]\t -- t: 001803 sigma: 0.5893 \n",
      "Ep  124\tMaxAvg100: 0.00\tMax: 0.00 [ 0.00, -0.01]\t -- t: 001818 sigma: 0.5892 \n",
      "Ep  125\tMaxAvg100: 0.00\tMax: 0.00 [-0.01,  0.00]\t -- t: 001832 sigma: 0.5891 \n",
      "Ep  126\tMaxAvg100: 0.00\tMax: 0.00 [-0.01,  0.00]\t -- t: 001846 sigma: 0.5890 \n",
      "Ep  127\tMaxAvg100: 0.00\tMax: 0.00 [ 0.00, -0.01]\t -- t: 001860 sigma: 0.5889 \n",
      "Ep  128\tMaxAvg100: 0.00\tMax: 0.00 [-0.01,  0.00]\t -- t: 001874 sigma: 0.5889 \n",
      "Ep  129\tMaxAvg100: 0.00\tMax: 0.00 [-0.01,  0.00]\t -- t: 001889 sigma: 0.5888 \n",
      "Ep  130\tMaxAvg100: 0.00\tMax: 0.00 [ 0.00, -0.01]\t -- t: 001903 sigma: 0.5887 \n",
      "Ep  131\tMaxAvg100: 0.00\tMax: 0.00 [ 0.00, -0.01]\t -- t: 001917 sigma: 0.5886 \n",
      "Ep  132\tMaxAvg100: 0.00\tMax: 0.00 [-0.01,  0.00]\t -- t: 001931 sigma: 0.5885 \n",
      "Ep  133\tMaxAvg100: 0.00\tMax: 0.00 [ 0.00, -0.01]\t -- t: 001945 sigma: 0.5884 \n",
      "Ep  134\tMaxAvg100: 0.00\tMax: 0.00 [ 0.00, -0.01]\t -- t: 001960 sigma: 0.5884 \n",
      "Ep  135\tMaxAvg100: 0.00\tMax: 0.00 [ 0.00, -0.01]\t -- t: 001974 sigma: 0.5883 \n",
      "Ep  136\tMaxAvg100: 0.00\tMax: 0.00 [-0.01,  0.00]\t -- t: 001988 sigma: 0.5882 \n",
      "Ep  137\tMaxAvg100: 0.00\tMax: 0.00 [-0.01,  0.00]\t -- t: 002002 sigma: 0.5881 \n",
      "Ep  138\tMaxAvg100: 0.00\tMax: 0.00 [-0.01,  0.00]\t -- t: 002016 sigma: 0.5880 \n",
      "Ep  139\tMaxAvg100: 0.00\tMax: 0.00 [ 0.00, -0.01]\t -- t: 002031 sigma: 0.5879 \n",
      "Ep  140\tMaxAvg100: 0.00\tMax: 0.00 [-0.01,  0.00]\t -- t: 002045 sigma: 0.5879 \n",
      "Ep  141\tMaxAvg100: 0.00\tMax: 0.00 [-0.01,  0.00]\t -- t: 002059 sigma: 0.5878 \n",
      "Ep  142\tMaxAvg100: 0.00\tMax: 0.00 [ 0.00, -0.01]\t -- t: 002073 sigma: 0.5877 \n",
      "Ep  143\tMaxAvg100: 0.00\tMax: 0.00 [-0.01,  0.00]\t -- t: 002087 sigma: 0.5876 \n",
      "Ep  144\tMaxAvg100: 0.00\tMax: 0.00 [-0.01,  0.00]\t -- t: 002102 sigma: 0.5875 \n",
      "Ep  145\tMaxAvg100: 0.00\tMax: 0.00 [-0.01,  0.00]\t -- t: 002116 sigma: 0.5874 \n",
      "Ep  146\tMaxAvg100: 0.00\tMax: 0.00 [-0.01,  0.00]\t -- t: 002130 sigma: 0.5874 \n",
      "Ep  147\tMaxAvg100: 0.00\tMax: 0.00 [-0.01,  0.00]\t -- t: 002144 sigma: 0.5873 \n",
      "Ep  148\tMaxAvg100: 0.00\tMax: 0.00 [-0.01,  0.00]\t -- t: 002158 sigma: 0.5872 \n",
      "Ep  149\tMaxAvg100: 0.00\tMax: 0.00 [-0.01,  0.00]\t -- t: 002173 sigma: 0.5871 \n",
      "Ep  150\tMaxAvg100: 0.00\tMax: 0.00 [ 0.00, -0.01]\t -- t: 002187 sigma: 0.5870 \n",
      "Ep  151\tMaxAvg100: 0.00\tMax: 0.00 [ 0.00, -0.01]\t -- t: 002201 sigma: 0.5869 \n",
      "Ep  152\tMaxAvg100: 0.00\tMax: 0.00 [-0.01,  0.00]\t -- t: 002215 sigma: 0.5869 \n",
      "Ep  153\tMaxAvg100: 0.00\tMax: 0.00 [ 0.00, -0.01]\t -- t: 002229 sigma: 0.5868 \n",
      "Ep  154\tMaxAvg100: 0.00\tMax: 0.00 [-0.01,  0.00]\t -- t: 002244 sigma: 0.5867 \n",
      "Ep  155\tMaxAvg100: 0.00\tMax: 0.00 [-0.01,  0.00]\t -- t: 002258 sigma: 0.5866 \n",
      "Ep  156\tMaxAvg100: 0.00\tMax: 0.00 [-0.01,  0.00]\t -- t: 002272 sigma: 0.5865 \n",
      "Ep  157\tMaxAvg100: 0.00\tMax: 0.00 [-0.01,  0.00]\t -- t: 002286 sigma: 0.5864 \n",
      "Ep  158\tMaxAvg100: 0.00\tMax: 0.00 [ 0.00, -0.01]\t -- t: 002300 sigma: 0.5864 \n",
      "Ep  159\tMaxAvg100: 0.00\tMax: 0.00 [ 0.00, -0.01]\t -- t: 002315 sigma: 0.5863 \n",
      "Ep  160\tMaxAvg100: 0.00\tMax: 0.00 [ 0.00, -0.01]\t -- t: 002329 sigma: 0.5862 \n",
      "Ep  161\tMaxAvg100: 0.00\tMax: 0.00 [ 0.00, -0.01]\t -- t: 002343 sigma: 0.5861 \n",
      "Ep  162\tMaxAvg100: 0.00\tMax: 0.00 [ 0.00, -0.01]\t -- t: 002357 sigma: 0.5860 \n",
      "Ep  163\tMaxAvg100: 0.00\tMax: 0.00 [ 0.00, -0.01]\t -- t: 002371 sigma: 0.5859 \n",
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      "Ep  165\tMaxAvg100: 0.00\tMax: 0.00 [ 0.00, -0.01]\t -- t: 002400 sigma: 0.5858 \n",
      "Ep  166\tMaxAvg100: 0.00\tMax: 0.00 [-0.01,  0.00]\t -- t: 002414 sigma: 0.5857 \n",
      "Ep  167\tMaxAvg100: 0.00\tMax: 0.00 [ 0.00, -0.01]\t -- t: 002428 sigma: 0.5856 \n",
      "Ep  168\tMaxAvg100: 0.00\tMax: 0.00 [-0.01,  0.00]\t -- t: 002442 sigma: 0.5855 \n",
      "Ep  169\tMaxAvg100: 0.00\tMax: 0.00 [ 0.00, -0.01]\t -- t: 002457 sigma: 0.5854 \n",
      "Ep  170\tMaxAvg100: 0.00\tMax: 0.00 [-0.01,  0.00]\t -- t: 002471 sigma: 0.5854 \n",
      "Ep  171\tMaxAvg100: 0.00\tMax: 0.00 [ 0.00, -0.01]\t -- t: 002485 sigma: 0.5853 \n",
      "Ep  172\tMaxAvg100: 0.00\tMax: 0.00 [-0.01,  0.00]\t -- t: 002499 sigma: 0.5852 \n",
      "Ep  173\tMaxAvg100: 0.00\tMax: 0.00 [-0.01,  0.00]\t -- t: 002513 sigma: 0.5851 \n",
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      "Ep  175\tMaxAvg100: 0.00\tMax: 0.00 [ 0.00, -0.01]\t -- t: 002542 sigma: 0.5849 \n",
      "Ep  176\tMaxAvg100: 0.00\tMax: 0.00 [-0.01,  0.00]\t -- t: 002556 sigma: 0.5849 \n",
      "Ep  177\tMaxAvg100: 0.00\tMax: 0.00 [ 0.00, -0.01]\t -- t: 002570 sigma: 0.5848 \n",
      "Ep  178\tMaxAvg100: 0.00\tMax: 0.00 [ 0.00, -0.01]\t -- t: 002584 sigma: 0.5847 \n",
      "Ep  179\tMaxAvg100: 0.00\tMax: 0.00 [-0.01,  0.00]\t -- t: 002599 sigma: 0.5846 \n",
      "Ep  180\tMaxAvg100: 0.00\tMax: 0.00 [-0.01,  0.00]\t -- t: 002613 sigma: 0.5845 \n",
      "Ep  181\tMaxAvg100: 0.00\tMax: 0.00 [-0.01,  0.00]\t -- t: 002627 sigma: 0.5844 \n",
      "Ep  182\tMaxAvg100: 0.00\tMax: 0.00 [ 0.00, -0.01]\t -- t: 002641 sigma: 0.5844 \n",
      "Ep  183\tMaxAvg100: 0.00\tMax: 0.00 [ 0.00, -0.01]\t -- t: 002655 sigma: 0.5843 \n",
      "Ep  184\tMaxAvg100: 0.00\tMax: 0.00 [ 0.00, -0.01]\t -- t: 002670 sigma: 0.5842 \n",
      "Ep  185\tMaxAvg100: 0.00\tMax: 0.00 [-0.01,  0.00]\t -- t: 002684 sigma: 0.5841 \n",
      "Ep  186\tMaxAvg100: 0.00\tMax: 0.00 [-0.01,  0.00]\t -- t: 002698 sigma: 0.5840 \n",
      "Ep  187\tMaxAvg100: 0.00\tMax: 0.00 [-0.01,  0.00]\t -- t: 002712 sigma: 0.5839 \n",
      "Ep  188\tMaxAvg100: 0.00\tMax: 0.00 [ 0.00, -0.01]\t -- t: 002726 sigma: 0.5839 \n",
      "Ep  189\tMaxAvg100: 0.00\tMax: 0.00 [ 0.00, -0.01]\t -- t: 002741 sigma: 0.5838 \n",
      "Ep  190\tMaxAvg100: 0.00\tMax: 0.00 [ 0.00, -0.01]\t -- t: 002755 sigma: 0.5837 \n",
      "Ep  191\tMaxAvg100: 0.00\tMax: 0.00 [ 0.00, -0.01]\t -- t: 002769 sigma: 0.5836 \n",
      "Ep  192\tMaxAvg100: 0.00\tMax: 0.00 [-0.01,  0.00]\t -- t: 002783 sigma: 0.5835 \n",
      "Ep  193\tMaxAvg100: 0.00\tMax: 0.00 [-0.01,  0.00]\t -- t: 002797 sigma: 0.5835 \n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Ep  194\tMaxAvg100: 0.00\tMax: 0.00 [ 0.00, -0.01]\t -- t: 002812 sigma: 0.5834 \n",
      "Ep  195\tMaxAvg100: 0.00\tMax: 0.00 [ 0.00, -0.01]\t -- t: 002826 sigma: 0.5833 \n",
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      "Ep  198\tMaxAvg100: 0.00\tMax: 0.00 [ 0.00, -0.01]\t -- t: 002868 sigma: 0.5830 \n",
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      "Ep  200\tMaxAvg100: 0.00\tMax: 0.00 [-0.01,  0.00]\t -- t: 002897 sigma: 0.5829 \n",
      "Ep  201\tMaxAvg100: 0.00\tMax: 0.00 [-0.01,  0.00]\t -- t: 002911 sigma: 0.5828 \n",
      "Ep  202\tMaxAvg100: 0.00\tMax: 0.00 [ 0.00, -0.01]\t -- t: 002925 sigma: 0.5827 \n",
      "Ep  203\tMaxAvg100: 0.00\tMax: 0.00 [ 0.00, -0.01]\t -- t: 002939 sigma: 0.5826 \n",
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      "Ep  207\tMaxAvg100: 0.00\tMax: 0.00 [ 0.00, -0.01]\t -- t: 002996 sigma: 0.5823 \n",
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      "Ep  209\tMaxAvg100: 0.00\tMax: 0.00 [ 0.00, -0.01]\t -- t: 003025 sigma: 0.5821 \n",
      "Ep  210\tMaxAvg100: 0.00\tMax: 0.00 [-0.01,  0.00]\t -- t: 003039 sigma: 0.5820 \n",
      "Ep  211\tMaxAvg100: 0.00\tMax: 0.00 [-0.01,  0.00]\t -- t: 003053 sigma: 0.5820 \n",
      "Ep  212\tMaxAvg100: 0.00\tMax: 0.00 [ 0.00, -0.01]\t -- t: 003067 sigma: 0.5819 \n",
      "Ep  213\tMaxAvg100: 0.00\tMax: 0.00 [ 0.00, -0.01]\t -- t: 003081 sigma: 0.5818 \n",
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      "Ep  215\tMaxAvg100: 0.00\tMax: 0.00 [ 0.00, -0.01]\t -- t: 003110 sigma: 0.5816 \n",
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      "Ep  219\tMaxAvg100: 0.00\tMax: 0.00 [ 0.00, -0.01]\t -- t: 003167 sigma: 0.5813 \n",
      "Ep  220\tMaxAvg100: 0.00\tMax: 0.00 [ 0.00, -0.01]\t -- t: 003182 sigma: 0.5812 \n",
      "Ep  221\tMaxAvg100: 0.00\tMax: 0.00 [ 0.00, -0.01]\t -- t: 003196 sigma: 0.5811 \n",
      "Ep  222\tMaxAvg100: 0.00\tMax: 0.00 [-0.01,  0.00]\t -- t: 003210 sigma: 0.5810 \n",
      "Ep  223\tMaxAvg100: 0.00\tMax: 0.00 [ 0.00, -0.01]\t -- t: 003224 sigma: 0.5810 \n",
      "Ep  224\tMaxAvg100: 0.00\tMax: 0.00 [ 0.00, -0.01]\t -- t: 003238 sigma: 0.5809 \n",
      "Ep  225\tMaxAvg100: 0.00\tMax: 0.00 [-0.01,  0.00]\t -- t: 003252 sigma: 0.5808 \n",
      "Ep  226\tMaxAvg100: 0.00\tMax: 0.00 [ 0.00, -0.01]\t -- t: 003266 sigma: 0.5807 \n",
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      "Ep  291\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 004515 sigma: 0.5735 [S]\n",
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      "Ep  293\tMaxAvg100: 0.01\tMax: 0.09 [ 0.00,  0.09]\t -- t: 004561 sigma: 0.5732 [S]\n",
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      "Ep  295\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 004604 sigma: 0.5730 [S]\n",
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      "Ep  297\tMaxAvg100: 0.01\tMax: 0.10 [-0.01,  0.10]\t -- t: 004645 sigma: 0.5728 [S]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Ep  298\tMaxAvg100: 0.01\tMax: 0.20 [ 0.08,  0.20]\t -- t: 004716 sigma: 0.5724 [S]\n",
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      "Ep  390\tMaxAvg100: 0.04\tMax: 0.00 [-0.01,  0.00]\t -- t: 006887 sigma: 0.5601 \n",
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      "Ep  399\tMaxAvg100: 0.04\tMax: 0.10 [ 0.10, -0.01]\t -- t: 007098 sigma: 0.5589 \n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Ep  400\tMaxAvg100: 0.04\tMax: 0.09 [ 0.00,  0.09]\t -- t: 007129 sigma: 0.5587 \n",
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      "Ep  443\tMaxAvg100: 0.05\tMax: 0.00 [-0.01,  0.00]\t -- t: 008375 sigma: 0.5518 [S]\n",
      "Ep  444\tMaxAvg100: 0.05\tMax: 0.10 [ 0.10, -0.01]\t -- t: 008405 sigma: 0.5516 [S]\n",
      "Ep  445\tMaxAvg100: 0.05\tMax: 0.10 [ 0.10, -0.01]\t -- t: 008435 sigma: 0.5515 [S]\n",
      "Ep  446\tMaxAvg100: 0.05\tMax: 0.00 [ 0.00, -0.01]\t -- t: 008449 sigma: 0.5514 [S]\n",
      "Ep  447\tMaxAvg100: 0.05\tMax: 0.00 [-0.01,  0.00]\t -- t: 008463 sigma: 0.5513 [S]\n",
      "Ep  448\tMaxAvg100: 0.05\tMax: 0.00 [ 0.00, -0.01]\t -- t: 008477 sigma: 0.5512 \n",
      "Ep  449\tMaxAvg100: 0.05\tMax: 0.10 [-0.01,  0.10]\t -- t: 008508 sigma: 0.5511 \n",
      "Ep  450\tMaxAvg100: 0.05\tMax: 0.10 [ 0.10, -0.01]\t -- t: 008538 sigma: 0.5509 \n",
      "Ep  451\tMaxAvg100: 0.05\tMax: 0.00 [-0.01,  0.00]\t -- t: 008553 sigma: 0.5508 [S]\n",
      "Ep  452\tMaxAvg100: 0.05\tMax: 0.00 [-0.01,  0.00]\t -- t: 008569 sigma: 0.5507 [S]\n",
      "Ep  453\tMaxAvg100: 0.05\tMax: 0.00 [ 0.00, -0.01]\t -- t: 008583 sigma: 0.5506 [S]\n",
      "Ep  454\tMaxAvg100: 0.05\tMax: 0.00 [-0.01,  0.00]\t -- t: 008597 sigma: 0.5506 [S]\n",
      "Ep  455\tMaxAvg100: 0.05\tMax: 0.10 [-0.01,  0.10]\t -- t: 008627 sigma: 0.5504 \n",
      "Ep  456\tMaxAvg100: 0.05\tMax: 0.00 [ 0.00, -0.01]\t -- t: 008641 sigma: 0.5503 \n",
      "Ep  457\tMaxAvg100: 0.05\tMax: 0.00 [ 0.00, -0.01]\t -- t: 008655 sigma: 0.5503 \n",
      "Ep  458\tMaxAvg100: 0.05\tMax: 0.00 [ 0.00, -0.01]\t -- t: 008669 sigma: 0.5502 \n",
      "Ep  459\tMaxAvg100: 0.05\tMax: 0.10 [-0.01,  0.10]\t -- t: 008698 sigma: 0.5500 \n",
      "Ep  460\tMaxAvg100: 0.05\tMax: 0.00 [ 0.00, -0.01]\t -- t: 008713 sigma: 0.5499 \n",
      "Ep  461\tMaxAvg100: 0.05\tMax: 0.00 [-0.01,  0.00]\t -- t: 008727 sigma: 0.5499 \n",
      "Ep  462\tMaxAvg100: 0.05\tMax: 0.00 [-0.01,  0.00]\t -- t: 008741 sigma: 0.5498 \n",
      "Ep  463\tMaxAvg100: 0.05\tMax: 0.10 [ 0.10, -0.01]\t -- t: 008770 sigma: 0.5496 \n",
      "Ep  464\tMaxAvg100: 0.05\tMax: 0.00 [-0.01,  0.00]\t -- t: 008784 sigma: 0.5495 \n",
      "Ep  465\tMaxAvg100: 0.05\tMax: 0.10 [-0.01,  0.10]\t -- t: 008821 sigma: 0.5493 \n",
      "Ep  466\tMaxAvg100: 0.05\tMax: 0.00 [-0.01,  0.00]\t -- t: 008836 sigma: 0.5493 [S]\n",
      "Ep  467\tMaxAvg100: 0.05\tMax: 0.10 [ 0.10, -0.01]\t -- t: 008866 sigma: 0.5491 \n",
      "Ep  468\tMaxAvg100: 0.05\tMax: 0.09 [ 0.00,  0.09]\t -- t: 008899 sigma: 0.5489 \n",
      "Ep  469\tMaxAvg100: 0.05\tMax: 0.10 [ 0.10,  0.09]\t -- t: 008966 sigma: 0.5485 \n",
      "Ep  470\tMaxAvg100: 0.05\tMax: 0.09 [ 0.00,  0.09]\t -- t: 008997 sigma: 0.5484 \n",
      "Ep  471\tMaxAvg100: 0.05\tMax: 0.00 [-0.01,  0.00]\t -- t: 009012 sigma: 0.5483 [S]\n",
      "Ep  472\tMaxAvg100: 0.05\tMax: 0.00 [-0.01,  0.00]\t -- t: 009026 sigma: 0.5482 \n",
      "Ep  473\tMaxAvg100: 0.05\tMax: 0.00 [-0.01,  0.00]\t -- t: 009040 sigma: 0.5481 \n",
      "Ep  474\tMaxAvg100: 0.05\tMax: 0.00 [ 0.00, -0.01]\t -- t: 009054 sigma: 0.5481 \n",
      "Ep  475\tMaxAvg100: 0.05\tMax: 0.10 [-0.01,  0.10]\t -- t: 009085 sigma: 0.5479 \n",
      "Ep  476\tMaxAvg100: 0.05\tMax: 0.09 [ 0.00,  0.09]\t -- t: 009116 sigma: 0.5477 \n",
      "Ep  477\tMaxAvg100: 0.05\tMax: 0.00 [-0.01,  0.00]\t -- t: 009130 sigma: 0.5476 \n",
      "Ep  478\tMaxAvg100: 0.05\tMax: 0.10 [ 0.10, -0.01]\t -- t: 009161 sigma: 0.5475 \n",
      "Ep  479\tMaxAvg100: 0.05\tMax: 0.00 [ 0.00, -0.01]\t -- t: 009175 sigma: 0.5474 \n",
      "Ep  480\tMaxAvg100: 0.05\tMax: 0.09 [ 0.00,  0.09]\t -- t: 009207 sigma: 0.5472 \n",
      "Ep  481\tMaxAvg100: 0.05\tMax: 0.10 [ 0.10, -0.01]\t -- t: 009237 sigma: 0.5471 \n",
      "Ep  482\tMaxAvg100: 0.05\tMax: 0.00 [ 0.00, -0.01]\t -- t: 009251 sigma: 0.5470 \n",
      "Ep  483\tMaxAvg100: 0.05\tMax: 0.10 [-0.01,  0.10]\t -- t: 009283 sigma: 0.5468 \n",
      "Ep  484\tMaxAvg100: 0.05\tMax: 0.00 [ 0.00, -0.01]\t -- t: 009297 sigma: 0.5467 \n",
      "Ep  485\tMaxAvg100: 0.05\tMax: 0.00 [-0.01,  0.00]\t -- t: 009310 sigma: 0.5467 \n",
      "Ep  486\tMaxAvg100: 0.05\tMax: 0.00 [ 0.00, -0.01]\t -- t: 009324 sigma: 0.5466 \n",
      "Ep  487\tMaxAvg100: 0.05\tMax: 0.00 [ 0.00, -0.01]\t -- t: 009338 sigma: 0.5465 \n",
      "Ep  488\tMaxAvg100: 0.05\tMax: 0.10 [ 0.10, -0.01]\t -- t: 009369 sigma: 0.5463 \n",
      "Ep  489\tMaxAvg100: 0.05\tMax: 0.10 [ 0.10, -0.01]\t -- t: 009401 sigma: 0.5462 \n",
      "Ep  490\tMaxAvg100: 0.05\tMax: 0.00 [-0.01,  0.00]\t -- t: 009414 sigma: 0.5461 \n",
      "Ep  491\tMaxAvg100: 0.05\tMax: 0.20 [ 0.20,  0.19]\t -- t: 009504 sigma: 0.5456 \n",
      "Ep  492\tMaxAvg100: 0.05\tMax: 0.00 [ 0.00, -0.01]\t -- t: 009522 sigma: 0.5455 [S]\n",
      "Ep  493\tMaxAvg100: 0.05\tMax: 0.00 [-0.01,  0.00]\t -- t: 009536 sigma: 0.5454 \n",
      "Ep  494\tMaxAvg100: 0.05\tMax: 0.00 [ 0.00, -0.01]\t -- t: 009550 sigma: 0.5454 \n",
      "Ep  495\tMaxAvg100: 0.05\tMax: 0.10 [-0.01,  0.10]\t -- t: 009579 sigma: 0.5452 \n",
      "Ep  496\tMaxAvg100: 0.05\tMax: 0.00 [-0.01,  0.00]\t -- t: 009594 sigma: 0.5451 \n",
      "Ep  497\tMaxAvg100: 0.05\tMax: 0.00 [-0.01,  0.00]\t -- t: 009608 sigma: 0.5450 \n",
      "Ep  498\tMaxAvg100: 0.05\tMax: 0.00 [ 0.00, -0.01]\t -- t: 009622 sigma: 0.5450 \n",
      "Ep  499\tMaxAvg100: 0.05\tMax: 0.00 [ 0.00, -0.01]\t -- t: 009636 sigma: 0.5449 \n",
      "Ep  500\tMaxAvg100: 0.05\tMax: 0.10 [ 0.10, -0.01]\t -- t: 009665 sigma: 0.5447 \n",
      "Ep  501\tMaxAvg100: 0.05\tMax: 0.00 [ 0.00, -0.01]\t -- t: 009687 sigma: 0.5446 \n",
      "Ep  502\tMaxAvg100: 0.05\tMax: 0.10 [-0.01,  0.10]\t -- t: 009716 sigma: 0.5444 \n",
      "Ep  503\tMaxAvg100: 0.05\tMax: 0.09 [ 0.00,  0.09]\t -- t: 009747 sigma: 0.5443 \n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Ep  504\tMaxAvg100: 0.05\tMax: 0.00 [ 0.00, -0.01]\t -- t: 009761 sigma: 0.5442 \n",
      "Ep  505\tMaxAvg100: 0.05\tMax: 0.30 [ 0.19,  0.30]\t -- t: 009870 sigma: 0.5436 \n",
      "Ep  506\tMaxAvg100: 0.05\tMax: 0.10 [ 0.10, -0.01]\t -- t: 009899 sigma: 0.5435 \n",
      "Ep  507\tMaxAvg100: 0.05\tMax: 0.10 [ 0.10, -0.01]\t -- t: 009931 sigma: 0.5433 [S]\n",
      "Ep  508\tMaxAvg100: 0.05\tMax: 0.09 [ 0.00,  0.09]\t -- t: 009962 sigma: 0.5431 [S]\n",
      "Ep  509\tMaxAvg100: 0.05\tMax: 0.20 [ 0.19,  0.20]\t -- t: 010052 sigma: 0.5426 [S]\n",
      "Ep  510\tMaxAvg100: 0.05\tMax: 0.10 [ 0.10, -0.01]\t -- t: 010076 sigma: 0.5425 [S]\n",
      "Ep  511\tMaxAvg100: 0.05\tMax: 0.09 [ 0.00,  0.09]\t -- t: 010107 sigma: 0.5423 [S]\n",
      "Ep  512\tMaxAvg100: 0.05\tMax: 0.09 [ 0.00,  0.09]\t -- t: 010137 sigma: 0.5422 [S]\n",
      "Ep  513\tMaxAvg100: 0.05\tMax: 0.10 [ 0.09,  0.10]\t -- t: 010190 sigma: 0.5419 [S]\n",
      "Ep  514\tMaxAvg100: 0.05\tMax: 0.00 [-0.01,  0.00]\t -- t: 010204 sigma: 0.5418 [S]\n",
      "Ep  515\tMaxAvg100: 0.05\tMax: 0.09 [ 0.09,  0.00]\t -- t: 010221 sigma: 0.5417 \n",
      "Ep  516\tMaxAvg100: 0.05\tMax: 0.10 [ 0.10,  0.09]\t -- t: 010266 sigma: 0.5415 [S]\n",
      "Ep  517\tMaxAvg100: 0.05\tMax: 0.09 [ 0.00,  0.09]\t -- t: 010296 sigma: 0.5413 [S]\n",
      "Ep  518\tMaxAvg100: 0.05\tMax: 0.10 [ 0.10, -0.01]\t -- t: 010325 sigma: 0.5411 [S]\n",
      "Ep  519\tMaxAvg100: 0.05\tMax: 0.10 [-0.01,  0.10]\t -- t: 010356 sigma: 0.5410 [S]\n",
      "Ep  520\tMaxAvg100: 0.05\tMax: 0.10 [ 0.10, -0.01]\t -- t: 010386 sigma: 0.5408 [S]\n",
      "Ep  521\tMaxAvg100: 0.05\tMax: 0.10 [ 0.10, -0.01]\t -- t: 010415 sigma: 0.5407 \n",
      "Ep  522\tMaxAvg100: 0.05\tMax: 0.10 [ 0.10,  0.09]\t -- t: 010460 sigma: 0.5404 [S]\n",
      "Ep  523\tMaxAvg100: 0.05\tMax: 0.00 [-0.01,  0.00]\t -- t: 010474 sigma: 0.5403 [S]\n",
      "Ep  524\tMaxAvg100: 0.05\tMax: 0.10 [ 0.10, -0.01]\t -- t: 010505 sigma: 0.5402 \n",
      "Ep  525\tMaxAvg100: 0.05\tMax: 0.10 [ 0.10, -0.01]\t -- t: 010535 sigma: 0.5400 [S]\n",
      "Ep  526\tMaxAvg100: 0.05\tMax: 0.10 [-0.01,  0.10]\t -- t: 010567 sigma: 0.5398 [S]\n",
      "Ep  527\tMaxAvg100: 0.06\tMax: 0.09 [ 0.00,  0.09]\t -- t: 010598 sigma: 0.5397 [S]\n",
      "Ep  528\tMaxAvg100: 0.06\tMax: 0.10 [ 0.10, -0.01]\t -- t: 010628 sigma: 0.5395 [S]\n",
      "Ep  529\tMaxAvg100: 0.06\tMax: 0.10 [-0.01,  0.10]\t -- t: 010658 sigma: 0.5393 [S]\n",
      "Ep  530\tMaxAvg100: 0.06\tMax: 0.30 [ 0.19,  0.30]\t -- t: 010767 sigma: 0.5388 [S]\n",
      "Ep  531\tMaxAvg100: 0.06\tMax: 0.10 [ 0.10, -0.01]\t -- t: 010798 sigma: 0.5386 [S]\n",
      "Ep  532\tMaxAvg100: 0.06\tMax: 0.10 [ 0.10,  0.09]\t -- t: 010850 sigma: 0.5383 [S]\n",
      "Ep  533\tMaxAvg100: 0.06\tMax: 0.10 [ 0.09,  0.10]\t -- t: 010903 sigma: 0.5380 [S]\n",
      "Ep  534\tMaxAvg100: 0.06\tMax: 0.10 [ 0.10, -0.01]\t -- t: 010933 sigma: 0.5379 [S]\n",
      "Ep  535\tMaxAvg100: 0.06\tMax: 0.10 [ 0.10, -0.01]\t -- t: 010963 sigma: 0.5377 [S]\n",
      "Ep  536\tMaxAvg100: 0.06\tMax: 0.10 [ 0.10, -0.01]\t -- t: 010994 sigma: 0.5375 \n",
      "Ep  537\tMaxAvg100: 0.06\tMax: 0.10 [ 0.10, -0.01]\t -- t: 011017 sigma: 0.5374 \n",
      "Ep  538\tMaxAvg100: 0.06\tMax: 0.09 [ 0.00,  0.09]\t -- t: 011047 sigma: 0.5372 \n",
      "Ep  539\tMaxAvg100: 0.06\tMax: 0.09 [ 0.00,  0.09]\t -- t: 011076 sigma: 0.5371 \n",
      "Ep  540\tMaxAvg100: 0.06\tMax: 0.10 [-0.01,  0.10]\t -- t: 011109 sigma: 0.5369 \n",
      "Ep  541\tMaxAvg100: 0.06\tMax: 0.10 [ 0.10, -0.01]\t -- t: 011139 sigma: 0.5368 \n",
      "Ep  542\tMaxAvg100: 0.06\tMax: 0.09 [ 0.00,  0.09]\t -- t: 011169 sigma: 0.5366 \n",
      "Ep  543\tMaxAvg100: 0.06\tMax: 0.09 [ 0.00,  0.09]\t -- t: 011199 sigma: 0.5364 \n",
      "Ep  544\tMaxAvg100: 0.06\tMax: 0.10 [ 0.10, -0.01]\t -- t: 011230 sigma: 0.5363 [S]\n",
      "Ep  545\tMaxAvg100: 0.06\tMax: 0.10 [ 0.10, -0.01]\t -- t: 011261 sigma: 0.5361 [S]\n",
      "Ep  546\tMaxAvg100: 0.06\tMax: 0.09 [ 0.00,  0.09]\t -- t: 011293 sigma: 0.5359 [S]\n",
      "Ep  547\tMaxAvg100: 0.06\tMax: 0.10 [ 0.10, -0.01]\t -- t: 011323 sigma: 0.5358 [S]\n",
      "Ep  548\tMaxAvg100: 0.06\tMax: 0.10 [ 0.10,  0.09]\t -- t: 011375 sigma: 0.5355 [S]\n",
      "Ep  549\tMaxAvg100: 0.06\tMax: 0.00 [ 0.00, -0.01]\t -- t: 011396 sigma: 0.5354 [S]\n",
      "Ep  550\tMaxAvg100: 0.06\tMax: 0.00 [-0.01,  0.00]\t -- t: 011412 sigma: 0.5353 \n",
      "Ep  551\tMaxAvg100: 0.06\tMax: 0.10 [ 0.09,  0.10]\t -- t: 011466 sigma: 0.5350 \n",
      "Ep  552\tMaxAvg100: 0.06\tMax: 0.10 [ 0.10, -0.01]\t -- t: 011497 sigma: 0.5348 \n",
      "Ep  553\tMaxAvg100: 0.06\tMax: 0.10 [ 0.10, -0.01]\t -- t: 011527 sigma: 0.5347 [S]\n",
      "Ep  554\tMaxAvg100: 0.06\tMax: 0.10 [ 0.10, -0.01]\t -- t: 011557 sigma: 0.5345 [S]\n",
      "Ep  555\tMaxAvg100: 0.06\tMax: 0.09 [ 0.00,  0.09]\t -- t: 011589 sigma: 0.5343 [S]\n",
      "Ep  556\tMaxAvg100: 0.06\tMax: 0.10 [ 0.10,  0.09]\t -- t: 011640 sigma: 0.5341 [S]\n",
      "Ep  557\tMaxAvg100: 0.06\tMax: 0.10 [ 0.10, -0.01]\t -- t: 011670 sigma: 0.5339 [S]\n",
      "Ep  558\tMaxAvg100: 0.06\tMax: 0.00 [-0.01,  0.00]\t -- t: 011686 sigma: 0.5338 [S]\n",
      "Ep  559\tMaxAvg100: 0.06\tMax: 0.00 [ 0.00, -0.01]\t -- t: 011700 sigma: 0.5338 [S]\n",
      "Ep  560\tMaxAvg100: 0.06\tMax: 0.09 [ 0.00,  0.09]\t -- t: 011730 sigma: 0.5336 \n",
      "Ep  561\tMaxAvg100: 0.06\tMax: 0.09 [ 0.00,  0.09]\t -- t: 011759 sigma: 0.5334 [S]\n",
      "Ep  562\tMaxAvg100: 0.06\tMax: 0.09 [ 0.00,  0.09]\t -- t: 011790 sigma: 0.5333 [S]\n",
      "Ep  563\tMaxAvg100: 0.06\tMax: 0.10 [ 0.10, -0.01]\t -- t: 011821 sigma: 0.5331 [S]\n",
      "Ep  564\tMaxAvg100: 0.06\tMax: 0.10 [ 0.10, -0.01]\t -- t: 011851 sigma: 0.5329 [S]\n",
      "Ep  565\tMaxAvg100: 0.07\tMax: 0.09 [ 0.00,  0.09]\t -- t: 011881 sigma: 0.5328 [S]\n",
      "Ep  566\tMaxAvg100: 0.07\tMax: 0.10 [ 0.10, -0.01]\t -- t: 011913 sigma: 0.5326 [S]\n",
      "Ep  567\tMaxAvg100: 0.07\tMax: 0.00 [-0.01,  0.00]\t -- t: 011926 sigma: 0.5325 [S]\n",
      "Ep  568\tMaxAvg100: 0.07\tMax: 0.10 [ 0.10, -0.01]\t -- t: 011956 sigma: 0.5324 \n",
      "Ep  569\tMaxAvg100: 0.07\tMax: 0.09 [ 0.00,  0.09]\t -- t: 011988 sigma: 0.5322 \n",
      "Ep  570\tMaxAvg100: 0.07\tMax: 0.10 [-0.01,  0.10]\t -- t: 012019 sigma: 0.5321 \n",
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      "Ep  575\tMaxAvg100: 0.07\tMax: 0.10 [ 0.10,  0.09]\t -- t: 012190 sigma: 0.5311 [S]\n",
      "Ep  576\tMaxAvg100: 0.07\tMax: 0.30 [ 0.30,  0.29]\t -- t: 012323 sigma: 0.5304 [S]\n",
      "Ep  577\tMaxAvg100: 0.07\tMax: 0.10 [ 0.10, -0.01]\t -- t: 012353 sigma: 0.5303 [S]\n",
      "Ep  578\tMaxAvg100: 0.07\tMax: 0.10 [ 0.10,  0.09]\t -- t: 012404 sigma: 0.5300 [S]\n",
      "Ep  579\tMaxAvg100: 0.07\tMax: 0.10 [ 0.10, -0.01]\t -- t: 012435 sigma: 0.5298 [S]\n",
      "Ep  580\tMaxAvg100: 0.07\tMax: 0.09 [ 0.00,  0.09]\t -- t: 012465 sigma: 0.5297 [S]\n",
      "Ep  581\tMaxAvg100: 0.07\tMax: 0.20 [ 0.09,  0.20]\t -- t: 012532 sigma: 0.5293 [S]\n",
      "Ep  582\tMaxAvg100: 0.07\tMax: 0.10 [ 0.10,  0.09]\t -- t: 012567 sigma: 0.5291 [S]\n",
      "Ep  583\tMaxAvg100: 0.07\tMax: 0.19 [ 0.10,  0.19]\t -- t: 012636 sigma: 0.5288 [S]\n",
      "Ep  584\tMaxAvg100: 0.07\tMax: 0.10 [ 0.10, -0.01]\t -- t: 012666 sigma: 0.5286 [S]\n",
      "Ep  585\tMaxAvg100: 0.07\tMax: 0.10 [ 0.10, -0.01]\t -- t: 012685 sigma: 0.5285 [S]\n",
      "Ep  586\tMaxAvg100: 0.07\tMax: 0.10 [ 0.10,  0.09]\t -- t: 012722 sigma: 0.5283 [S]\n",
      "Ep  587\tMaxAvg100: 0.07\tMax: 0.10 [ 0.09,  0.10]\t -- t: 012773 sigma: 0.5281 [S]\n",
      "Ep  588\tMaxAvg100: 0.07\tMax: 0.10 [ 0.10, -0.01]\t -- t: 012803 sigma: 0.5279 [S]\n",
      "Ep  589\tMaxAvg100: 0.07\tMax: 0.10 [ 0.10, -0.01]\t -- t: 012833 sigma: 0.5277 [S]\n",
      "Ep  590\tMaxAvg100: 0.08\tMax: 0.09 [ 0.00,  0.09]\t -- t: 012862 sigma: 0.5276 [S]\n",
      "Ep  591\tMaxAvg100: 0.08\tMax: 0.20 [ 0.20,  0.09]\t -- t: 012930 sigma: 0.5272 [S]\n",
      "Ep  592\tMaxAvg100: 0.08\tMax: 0.09 [ 0.00,  0.09]\t -- t: 012961 sigma: 0.5271 [S]\n",
      "Ep  593\tMaxAvg100: 0.08\tMax: 0.09 [ 0.00,  0.09]\t -- t: 012991 sigma: 0.5269 [S]\n",
      "Ep  594\tMaxAvg100: 0.08\tMax: 0.09 [ 0.00,  0.09]\t -- t: 013021 sigma: 0.5267 [S]\n",
      "Ep  595\tMaxAvg100: 0.08\tMax: 0.10 [-0.01,  0.10]\t -- t: 013054 sigma: 0.5266 [S]\n",
      "Ep  596\tMaxAvg100: 0.08\tMax: 0.10 [ 0.10,  0.09]\t -- t: 013108 sigma: 0.5263 [S]\n",
      "Ep  597\tMaxAvg100: 0.08\tMax: 0.09 [ 0.00,  0.09]\t -- t: 013140 sigma: 0.5261 [S]\n",
      "Ep  598\tMaxAvg100: 0.08\tMax: 0.10 [ 0.09,  0.10]\t -- t: 013194 sigma: 0.5258 [S]\n",
      "Ep  599\tMaxAvg100: 0.08\tMax: 0.09 [ 0.00,  0.09]\t -- t: 013225 sigma: 0.5257 [S]\n",
      "Ep  600\tMaxAvg100: 0.08\tMax: 0.10 [-0.01,  0.10]\t -- t: 013256 sigma: 0.5255 [S]\n",
      "Ep  601\tMaxAvg100: 0.08\tMax: 0.10 [ 0.10, -0.01]\t -- t: 013287 sigma: 0.5253 [S]\n",
      "Ep  602\tMaxAvg100: 0.08\tMax: 0.10 [ 0.10,  0.09]\t -- t: 013340 sigma: 0.5251 [S]\n",
      "Ep  603\tMaxAvg100: 0.08\tMax: 0.10 [ 0.10, -0.01]\t -- t: 013370 sigma: 0.5249 [S]\n",
      "Ep  604\tMaxAvg100: 0.08\tMax: 0.10 [ 0.10, -0.01]\t -- t: 013401 sigma: 0.5247 [S]\n",
      "Ep  605\tMaxAvg100: 0.08\tMax: 0.00 [ 0.00, -0.01]\t -- t: 013415 sigma: 0.5247 [S]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Ep  606\tMaxAvg100: 0.08\tMax: 0.10 [ 0.10,  0.09]\t -- t: 013468 sigma: 0.5244 \n",
      "Ep  607\tMaxAvg100: 0.08\tMax: 0.10 [ 0.10,  0.09]\t -- t: 013520 sigma: 0.5241 \n",
      "Ep  608\tMaxAvg100: 0.08\tMax: 0.20 [ 0.20,  0.09]\t -- t: 013586 sigma: 0.5238 \n",
      "Ep  609\tMaxAvg100: 0.08\tMax: 0.10 [ 0.10,  0.09]\t -- t: 013638 sigma: 0.5235 \n",
      "Ep  610\tMaxAvg100: 0.08\tMax: 0.20 [ 0.20,  0.09]\t -- t: 013703 sigma: 0.5232 \n",
      "Ep  611\tMaxAvg100: 0.08\tMax: 0.10 [ 0.10,  0.09]\t -- t: 013755 sigma: 0.5229 \n",
      "Ep  612\tMaxAvg100: 0.08\tMax: 0.20 [ 0.20,  0.09]\t -- t: 013826 sigma: 0.5225 [S]\n",
      "Ep  613\tMaxAvg100: 0.08\tMax: 0.10 [-0.01,  0.10]\t -- t: 013857 sigma: 0.5224 [S]\n",
      "Ep  614\tMaxAvg100: 0.08\tMax: 0.20 [ 0.20,  0.19]\t -- t: 013945 sigma: 0.5219 [S]\n",
      "Ep  615\tMaxAvg100: 0.08\tMax: 0.10 [ 0.10,  0.09]\t -- t: 013997 sigma: 0.5216 [S]\n",
      "Ep  616\tMaxAvg100: 0.08\tMax: 0.10 [-0.01,  0.10]\t -- t: 014027 sigma: 0.5215 [S]\n",
      "Ep  617\tMaxAvg100: 0.08\tMax: 0.20 [ 0.20,  0.09]\t -- t: 014096 sigma: 0.5211 [S]\n",
      "Ep  618\tMaxAvg100: 0.09\tMax: 0.20 [ 0.19,  0.20]\t -- t: 014203 sigma: 0.5206 [S]\n",
      "Ep  619\tMaxAvg100: 0.09\tMax: 0.10 [-0.01,  0.10]\t -- t: 014254 sigma: 0.5203 [S]\n",
      "Ep  620\tMaxAvg100: 0.09\tMax: 0.30 [ 0.30,  0.29]\t -- t: 014383 sigma: 0.5196 [S]\n",
      "Ep  621\tMaxAvg100: 0.09\tMax: 0.30 [ 0.30,  0.29]\t -- t: 014511 sigma: 0.5190 [S]\n",
      "Ep  622\tMaxAvg100: 0.09\tMax: 0.29 [ 0.20,  0.29]\t -- t: 014617 sigma: 0.5184 [S]\n",
      "Ep  623\tMaxAvg100: 0.09\tMax: 0.30 [ 0.30,  0.29]\t -- t: 014744 sigma: 0.5177 [S]\n",
      "Ep  624\tMaxAvg100: 0.09\tMax: 0.10 [-0.01,  0.10]\t -- t: 014775 sigma: 0.5176 [S]\n",
      "Ep  625\tMaxAvg100: 0.09\tMax: 0.20 [ 0.18,  0.20]\t -- t: 014865 sigma: 0.5171 [S]\n",
      "Ep  626\tMaxAvg100: 0.09\tMax: 0.10 [ 0.10, -0.01]\t -- t: 014896 sigma: 0.5170 [S]\n",
      "Ep  627\tMaxAvg100: 0.09\tMax: 0.19 [ 0.10,  0.19]\t -- t: 014964 sigma: 0.5166 [S]\n",
      "Ep  628\tMaxAvg100: 0.09\tMax: 0.09 [ 0.00,  0.09]\t -- t: 014995 sigma: 0.5165 [S]\n",
      "Ep  629\tMaxAvg100: 0.09\tMax: 0.09 [ 0.00,  0.09]\t -- t: 015026 sigma: 0.5163 [S]\n",
      "Ep  630\tMaxAvg100: 0.09\tMax: 0.10 [-0.01,  0.10]\t -- t: 015058 sigma: 0.5161 [S]\n",
      "Ep  631\tMaxAvg100: 0.09\tMax: 0.09 [ 0.00,  0.09]\t -- t: 015089 sigma: 0.5160 \n",
      "Ep  632\tMaxAvg100: 0.09\tMax: 0.10 [ 0.10,  0.09]\t -- t: 015122 sigma: 0.5158 \n",
      "Ep  633\tMaxAvg100: 0.09\tMax: 0.20 [ 0.20,  0.09]\t -- t: 015191 sigma: 0.5154 \n",
      "Ep  634\tMaxAvg100: 0.09\tMax: 0.00 [ 0.00, -0.01]\t -- t: 015205 sigma: 0.5154 [S]\n",
      "Ep  635\tMaxAvg100: 0.09\tMax: 0.10 [ 0.10, -0.01]\t -- t: 015236 sigma: 0.5152 \n",
      "Ep  636\tMaxAvg100: 0.09\tMax: 0.10 [ 0.10,  0.09]\t -- t: 015288 sigma: 0.5149 \n",
      "Ep  637\tMaxAvg100: 0.09\tMax: 0.29 [ 0.20,  0.29]\t -- t: 015395 sigma: 0.5144 [S]\n",
      "Ep  638\tMaxAvg100: 0.09\tMax: 0.10 [ 0.10, -0.01]\t -- t: 015428 sigma: 0.5142 [S]\n",
      "Ep  639\tMaxAvg100: 0.09\tMax: 0.09 [ 0.00,  0.09]\t -- t: 015458 sigma: 0.5141 [S]\n",
      "Ep  640\tMaxAvg100: 0.09\tMax: 0.10 [ 0.10, -0.01]\t -- t: 015490 sigma: 0.5139 [S]\n",
      "Ep  641\tMaxAvg100: 0.09\tMax: 0.10 [-0.01,  0.10]\t -- t: 015521 sigma: 0.5137 [S]\n",
      "Ep  642\tMaxAvg100: 0.10\tMax: 0.10 [-0.01,  0.10]\t -- t: 015553 sigma: 0.5136 [S]\n",
      "Ep  643\tMaxAvg100: 0.10\tMax: 0.10 [ 0.10, -0.01]\t -- t: 015583 sigma: 0.5134 [S]\n",
      "Ep  644\tMaxAvg100: 0.10\tMax: 0.30 [ 0.30,  0.29]\t -- t: 015706 sigma: 0.5128 [S]\n",
      "Ep  645\tMaxAvg100: 0.10\tMax: 0.10 [ 0.10, -0.01]\t -- t: 015736 sigma: 0.5126 [S]\n",
      "Ep  646\tMaxAvg100: 0.10\tMax: 0.10 [ 0.09,  0.10]\t -- t: 015805 sigma: 0.5123 [S]\n",
      "Ep  647\tMaxAvg100: 0.10\tMax: 0.00 [-0.01,  0.00]\t -- t: 015819 sigma: 0.5122 [S]\n",
      "Ep  648\tMaxAvg100: 0.10\tMax: 0.20 [ 0.20,  0.19]\t -- t: 015906 sigma: 0.5118 \n",
      "Ep  649\tMaxAvg100: 0.10\tMax: 0.10 [ 0.09,  0.10]\t -- t: 015957 sigma: 0.5115 [S]\n",
      "Ep  650\tMaxAvg100: 0.10\tMax: 0.20 [ 0.20,  0.09]\t -- t: 016026 sigma: 0.5112 [S]\n",
      "Ep  651\tMaxAvg100: 0.10\tMax: 0.10 [ 0.10, -0.01]\t -- t: 016058 sigma: 0.5110 [S]\n",
      "Ep  652\tMaxAvg100: 0.10\tMax: 0.10 [-0.01,  0.10]\t -- t: 016088 sigma: 0.5108 [S]\n",
      "Ep  653\tMaxAvg100: 0.10\tMax: 0.30 [ 0.30,  0.19]\t -- t: 016195 sigma: 0.5103 [S]\n",
      "Ep  654\tMaxAvg100: 0.10\tMax: 0.20 [ 0.20,  0.19]\t -- t: 016282 sigma: 0.5098 [S]\n",
      "Ep  655\tMaxAvg100: 0.10\tMax: 0.20 [ 0.09,  0.20]\t -- t: 016353 sigma: 0.5095 [S]\n",
      "Ep  656\tMaxAvg100: 0.10\tMax: 0.10 [-0.01,  0.10]\t -- t: 016384 sigma: 0.5093 [S]\n",
      "Ep  657\tMaxAvg100: 0.10\tMax: 0.09 [ 0.00,  0.09]\t -- t: 016415 sigma: 0.5092 [S]\n",
      "Ep  658\tMaxAvg100: 0.10\tMax: 0.30 [ 0.19,  0.30]\t -- t: 016524 sigma: 0.5086 [S]\n",
      "Ep  659\tMaxAvg100: 0.10\tMax: 0.20 [ 0.20,  0.09]\t -- t: 016592 sigma: 0.5083 [S]\n",
      "Ep  660\tMaxAvg100: 0.11\tMax: 0.20 [ 0.20,  0.19]\t -- t: 016676 sigma: 0.5078 [S]\n",
      "Ep  661\tMaxAvg100: 0.11\tMax: 0.00 [-0.01,  0.00]\t -- t: 016690 sigma: 0.5078 [S]\n",
      "Ep  662\tMaxAvg100: 0.11\tMax: 0.10 [-0.01,  0.10]\t -- t: 016719 sigma: 0.5076 \n",
      "Ep  663\tMaxAvg100: 0.11\tMax: 0.10 [ 0.10,  0.09]\t -- t: 016770 sigma: 0.5074 [S]\n",
      "Ep  664\tMaxAvg100: 0.11\tMax: 0.10 [ 0.09,  0.10]\t -- t: 016821 sigma: 0.5071 [S]\n",
      "Ep  665\tMaxAvg100: 0.11\tMax: 0.30 [ 0.30,  0.29]\t -- t: 016949 sigma: 0.5065 [S]\n",
      "Ep  666\tMaxAvg100: 0.11\tMax: 0.20 [ 0.09,  0.20]\t -- t: 017021 sigma: 0.5061 [S]\n",
      "Ep  667\tMaxAvg100: 0.11\tMax: 0.10 [ 0.10,  0.09]\t -- t: 017073 sigma: 0.5058 [S]\n",
      "Ep  668\tMaxAvg100: 0.11\tMax: 0.10 [ 0.10, -0.01]\t -- t: 017104 sigma: 0.5057 [S]\n",
      "Ep  669\tMaxAvg100: 0.11\tMax: 0.29 [ 0.20,  0.29]\t -- t: 017209 sigma: 0.5051 [S]\n",
      "Ep  670\tMaxAvg100: 0.11\tMax: 0.00 [-0.01,  0.00]\t -- t: 017222 sigma: 0.5051 [S]\n",
      "Ep  671\tMaxAvg100: 0.11\tMax: 0.19 [ 0.10,  0.19]\t -- t: 017274 sigma: 0.5048 \n",
      "Ep  672\tMaxAvg100: 0.11\tMax: 0.10 [ 0.10, -0.01]\t -- t: 017319 sigma: 0.5046 [S]\n",
      "Ep  673\tMaxAvg100: 0.11\tMax: 0.40 [ 0.39,  0.40]\t -- t: 017483 sigma: 0.5038 [S]\n",
      "Ep  674\tMaxAvg100: 0.11\tMax: 0.00 [ 0.00, -0.01]\t -- t: 017497 sigma: 0.5037 [S]\n",
      "Ep  675\tMaxAvg100: 0.11\tMax: 0.10 [-0.01,  0.10]\t -- t: 017528 sigma: 0.5035 \n",
      "Ep  676\tMaxAvg100: 0.11\tMax: 0.09 [ 0.00,  0.09]\t -- t: 017558 sigma: 0.5034 \n",
      "Ep  677\tMaxAvg100: 0.11\tMax: 0.20 [ 0.20,  0.09]\t -- t: 017628 sigma: 0.5030 \n",
      "Ep  678\tMaxAvg100: 0.11\tMax: 0.10 [ 0.10, -0.01]\t -- t: 017658 sigma: 0.5029 \n",
      "Ep  679\tMaxAvg100: 0.11\tMax: 0.20 [ 0.20,  0.09]\t -- t: 017735 sigma: 0.5025 [S]\n",
      "Ep  680\tMaxAvg100: 0.11\tMax: 0.10 [-0.01,  0.10]\t -- t: 017767 sigma: 0.5023 [S]\n",
      "Ep  681\tMaxAvg100: 0.11\tMax: 0.10 [ 0.10,  0.09]\t -- t: 017818 sigma: 0.5021 [S]\n",
      "Ep  682\tMaxAvg100: 0.11\tMax: 0.39 [ 0.30,  0.39]\t -- t: 017963 sigma: 0.5013 \n",
      "Ep  683\tMaxAvg100: 0.12\tMax: 0.10 [ 0.10, -0.01]\t -- t: 017993 sigma: 0.5012 [S]\n",
      "Ep  684\tMaxAvg100: 0.12\tMax: 0.30 [ 0.19,  0.30]\t -- t: 018101 sigma: 0.5007 \n",
      "Ep  685\tMaxAvg100: 0.12\tMax: 0.10 [ 0.10, -0.01]\t -- t: 018131 sigma: 0.5005 [S]\n",
      "Ep  686\tMaxAvg100: 0.12\tMax: 0.20 [ 0.20,  0.19]\t -- t: 018234 sigma: 0.5000 [S]\n",
      "Ep  687\tMaxAvg100: 0.12\tMax: 0.20 [ 0.19,  0.20]\t -- t: 018323 sigma: 0.4995 [S]\n",
      "Ep  688\tMaxAvg100: 0.12\tMax: 0.00 [-0.01,  0.00]\t -- t: 018337 sigma: 0.4995 [S]\n",
      "Ep  689\tMaxAvg100: 0.12\tMax: 0.00 [ 0.00, -0.01]\t -- t: 018350 sigma: 0.4994 \n",
      "Ep  690\tMaxAvg100: 0.12\tMax: 0.40 [ 0.40,  0.29]\t -- t: 018497 sigma: 0.4987 \n",
      "Ep  691\tMaxAvg100: 0.12\tMax: 0.10 [ 0.10, -0.01]\t -- t: 018528 sigma: 0.4985 [S]\n",
      "Ep  692\tMaxAvg100: 0.12\tMax: 0.20 [ 0.09,  0.20]\t -- t: 018596 sigma: 0.4982 \n",
      "Ep  693\tMaxAvg100: 0.12\tMax: 0.10 [ 0.10, -0.01]\t -- t: 018627 sigma: 0.4980 [S]\n",
      "Ep  694\tMaxAvg100: 0.12\tMax: 0.70 [ 0.70,  0.69]\t -- t: 018902 sigma: 0.4967 [S]\n",
      "Ep  695\tMaxAvg100: 0.12\tMax: 0.20 [ 0.20,  0.09]\t -- t: 018968 sigma: 0.4963 [S]\n",
      "Ep  696\tMaxAvg100: 0.12\tMax: 0.49 [ 0.40,  0.49]\t -- t: 019151 sigma: 0.4954 [S]\n",
      "Ep  697\tMaxAvg100: 0.13\tMax: 0.10 [ 0.10, -0.01]\t -- t: 019181 sigma: 0.4953 [S]\n",
      "Ep  698\tMaxAvg100: 0.13\tMax: 0.09 [ 0.00,  0.09]\t -- t: 019212 sigma: 0.4951 [S]\n",
      "Ep  699\tMaxAvg100: 0.13\tMax: 0.50 [ 0.50,  0.39]\t -- t: 019411 sigma: 0.4941 [S]\n",
      "Ep  700\tMaxAvg100: 0.13\tMax: 0.50 [ 0.50,  0.49]\t -- t: 019615 sigma: 0.4931 [S]\n",
      "Ep  701\tMaxAvg100: 0.13\tMax: 1.10 [ 1.10,  0.99]\t -- t: 020028 sigma: 0.4911 [S]\n",
      "Ep  702\tMaxAvg100: 0.14\tMax: 0.40 [ 0.40,  0.39]\t -- t: 020195 sigma: 0.4903 [S]\n",
      "Ep  703\tMaxAvg100: 0.14\tMax: 0.50 [ 0.50,  0.39]\t -- t: 020382 sigma: 0.4894 [S]\n",
      "Ep  704\tMaxAvg100: 0.14\tMax: 0.50 [ 0.50,  0.39]\t -- t: 020567 sigma: 0.4885 [S]\n",
      "Ep  705\tMaxAvg100: 0.14\tMax: 0.10 [-0.01,  0.10]\t -- t: 020633 sigma: 0.4881 [S]\n",
      "Ep  706\tMaxAvg100: 0.14\tMax: 0.40 [ 0.39,  0.40]\t -- t: 020799 sigma: 0.4873 [S]\n",
      "Ep  707\tMaxAvg100: 0.15\tMax: 0.10 [ 0.09,  0.10]\t -- t: 020851 sigma: 0.4871 [S]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Ep  708\tMaxAvg100: 0.15\tMax: 0.50 [ 0.49,  0.50]\t -- t: 021056 sigma: 0.4861 [S]\n",
      "Ep  709\tMaxAvg100: 0.15\tMax: 0.20 [ 0.20,  0.09]\t -- t: 021127 sigma: 0.4857 [S]\n",
      "Ep  710\tMaxAvg100: 0.15\tMax: 0.10 [ 0.10,  0.09]\t -- t: 021178 sigma: 0.4855 [S]\n",
      "Ep  711\tMaxAvg100: 0.15\tMax: 0.09 [ 0.00,  0.09]\t -- t: 021209 sigma: 0.4853 \n",
      "Ep  712\tMaxAvg100: 0.15\tMax: 0.80 [ 0.80,  0.79]\t -- t: 021529 sigma: 0.4838 [S]\n",
      "Ep  713\tMaxAvg100: 0.15\tMax: 0.30 [ 0.19,  0.30]\t -- t: 021638 sigma: 0.4833 [S]\n",
      "Ep  714\tMaxAvg100: 0.15\tMax: 0.20 [ 0.20,  0.19]\t -- t: 021727 sigma: 0.4828 [S]\n",
      "Ep  715\tMaxAvg100: 0.15\tMax: 0.50 [ 0.50,  0.49]\t -- t: 021931 sigma: 0.4818 [S]\n",
      "Ep  716\tMaxAvg100: 0.16\tMax: 0.80 [ 0.80,  0.79]\t -- t: 022249 sigma: 0.4803 [S]\n",
      "Ep  717\tMaxAvg100: 0.16\tMax: 0.90 [ 0.90,  0.89]\t -- t: 022592 sigma: 0.4787 [S]\n",
      "Ep  718\tMaxAvg100: 0.16\tMax: 0.00 [ 0.00, -0.01]\t -- t: 022606 sigma: 0.4786 [S]\n",
      "Ep  719\tMaxAvg100: 0.16\tMax: 1.90 [ 1.89,  1.90]\t -- t: 023342 sigma: 0.4751 \n",
      "Ep  720\tMaxAvg100: 0.17\tMax: 0.30 [ 0.29,  0.30]\t -- t: 023469 sigma: 0.4745 [S]\n",
      "Ep  721\tMaxAvg100: 0.17\tMax: 1.10 [ 1.09,  1.10]\t -- t: 023901 sigma: 0.4724 [S]\n",
      "Ep  722\tMaxAvg100: 0.18\tMax: 0.20 [ 0.09,  0.20]\t -- t: 023977 sigma: 0.4721 [S]\n",
      "Ep  723\tMaxAvg100: 0.18\tMax: 0.20 [ 0.20,  0.09]\t -- t: 024049 sigma: 0.4717 \n",
      "Ep  724\tMaxAvg100: 0.18\tMax: 0.40 [ 0.40,  0.29]\t -- t: 024191 sigma: 0.4711 \n",
      "Ep  725\tMaxAvg100: 0.18\tMax: 0.30 [ 0.30,  0.29]\t -- t: 024319 sigma: 0.4705 [S]\n",
      "Ep  726\tMaxAvg100: 0.18\tMax: 0.70 [ 0.69,  0.70]\t -- t: 024601 sigma: 0.4691 [S]\n",
      "Ep  727\tMaxAvg100: 0.18\tMax: 1.90 [ 1.90,  1.79]\t -- t: 025316 sigma: 0.4658 [S]\n",
      "Ep  728\tMaxAvg100: 0.19\tMax: 1.00 [ 0.89,  1.00]\t -- t: 025691 sigma: 0.4641 [S]\n",
      "Ep  729\tMaxAvg100: 0.20\tMax: 0.10 [ 0.09,  0.10]\t -- t: 025742 sigma: 0.4638 [S]\n",
      "Ep  730\tMaxAvg100: 0.20\tMax: 0.10 [ 0.10, -0.01]\t -- t: 025775 sigma: 0.4637 [S]\n",
      "Ep  731\tMaxAvg100: 0.20\tMax: 2.00 [ 2.00,  1.99]\t -- t: 026549 sigma: 0.4601 [S]\n",
      "Ep  732\tMaxAvg100: 0.21\tMax: 0.10 [ 0.10, -0.01]\t -- t: 026572 sigma: 0.4600 [S]\n",
      "Ep  733\tMaxAvg100: 0.21\tMax: 0.00 [-0.01,  0.00]\t -- t: 026585 sigma: 0.4599 [S]\n",
      "Ep  734\tMaxAvg100: 0.21\tMax: 2.20 [ 2.09,  2.20]\t -- t: 027429 sigma: 0.4561 \n",
      "Ep  735\tMaxAvg100: 0.22\tMax: 0.00 [ 0.00, -0.01]\t -- t: 027443 sigma: 0.4560 [S]\n",
      "Ep  736\tMaxAvg100: 0.22\tMax: 1.00 [ 0.99,  1.00]\t -- t: 027837 sigma: 0.4542 [S]\n",
      "Ep  737\tMaxAvg100: 0.23\tMax: 0.20 [ 0.20,  0.19]\t -- t: 027927 sigma: 0.4538 [S]\n",
      "Ep  738\tMaxAvg100: 0.23\tMax: 0.10 [ 0.10,  0.09]\t -- t: 027994 sigma: 0.4535 [S]\n",
      "Ep  739\tMaxAvg100: 0.23\tMax: 0.80 [ 0.69,  0.80]\t -- t: 028293 sigma: 0.4521 [S]\n",
      "Ep  740\tMaxAvg100: 0.23\tMax: 0.70 [ 0.70,  0.69]\t -- t: 028573 sigma: 0.4509 [S]\n",
      "Ep  741\tMaxAvg100: 0.24\tMax: 0.40 [ 0.29,  0.40]\t -- t: 028720 sigma: 0.4502 [S]\n",
      "Ep  742\tMaxAvg100: 0.24\tMax: 2.60 [ 2.60,  2.49]\t -- t: 029720 sigma: 0.4457 [S]\n",
      "Ep  743\tMaxAvg100: 0.25\tMax: 0.60 [ 0.60,  0.49]\t -- t: 029943 sigma: 0.4447 [S]\n",
      "Ep  744\tMaxAvg100: 0.25\tMax: 1.20 [ 1.09,  1.20]\t -- t: 030393 sigma: 0.4427 [S]\n",
      "Ep  745\tMaxAvg100: 0.26\tMax: 0.60 [ 0.49,  0.60]\t -- t: 030615 sigma: 0.4418 [S]\n",
      "Ep  746\tMaxAvg100: 0.26\tMax: 0.50 [ 0.49,  0.50]\t -- t: 030819 sigma: 0.4409 [S]\n",
      "Ep  747\tMaxAvg100: 0.27\tMax: 0.70 [ 0.70,  0.69]\t -- t: 031110 sigma: 0.4396 [S]\n",
      "Ep  748\tMaxAvg100: 0.27\tMax: 0.20 [ 0.19,  0.20]\t -- t: 031200 sigma: 0.4392 [S]\n",
      "Ep  749\tMaxAvg100: 0.27\tMax: 0.60 [ 0.59,  0.60]\t -- t: 031441 sigma: 0.4381 [S]\n",
      "Ep  750\tMaxAvg100: 0.27\tMax: 2.60 [ 2.50,  2.60]\t -- t: 032442 sigma: 0.4338 [S]\n",
      "Ep  751\tMaxAvg100: 0.29\tMax: 2.00 [ 2.00,  1.89]\t -- t: 033180 sigma: 0.4306 [S]\n",
      "Ep  752\tMaxAvg100: 0.30\tMax: 0.20 [ 0.19,  0.20]\t -- t: 033286 sigma: 0.4301 [S]\n",
      "Ep  753\tMaxAvg100: 0.30\tMax: 1.90 [ 1.79,  1.90]\t -- t: 034004 sigma: 0.4270 [S]\n",
      "Ep  754\tMaxAvg100: 0.31\tMax: 0.10 [ 0.10, -0.01]\t -- t: 034037 sigma: 0.4269 [S]\n",
      "Ep  755\tMaxAvg100: 0.31\tMax: 1.00 [ 0.99,  1.00]\t -- t: 034442 sigma: 0.4252 [S]\n",
      "Ep  756\tMaxAvg100: 0.31\tMax: 0.30 [ 0.19,  0.30]\t -- t: 034552 sigma: 0.4247 [S]\n",
      "Ep  757\tMaxAvg100: 0.32\tMax: 0.40 [ 0.40,  0.39]\t -- t: 034717 sigma: 0.4240 [S]\n",
      "Ep  758\tMaxAvg100: 0.32\tMax: 0.30 [ 0.30,  0.29]\t -- t: 034858 sigma: 0.4234 [S]\n",
      "Ep  759\tMaxAvg100: 0.32\tMax: 1.40 [ 1.40,  1.39]\t -- t: 035399 sigma: 0.4211 [S]\n",
      "Ep  760\tMaxAvg100: 0.33\tMax: 0.10 [-0.01,  0.10]\t -- t: 035429 sigma: 0.4210 [S]\n",
      "Ep  761\tMaxAvg100: 0.33\tMax: 0.40 [ 0.40,  0.29]\t -- t: 035594 sigma: 0.4203 [S]\n",
      "Ep  762\tMaxAvg100: 0.33\tMax: 1.90 [ 1.90,  1.79]\t -- t: 036312 sigma: 0.4173 [S]\n",
      "Ep  763\tMaxAvg100: 0.34\tMax: 0.10 [ 0.10, -0.01]\t -- t: 036362 sigma: 0.4171 [S]\n",
      "Ep  764\tMaxAvg100: 0.34\tMax: 1.30 [ 1.29,  1.30]\t -- t: 036868 sigma: 0.4150 [S]\n",
      "Ep  765\tMaxAvg100: 0.35\tMax: 2.30 [ 2.29,  2.30]\t -- t: 037754 sigma: 0.4113 [S]\n",
      "Ep  766\tMaxAvg100: 0.36\tMax: 0.80 [ 0.80,  0.79]\t -- t: 038072 sigma: 0.4100 [S]\n",
      "Ep  767\tMaxAvg100: 0.36\tMax: 0.10 [ 0.10, -0.01]\t -- t: 038116 sigma: 0.4098 [S]\n",
      "Ep  768\tMaxAvg100: 0.37\tMax: 0.80 [ 0.69,  0.80]\t -- t: 038415 sigma: 0.4086 [S]\n",
      "Ep  769\tMaxAvg100: 0.37\tMax: 1.60 [ 1.60,  1.59]\t -- t: 039036 sigma: 0.4061 [S]\n",
      "Ep  770\tMaxAvg100: 0.38\tMax: 0.29 [ 0.29,  0.20]\t -- t: 039143 sigma: 0.4057 [S]\n",
      "Ep  771\tMaxAvg100: 0.38\tMax: 0.30 [ 0.30,  0.19]\t -- t: 039251 sigma: 0.4052 [S]\n",
      "Ep  772\tMaxAvg100: 0.38\tMax: 1.10 [ 1.10,  1.09]\t -- t: 039681 sigma: 0.4035 [S]\n",
      "Ep  773\tMaxAvg100: 0.39\tMax: 0.40 [ 0.40,  0.29]\t -- t: 039827 sigma: 0.4029 [S]\n",
      "Ep  774\tMaxAvg100: 0.39\tMax: 2.60 [ 2.60,  2.60]\t -- t: 040828 sigma: 0.3989 [S]\n",
      "Ep  775\tMaxAvg100: 0.40\tMax: 0.29 [ 0.20,  0.29]\t -- t: 040918 sigma: 0.3985 [S]\n",
      "Ep  776\tMaxAvg100: 0.41\tMax: 1.10 [ 1.10,  1.09]\t -- t: 041363 sigma: 0.3967 [S]\n",
      "Ep  777\tMaxAvg100: 0.41\tMax: 1.20 [ 1.19,  1.20]\t -- t: 041834 sigma: 0.3949 [S]\n",
      "Ep  778\tMaxAvg100: 0.42\tMax: 0.10 [ 0.09,  0.10]\t -- t: 041885 sigma: 0.3947 [S]\n",
      "Ep  779\tMaxAvg100: 0.42\tMax: 0.80 [ 0.80,  0.69]\t -- t: 042184 sigma: 0.3935 [S]\n",
      "Ep  780\tMaxAvg100: 0.43\tMax: 1.10 [ 1.09,  1.10]\t -- t: 042615 sigma: 0.3918 [S]\n",
      "Ep  781\tMaxAvg100: 0.43\tMax: 0.50 [ 0.49,  0.50]\t -- t: 042819 sigma: 0.3910 [S]\n",
      "Ep  782\tMaxAvg100: 0.44\tMax: 0.20 [ 0.20,  0.19]\t -- t: 042909 sigma: 0.3907 [S]\n",
      "Ep  783\tMaxAvg100: 0.44\tMax: 0.30 [ 0.19,  0.30]\t -- t: 043011 sigma: 0.3903 [S]\n",
      "Ep  784\tMaxAvg100: 0.44\tMax: 0.60 [ 0.49,  0.60]\t -- t: 043234 sigma: 0.3894 [S]\n",
      "Ep  785\tMaxAvg100: 0.44\tMax: 0.30 [ 0.30,  0.29]\t -- t: 043362 sigma: 0.3889 [S]\n",
      "Ep  786\tMaxAvg100: 0.45\tMax: 0.10 [ 0.09,  0.10]\t -- t: 043414 sigma: 0.3887 [S]\n",
      "Ep  787\tMaxAvg100: 0.45\tMax: 0.30 [ 0.30,  0.19]\t -- t: 043520 sigma: 0.3883 [S]\n",
      "Ep  788\tMaxAvg100: 0.45\tMax: 0.20 [ 0.20,  0.19]\t -- t: 043608 sigma: 0.3879 [S]\n",
      "Ep  789\tMaxAvg100: 0.45\tMax: 0.20 [ 0.20,  0.19]\t -- t: 043697 sigma: 0.3876 [S]\n",
      "Ep  790\tMaxAvg100: 0.45\tMax: 0.10 [ 0.10,  0.09]\t -- t: 043748 sigma: 0.3874 [S]\n",
      "Ep  791\tMaxAvg100: 0.45\tMax: 0.70 [ 0.70,  0.69]\t -- t: 044027 sigma: 0.3863 [S]\n",
      "Ep  792\tMaxAvg100: 0.46\tMax: 0.40 [ 0.39,  0.40]\t -- t: 044192 sigma: 0.3857 [S]\n",
      "Ep  793\tMaxAvg100: 0.46\tMax: 0.80 [ 0.79,  0.80]\t -- t: 044509 sigma: 0.3845 [S]\n",
      "Ep  794\tMaxAvg100: 0.47\tMax: 2.10 [ 2.10,  2.09]\t -- t: 045321 sigma: 0.3813 [S]\n",
      "Ep  795\tMaxAvg100: 0.48\tMax: 1.80 [ 1.80,  1.79]\t -- t: 046019 sigma: 0.3787 [S]\n",
      "Ep  796\tMaxAvg100: 0.48\tMax: 1.00 [ 0.99,  1.00]\t -- t: 046411 sigma: 0.3772 [S]\n",
      "Ep  797\tMaxAvg100: 0.49\tMax: 2.20 [ 2.20,  2.09]\t -- t: 047244 sigma: 0.3741 [S]\n",
      "Ep  798\tMaxAvg100: 0.50\tMax: 0.40 [ 0.29,  0.40]\t -- t: 047386 sigma: 0.3736 [S]\n",
      "Ep  799\tMaxAvg100: 0.50\tMax: 2.60 [ 2.60,  2.59]\t -- t: 048387 sigma: 0.3698 [S]\n",
      "Ep  800\tMaxAvg100: 0.52\tMax: 0.20 [ 0.20,  0.09]\t -- t: 048451 sigma: 0.3696 [S]\n",
      "Ep  801\tMaxAvg100: 0.52\tMax: 0.99 [ 0.90,  0.99]\t -- t: 048821 sigma: 0.3682 [S]\n",
      "Ep  802\tMaxAvg100: 0.52\tMax: 1.00 [ 0.89,  1.00]\t -- t: 049195 sigma: 0.3669 [S]\n",
      "Ep  803\tMaxAvg100: 0.52\tMax: 0.30 [ 0.30,  0.19]\t -- t: 049299 sigma: 0.3665 [S]\n",
      "Ep  804\tMaxAvg100: 0.53\tMax: 0.10 [ 0.10, -0.01]\t -- t: 049330 sigma: 0.3664 [S]\n",
      "Ep  805\tMaxAvg100: 0.52\tMax: 0.19 [ 0.10,  0.19]\t -- t: 049396 sigma: 0.3661 \n",
      "Ep  806\tMaxAvg100: 0.53\tMax: 0.60 [ 0.60,  0.59]\t -- t: 049655 sigma: 0.3652 [S]\n",
      "Ep  807\tMaxAvg100: 0.53\tMax: 0.70 [ 0.69,  0.70]\t -- t: 049934 sigma: 0.3642 [S]\n",
      "Ep  808\tMaxAvg100: 0.54\tMax: 0.10 [ 0.09,  0.10]\t -- t: 049986 sigma: 0.3640 [S]\n",
      "Ep  809\tMaxAvg100: 0.54\tMax: 0.10 [ 0.10,  0.09]\t -- t: 050038 sigma: 0.3638 \n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Ep  810\tMaxAvg100: 0.54\tMax: 0.50 [ 0.39,  0.50]\t -- t: 050223 sigma: 0.3631 [S]\n",
      "Ep  811\tMaxAvg100: 0.54\tMax: 0.80 [ 0.80,  0.79]\t -- t: 050558 sigma: 0.3619 [S]\n",
      "Ep  812\tMaxAvg100: 0.55\tMax: 0.99 [ 0.90,  0.99]\t -- t: 050927 sigma: 0.3606 [S]\n",
      "Ep  813\tMaxAvg100: 0.55\tMax: 0.30 [ 0.29,  0.30]\t -- t: 051069 sigma: 0.3600 [S]\n",
      "Ep  814\tMaxAvg100: 0.55\tMax: 0.50 [ 0.39,  0.50]\t -- t: 051253 sigma: 0.3594 [S]\n",
      "Ep  815\tMaxAvg100: 0.55\tMax: 0.50 [ 0.39,  0.50]\t -- t: 051438 sigma: 0.3587 [S]\n",
      "Ep  816\tMaxAvg100: 0.56\tMax: 2.60 [ 2.60,  2.60]\t -- t: 052439 sigma: 0.3551 [S]\n",
      "Ep  817\tMaxAvg100: 0.57\tMax: 0.70 [ 0.69,  0.70]\t -- t: 052717 sigma: 0.3542 [S]\n",
      "Ep  818\tMaxAvg100: 0.57\tMax: 2.00 [ 1.89,  2.00]\t -- t: 053481 sigma: 0.3515 [S]\n",
      "Ep  819\tMaxAvg100: 0.58\tMax: 0.50 [ 0.50,  0.39]\t -- t: 053661 sigma: 0.3508 [S]\n",
      "Ep  820\tMaxAvg100: 0.58\tMax: 1.60 [ 1.60,  1.59]\t -- t: 054277 sigma: 0.3487 \n",
      "Ep  821\tMaxAvg100: 0.58\tMax: 0.10 [ 0.10,  0.09]\t -- t: 054329 sigma: 0.3485 [S]\n",
      "Ep  822\tMaxAvg100: 0.58\tMax: 0.10 [ 0.09,  0.10]\t -- t: 054381 sigma: 0.3483 \n",
      "Ep  823\tMaxAvg100: 0.58\tMax: 0.20 [ 0.09,  0.20]\t -- t: 054447 sigma: 0.3481 \n",
      "Ep  824\tMaxAvg100: 0.58\tMax: 1.30 [ 1.19,  1.30]\t -- t: 054935 sigma: 0.3464 [S]\n",
      "Ep  825\tMaxAvg100: 0.59\tMax: 0.40 [ 0.40,  0.39]\t -- t: 055101 sigma: 0.3458 [S]\n",
      "Ep  826\tMaxAvg100: 0.59\tMax: 1.70 [ 1.70,  1.59]\t -- t: 055765 sigma: 0.3435 [S]\n",
      "Ep  827\tMaxAvg100: 0.60\tMax: 1.00 [ 1.00,  0.89]\t -- t: 056134 sigma: 0.3423 [S]\n",
      "Ep  828\tMaxAvg100: 0.60\tMax: 0.39 [ 0.30,  0.39]\t -- t: 056276 sigma: 0.3418 \n",
      "Ep  829\tMaxAvg100: 0.60\tMax: 1.50 [ 1.39,  1.50]\t -- t: 056840 sigma: 0.3399 \n",
      "Ep  830\tMaxAvg100: 0.61\tMax: 2.60 [ 2.60,  2.60]\t -- t: 057841 sigma: 0.3365 [S]\n",
      "Ep  831\tMaxAvg100: 0.62\tMax: 0.40 [ 0.40,  0.39]\t -- t: 057993 sigma: 0.3360 [S]\n",
      "Ep  832\tMaxAvg100: 0.61\tMax: 0.00 [ 0.00, -0.01]\t -- t: 058007 sigma: 0.3359 \n",
      "Ep  833\tMaxAvg100: 0.62\tMax: 0.10 [ 0.10, -0.01]\t -- t: 058038 sigma: 0.3358 \n",
      "Ep  834\tMaxAvg100: 0.62\tMax: 0.50 [ 0.50,  0.49]\t -- t: 058242 sigma: 0.3351 \n",
      "Ep  835\tMaxAvg100: 0.61\tMax: 2.60 [ 2.60,  2.60]\t -- t: 059243 sigma: 0.3318 \n",
      "Ep  836\tMaxAvg100: 0.63\tMax: 0.30 [ 0.29,  0.30]\t -- t: 059374 sigma: 0.3314 [S]\n",
      "Ep  837\tMaxAvg100: 0.63\tMax: 1.10 [ 1.10,  0.99]\t -- t: 059806 sigma: 0.3299 \n",
      "Ep  838\tMaxAvg100: 0.63\tMax: 2.20 [ 2.19,  2.20]\t -- t: 060657 sigma: 0.3271 [S]\n",
      "Ep  839\tMaxAvg100: 0.65\tMax: 1.20 [ 1.09,  1.20]\t -- t: 061108 sigma: 0.3257 [S]\n",
      "Ep  840\tMaxAvg100: 0.65\tMax: 2.60 [ 2.60,  2.60]\t -- t: 062109 sigma: 0.3224 [S]\n",
      "Ep  841\tMaxAvg100: 0.66\tMax: 1.10 [ 1.09,  1.10]\t -- t: 062529 sigma: 0.3211 [S]\n",
      "Ep  842\tMaxAvg100: 0.67\tMax: 0.70 [ 0.59,  0.70]\t -- t: 062790 sigma: 0.3202 [S]\n",
      "Ep  843\tMaxAvg100: 0.66\tMax: 2.60 [ 2.60,  2.60]\t -- t: 063791 sigma: 0.3170 \n",
      "Ep  844\tMaxAvg100: 0.67\tMax: 0.60 [ 0.59,  0.60]\t -- t: 064021 sigma: 0.3163 [S]\n",
      "Ep  845\tMaxAvg100: 0.67\tMax: 2.60 [ 2.60,  2.60]\t -- t: 065022 sigma: 0.3132 \n",
      "Ep  846\tMaxAvg100: 0.68\tMax: 2.70 [ 2.70,  2.60]\t -- t: 066023 sigma: 0.3100 [S]\n",
      "Ep  847\tMaxAvg100: 0.70\tMax: 2.70 [ 2.60,  2.70]\t -- t: 067024 sigma: 0.3070 [S]\n",
      "Ep  848\tMaxAvg100: 0.71\tMax: 1.20 [ 1.19,  1.20]\t -- t: 067491 sigma: 0.3055 [S]\n",
      "Ep  849\tMaxAvg100: 0.71\tMax: 0.60 [ 0.60,  0.58]\t -- t: 067732 sigma: 0.3048 [S]\n",
      "Ep  850\tMaxAvg100: 0.72\tMax: 2.60 [ 2.60,  2.60]\t -- t: 068733 sigma: 0.3017 [S]\n",
      "Ep  851\tMaxAvg100: 0.72\tMax: 2.70 [ 2.60,  2.70]\t -- t: 069734 sigma: 0.2987 [S]\n",
      "Ep  852\tMaxAvg100: 0.72\tMax: 0.50 [ 0.50,  0.39]\t -- t: 069914 sigma: 0.2982 [S]\n",
      "Ep  853\tMaxAvg100: 0.73\tMax: 0.10 [ 0.10,  0.09]\t -- t: 069965 sigma: 0.2981 [S]\n",
      "Ep  854\tMaxAvg100: 0.72\tMax: 1.00 [ 1.00,  0.89]\t -- t: 070332 sigma: 0.2970 \n",
      "Ep  855\tMaxAvg100: 0.73\tMax: 2.60 [ 2.60,  2.60]\t -- t: 071333 sigma: 0.2940 \n",
      "Ep  856\tMaxAvg100: 0.74\tMax: 2.59 [ 2.59,  2.50]\t -- t: 072310 sigma: 0.2911 [S]\n",
      "Ep  857\tMaxAvg100: 0.75\tMax: 0.50 [ 0.50,  0.39]\t -- t: 072492 sigma: 0.2906 [S]\n",
      "Ep  858\tMaxAvg100: 0.75\tMax: 2.40 [ 2.29,  2.40]\t -- t: 073398 sigma: 0.2880 [S]\n",
      "Ep  859\tMaxAvg100: 0.77\tMax: 0.40 [ 0.40,  0.29]\t -- t: 073541 sigma: 0.2876 [S]\n",
      "Ep  860\tMaxAvg100: 0.76\tMax: 0.10 [ 0.10,  0.09]\t -- t: 073593 sigma: 0.2874 \n",
      "Ep  861\tMaxAvg100: 0.77\tMax: 2.60 [ 2.60,  2.60]\t -- t: 074594 sigma: 0.2846 \n",
      "Ep  862\tMaxAvg100: 0.78\tMax: 0.40 [ 0.29,  0.40]\t -- t: 074726 sigma: 0.2842 [S]\n",
      "Ep  863\tMaxAvg100: 0.77\tMax: 2.60 [ 2.60,  2.60]\t -- t: 075727 sigma: 0.2814 \n",
      "Ep  864\tMaxAvg100: 0.79\tMax: 0.70 [ 0.59,  0.70]\t -- t: 075976 sigma: 0.2807 [S]\n",
      "Ep  865\tMaxAvg100: 0.79\tMax: 0.30 [ 0.30,  0.09]\t -- t: 076063 sigma: 0.2804 \n",
      "Ep  866\tMaxAvg100: 0.78\tMax: 1.00 [ 1.00,  0.99]\t -- t: 076457 sigma: 0.2793 \n",
      "Ep  867\tMaxAvg100: 0.78\tMax: 2.60 [ 2.60,  2.60]\t -- t: 077458 sigma: 0.2765 \n",
      "Ep  868\tMaxAvg100: 0.80\tMax: 2.70 [ 2.70,  2.60]\t -- t: 078459 sigma: 0.2738 [S]\n",
      "Ep  869\tMaxAvg100: 0.81\tMax: 1.50 [ 1.50,  1.49]\t -- t: 079036 sigma: 0.2722 [S]\n",
      "Ep  870\tMaxAvg100: 0.81\tMax: 0.10 [ 0.10, -0.01]\t -- t: 079069 sigma: 0.2721 [S]\n",
      "Ep  871\tMaxAvg100: 0.81\tMax: 2.60 [ 2.60,  2.60]\t -- t: 080070 sigma: 0.2694 [S]\n",
      "Ep  872\tMaxAvg100: 0.83\tMax: 2.70 [ 2.60,  2.70]\t -- t: 081071 sigma: 0.2667 [S]\n",
      "Ep  873\tMaxAvg100: 0.84\tMax: 2.60 [ 2.60,  2.60]\t -- t: 082072 sigma: 0.2641 [S]\n",
      "Ep  874\tMaxAvg100: 0.85\tMax: 0.50 [ 0.49,  0.50]\t -- t: 082259 sigma: 0.2636 [S]\n",
      "Ep  875\tMaxAvg100: 0.84\tMax: 2.60 [ 2.60,  2.60]\t -- t: 083260 sigma: 0.2609 \n",
      "Ep  876\tMaxAvg100: 0.86\tMax: 2.70 [ 2.60,  2.70]\t -- t: 084261 sigma: 0.2584 [S]\n",
      "Ep  877\tMaxAvg100: 0.87\tMax: 2.60 [ 2.60,  2.60]\t -- t: 085262 sigma: 0.2558 [S]\n",
      "Ep  878\tMaxAvg100: 0.88\tMax: 2.70 [ 2.70,  2.60]\t -- t: 086263 sigma: 0.2532 [S]\n",
      "Ep  879\tMaxAvg100: 0.89\tMax: 2.70 [ 2.60,  2.70]\t -- t: 087264 sigma: 0.2507 [S]\n",
      "Ep  880\tMaxAvg100: 0.90\tMax: 2.60 [ 2.60,  2.60]\t -- t: 088265 sigma: 0.2482 [S]\n",
      "Ep  881\tMaxAvg100: 0.91\tMax: 1.10 [ 1.10,  0.99]\t -- t: 088665 sigma: 0.2472 [S]\n",
      "Ep  882\tMaxAvg100: 0.92\tMax: 2.60 [ 2.60,  2.60]\t -- t: 089666 sigma: 0.2448 [S]\n",
      "Ep  883\tMaxAvg100: 0.93\tMax: 1.90 [ 1.89,  1.90]\t -- t: 090389 sigma: 0.2430 [S]\n",
      "Ep  884\tMaxAvg100: 0.94\tMax: 2.60 [ 2.60,  2.50]\t -- t: 091390 sigma: 0.2406 [S]\n",
      "Ep  885\tMaxAvg100: 0.95\tMax: 2.70 [ 2.60,  2.70]\t -- t: 092391 sigma: 0.2382 [S]\n",
      "Ep  886\tMaxAvg100: 0.97\tMax: 2.70 [ 2.70,  2.60]\t -- t: 093392 sigma: 0.2358 [S]\n",
      "Ep  887\tMaxAvg100: 0.99\tMax: 0.50 [ 0.50,  0.49]\t -- t: 093595 sigma: 0.2353 [S]\n",
      "Ep  888\tMaxAvg100: 0.99\tMax: 2.60 [ 2.60,  2.60]\t -- t: 094596 sigma: 0.2330 [S]\n",
      "Ep  889\tMaxAvg100: 1.00\tMax: 2.70 [ 2.60,  2.70]\t -- t: 095597 sigma: 0.2307 [S]\n",
      "Ep  890\tMaxAvg100: 1.02\tMax: 1.00 [ 0.99,  1.00]\t -- t: 095988 sigma: 0.2298 [S]\n",
      "Ep  891\tMaxAvg100: 1.03\tMax: 2.60 [ 2.60,  2.60]\t -- t: 096989 sigma: 0.2275 [S]\n",
      "Ep  892\tMaxAvg100: 1.04\tMax: 2.70 [ 2.60,  2.70]\t -- t: 097990 sigma: 0.2252 [S]\n",
      "Ep  893\tMaxAvg100: 1.05\tMax: 0.60 [ 0.59,  0.60]\t -- t: 098225 sigma: 0.2247 [S]\n",
      "Ep  894\tMaxAvg100: 1.05\tMax: 1.70 [ 1.59,  1.70]\t -- t: 098868 sigma: 0.2232 [S]\n",
      "Ep  895\tMaxAvg100: 1.06\tMax: 2.60 [ 2.60,  2.60]\t -- t: 099869 sigma: 0.2210 [S]\n",
      "Ep  896\tMaxAvg100: 1.06\tMax: 2.70 [ 2.60,  2.70]\t -- t: 100870 sigma: 0.2188 [S]\n",
      "Ep  897\tMaxAvg100: 1.07\tMax: 2.60 [ 2.60,  2.60]\t -- t: 101871 sigma: 0.2166 [S]\n",
      "Ep  898\tMaxAvg100: 1.08\tMax: 2.70 [ 2.70,  2.60]\t -- t: 102872 sigma: 0.2145 [S]\n",
      "Ep  899\tMaxAvg100: 1.09\tMax: 2.60 [ 2.60,  2.60]\t -- t: 103873 sigma: 0.2123 [S]\n",
      "Ep  900\tMaxAvg100: 1.10\tMax: 1.89 [ 1.80,  1.89]\t -- t: 104570 sigma: 0.2109 [S]\n",
      "Ep  901\tMaxAvg100: 1.11\tMax: 2.60 [ 2.60,  2.60]\t -- t: 105571 sigma: 0.2088 [S]\n",
      "Ep  902\tMaxAvg100: 1.12\tMax: 2.70 [ 2.60,  2.70]\t -- t: 106572 sigma: 0.2067 [S]\n",
      "Ep  903\tMaxAvg100: 1.13\tMax: 2.60 [ 2.60,  2.60]\t -- t: 107573 sigma: 0.2046 [S]\n",
      "Ep  904\tMaxAvg100: 1.14\tMax: 2.70 [ 2.70,  2.60]\t -- t: 108574 sigma: 0.2026 [S]\n",
      "Ep  905\tMaxAvg100: 1.16\tMax: 2.60 [ 2.60,  2.60]\t -- t: 109575 sigma: 0.2006 [S]\n",
      "Ep  906\tMaxAvg100: 1.18\tMax: 2.60 [ 2.60,  2.60]\t -- t: 110576 sigma: 0.1986 [S]\n",
      "Ep  907\tMaxAvg100: 1.19\tMax: 2.70 [ 2.60,  2.70]\t -- t: 111577 sigma: 0.1966 [S]\n",
      "Ep  908\tMaxAvg100: 1.20\tMax: 2.60 [ 2.60,  2.60]\t -- t: 112578 sigma: 0.1946 [S]\n",
      "Ep  909\tMaxAvg100: 1.22\tMax: 2.70 [ 2.70,  2.60]\t -- t: 113579 sigma: 0.1927 [S]\n",
      "Ep  910\tMaxAvg100: 1.23\tMax: 1.50 [ 1.50,  1.49]\t -- t: 114157 sigma: 0.1916 [S]\n",
      "Ep  911\tMaxAvg100: 1.24\tMax: 1.00 [ 1.00,  0.89]\t -- t: 114532 sigma: 0.1909 [S]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Ep  912\tMaxAvg100: 1.25\tMax: 2.60 [ 2.60,  2.60]\t -- t: 115533 sigma: 0.1890 [S]\n",
      "Ep  913\tMaxAvg100: 1.26\tMax: 0.00 [-0.01,  0.00]\t -- t: 115536 sigma: 0.1890 [S]\n",
      "Ep  914\tMaxAvg100: 1.26\tMax: 0.09 [ 0.00,  0.09]\t -- t: 115566 sigma: 0.1889 [S]\n",
      "Ep  915\tMaxAvg100: 1.26\tMax: 0.10 [-0.01,  0.10]\t -- t: 115597 sigma: 0.1889 [S]\n",
      "Ep  916\tMaxAvg100: 1.26\tMax: 2.60 [ 2.60,  2.60]\t -- t: 116598 sigma: 0.1870 [S]\n",
      "Ep  917\tMaxAvg100: 1.27\tMax: 0.50 [ 0.50,  0.49]\t -- t: 116786 sigma: 0.1866 [S]\n",
      "Ep  918\tMaxAvg100: 1.27\tMax: 2.60 [ 2.60,  2.60]\t -- t: 117787 sigma: 0.1848 [S]\n",
      "Ep  919\tMaxAvg100: 1.28\tMax: 2.70 [ 2.70,  2.60]\t -- t: 118788 sigma: 0.1829 [S]\n",
      "Ep  920\tMaxAvg100: 1.29\tMax: 1.00 [ 0.89,  1.00]\t -- t: 119163 sigma: 0.1822 [S]\n",
      "Ep  921\tMaxAvg100: 1.29\tMax: 2.60 [ 2.60,  2.60]\t -- t: 120164 sigma: 0.1804 [S]\n",
      "Ep  922\tMaxAvg100: 1.31\tMax: 2.70 [ 2.70,  2.60]\t -- t: 121165 sigma: 0.1786 [S]\n",
      "Ep  923\tMaxAvg100: 1.32\tMax: 0.10 [ 0.10, -0.01]\t -- t: 121197 sigma: 0.1786 [S]\n",
      "Ep  924\tMaxAvg100: 1.33\tMax: 0.20 [ 0.20,  0.19]\t -- t: 121283 sigma: 0.1784 [S]\n",
      "Ep  925\tMaxAvg100: 1.33\tMax: 1.40 [ 1.29,  1.40]\t -- t: 121811 sigma: 0.1775 \n",
      "Ep  926\tMaxAvg100: 1.33\tMax: 2.60 [ 2.60,  2.60]\t -- t: 122812 sigma: 0.1757 [S]\n",
      "Ep  927\tMaxAvg100: 1.34\tMax: 2.60 [ 2.60,  2.60]\t -- t: 123813 sigma: 0.1740 [S]\n",
      "Ep  928\tMaxAvg100: 1.35\tMax: 2.70 [ 2.60,  2.70]\t -- t: 124814 sigma: 0.1722 [S]\n",
      "Ep  929\tMaxAvg100: 1.37\tMax: 2.70 [ 2.70,  2.60]\t -- t: 125815 sigma: 0.1705 [S]\n",
      "Ep  930\tMaxAvg100: 1.38\tMax: 0.20 [ 0.20,  0.19]\t -- t: 125900 sigma: 0.1704 [S]\n",
      "Ep  931\tMaxAvg100: 1.37\tMax: 0.20 [ 0.20,  0.09]\t -- t: 125971 sigma: 0.1702 \n",
      "Ep  932\tMaxAvg100: 1.37\tMax: 0.30 [ 0.19,  0.30]\t -- t: 126079 sigma: 0.1701 \n",
      "Ep  933\tMaxAvg100: 1.38\tMax: 2.60 [ 2.60,  2.60]\t -- t: 127080 sigma: 0.1684 \n",
      "Ep  934\tMaxAvg100: 1.40\tMax: 0.90 [ 0.79,  0.90]\t -- t: 127406 sigma: 0.1678 [S]\n",
      "Ep  935\tMaxAvg100: 1.40\tMax: 0.20 [-0.01,  0.20]\t -- t: 127455 sigma: 0.1677 [S]\n",
      "Ep  936\tMaxAvg100: 1.39\tMax: 0.70 [ 0.59,  0.70]\t -- t: 127715 sigma: 0.1673 \n",
      "Ep  937\tMaxAvg100: 1.40\tMax: 0.90 [ 0.90,  0.89]\t -- t: 128070 sigma: 0.1667 \n",
      "Ep  938\tMaxAvg100: 1.40\tMax: 2.60 [ 2.60,  2.60]\t -- t: 129071 sigma: 0.1650 [S]\n",
      "Ep  939\tMaxAvg100: 1.41\tMax: 2.60 [ 2.60,  2.60]\t -- t: 130072 sigma: 0.1634 [S]\n",
      "Ep  940\tMaxAvg100: 1.42\tMax: 2.60 [ 2.60,  2.60]\t -- t: 131073 sigma: 0.1618 [S]\n",
      "Ep  941\tMaxAvg100: 1.42\tMax: 2.70 [ 2.60,  2.70]\t -- t: 132074 sigma: 0.1602 [S]\n",
      "Ep  942\tMaxAvg100: 1.44\tMax: 2.60 [ 2.60,  2.60]\t -- t: 133075 sigma: 0.1586 [S]\n",
      "Ep  943\tMaxAvg100: 1.45\tMax: 2.70 [ 2.70,  2.60]\t -- t: 134076 sigma: 0.1570 [S]\n",
      "Ep  944\tMaxAvg100: 1.45\tMax: 2.70 [ 2.60,  2.70]\t -- t: 135077 sigma: 0.1554 [S]\n",
      "Ep  945\tMaxAvg100: 1.47\tMax: 2.60 [ 2.60,  2.60]\t -- t: 136078 sigma: 0.1539 [S]\n",
      "Ep  946\tMaxAvg100: 1.47\tMax: 2.70 [ 2.70,  2.60]\t -- t: 137079 sigma: 0.1523 [S]\n",
      "Ep  947\tMaxAvg100: 1.48\tMax: 2.70 [ 2.60,  2.70]\t -- t: 138080 sigma: 0.1508 [S]\n",
      "Ep  948\tMaxAvg100: 1.48\tMax: 2.60 [ 2.60,  2.60]\t -- t: 139081 sigma: 0.1493 [S]\n",
      "Ep  949\tMaxAvg100: 1.49\tMax: 2.70 [ 2.70,  2.60]\t -- t: 140082 sigma: 0.1478 [S]\n",
      "Ep  950\tMaxAvg100: 1.50\tMax: 1.70 [ 1.70,  1.59]\t -- t: 140717 sigma: 0.1469 [S]\n",
      "Ep  951\tMaxAvg100: 1.50\tMax: 2.60 [ 2.60,  2.60]\t -- t: 141718 sigma: 0.1454 \n",
      "Ep  952\tMaxAvg100: 1.51\tMax: 2.70 [ 2.60,  2.70]\t -- t: 142719 sigma: 0.1440 [S]\n",
      "Ep  953\tMaxAvg100: 1.52\tMax: 2.60 [ 2.60,  2.60]\t -- t: 143720 sigma: 0.1426 [S]\n",
      "Ep  954\tMaxAvg100: 1.54\tMax: 1.10 [ 1.10,  0.99]\t -- t: 144112 sigma: 0.1420 [S]\n",
      "Ep  955\tMaxAvg100: 1.54\tMax: 2.60 [ 2.60,  2.60]\t -- t: 145113 sigma: 0.1406 [S]\n",
      "Ep  956\tMaxAvg100: 1.55\tMax: 2.70 [ 2.70,  2.60]\t -- t: 146114 sigma: 0.1392 [S]\n",
      "Ep  957\tMaxAvg100: 1.55\tMax: 1.70 [ 1.59,  1.70]\t -- t: 146759 sigma: 0.1383 [S]\n",
      "Ep  958\tMaxAvg100: 1.56\tMax: 0.80 [ 0.80,  0.79]\t -- t: 147078 sigma: 0.1378 [S]\n",
      "Ep  959\tMaxAvg100: 1.56\tMax: 2.60 [ 2.60,  2.60]\t -- t: 148079 sigma: 0.1365 \n",
      "Ep  960\tMaxAvg100: 1.57\tMax: 0.90 [ 0.90,  0.79]\t -- t: 148426 sigma: 0.1360 [S]\n",
      "Ep  961\tMaxAvg100: 1.58\tMax: 0.70 [ 0.70,  0.69]\t -- t: 148698 sigma: 0.1356 [S]\n",
      "Ep  962\tMaxAvg100: 1.58\tMax: 2.60 [ 2.60,  2.50]\t -- t: 149699 sigma: 0.1343 \n",
      "Ep  963\tMaxAvg100: 1.59\tMax: 2.70 [ 2.60,  2.70]\t -- t: 150700 sigma: 0.1329 [S]\n",
      "Ep  964\tMaxAvg100: 1.59\tMax: 2.70 [ 2.70,  2.60]\t -- t: 151701 sigma: 0.1316 [S]\n",
      "Ep  965\tMaxAvg100: 1.61\tMax: 2.60 [ 2.60,  2.60]\t -- t: 152702 sigma: 0.1303 [S]\n",
      "Ep  966\tMaxAvg100: 1.62\tMax: 0.90 [ 0.79,  0.90]\t -- t: 153020 sigma: 0.1299 [S]\n",
      "Ep  967\tMaxAvg100: 1.63\tMax: 2.60 [ 2.60,  2.60]\t -- t: 154021 sigma: 0.1286 [S]\n",
      "Ep  968\tMaxAvg100: 1.63\tMax: 0.80 [ 0.69,  0.80]\t -- t: 154319 sigma: 0.1282 [S]\n",
      "Ep  969\tMaxAvg100: 1.63\tMax: 1.90 [ 1.79,  1.90]\t -- t: 155037 sigma: 0.1273 \n",
      "Ep  970\tMaxAvg100: 1.63\tMax: 2.60 [ 2.60,  2.60]\t -- t: 156038 sigma: 0.1260 [S]\n",
      "Ep  971\tMaxAvg100: 1.65\tMax: 1.80 [ 1.69,  1.80]\t -- t: 156703 sigma: 0.1252 [S]\n",
      "Ep  972\tMaxAvg100: 1.65\tMax: 2.60 [ 2.60,  2.60]\t -- t: 157704 sigma: 0.1240 [S]\n",
      "Ep  973\tMaxAvg100: 1.65\tMax: 2.70 [ 2.70,  2.60]\t -- t: 158705 sigma: 0.1227 [S]\n",
      "Ep  974\tMaxAvg100: 1.66\tMax: 2.60 [ 2.60,  2.60]\t -- t: 159706 sigma: 0.1215 [S]\n",
      "Ep  975\tMaxAvg100: 1.67\tMax: 2.70 [ 2.60,  2.70]\t -- t: 160707 sigma: 0.1203 [S]\n",
      "Ep  976\tMaxAvg100: 1.68\tMax: 0.70 [ 0.70,  0.59]\t -- t: 160951 sigma: 0.1200 [S]\n",
      "Ep  977\tMaxAvg100: 1.67\tMax: 2.60 [ 2.60,  2.60]\t -- t: 161952 sigma: 0.1188 \n",
      "Ep  978\tMaxAvg100: 1.68\tMax: 2.10 [ 2.10,  2.09]\t -- t: 162750 sigma: 0.1179 \n",
      "Ep  979\tMaxAvg100: 1.68\tMax: 2.60 [ 2.60,  2.60]\t -- t: 163751 sigma: 0.1167 \n",
      "Ep  980\tMaxAvg100: 1.68\tMax: 0.09 [ 0.00,  0.09]\t -- t: 163767 sigma: 0.1167 [S]\n",
      "Ep  981\tMaxAvg100: 1.67\tMax: 2.60 [ 2.60,  2.60]\t -- t: 164768 sigma: 0.1155 \n",
      "Ep  982\tMaxAvg100: 1.68\tMax: 2.70 [ 2.60,  2.70]\t -- t: 165769 sigma: 0.1143 [S]\n",
      "Ep  983\tMaxAvg100: 1.69\tMax: 2.60 [ 2.60,  2.60]\t -- t: 166770 sigma: 0.1132 [S]\n",
      "Ep  984\tMaxAvg100: 1.69\tMax: 2.70 [ 2.70,  2.60]\t -- t: 167771 sigma: 0.1121 [S]\n",
      "Ep  985\tMaxAvg100: 1.70\tMax: 2.70 [ 2.60,  2.70]\t -- t: 168772 sigma: 0.1110 [S]\n",
      "Ep  986\tMaxAvg100: 1.70\tMax: 2.60 [ 2.60,  2.60]\t -- t: 169773 sigma: 0.1099 [S]\n",
      "Ep  987\tMaxAvg100: 1.71\tMax: 1.20 [ 1.20,  1.19]\t -- t: 170239 sigma: 0.1093 [S]\n",
      "Ep  988\tMaxAvg100: 1.71\tMax: 2.60 [ 2.60,  2.60]\t -- t: 171240 sigma: 0.1083 [S]\n",
      "Ep  989\tMaxAvg100: 1.72\tMax: 2.70 [ 2.70,  2.60]\t -- t: 172241 sigma: 0.1072 [S]\n",
      "Ep  990\tMaxAvg100: 1.72\tMax: 2.60 [ 2.60,  2.60]\t -- t: 173242 sigma: 0.1061 [S]\n",
      "Ep  991\tMaxAvg100: 1.73\tMax: 0.20 [ 0.20,  0.19]\t -- t: 173308 sigma: 0.1060 [S]\n",
      "Ep  992\tMaxAvg100: 1.72\tMax: 2.60 [ 2.60,  2.60]\t -- t: 174309 sigma: 0.1050 \n",
      "Ep  993\tMaxAvg100: 1.73\tMax: 2.70 [ 2.70,  2.60]\t -- t: 175310 sigma: 0.1039 \n",
      "Ep  994\tMaxAvg100: 1.74\tMax: 2.30 [ 2.19,  2.30]\t -- t: 176176 sigma: 0.1030 [S]\n",
      "Ep  995\tMaxAvg100: 1.75\tMax: 2.60 [ 2.60,  2.60]\t -- t: 177177 sigma: 0.1020 [S]\n",
      "Ep  996\tMaxAvg100: 1.75\tMax: 2.70 [ 2.60,  2.70]\t -- t: 178178 sigma: 0.1010 [S]\n",
      "Ep  997\tMaxAvg100: 1.75\tMax: 2.60 [ 2.60,  2.60]\t -- t: 179179 sigma: 0.1000 [S]\n",
      "Ep  998\tMaxAvg100: 1.76\tMax: 2.70 [ 2.70,  2.60]\t -- t: 180180 sigma: 0.0990 [S]\n",
      "Ep  999\tMaxAvg100: 1.76\tMax: 2.70 [ 2.60,  2.70]\t -- t: 181181 sigma: 0.0980 [S]\n",
      "Ep 1000\tMaxAvg100: 1.76\tMax: 2.60 [ 2.60,  2.60]\t -- t: 182182 sigma: 0.0970 [S]\n",
      "Ep 1001\tMaxAvg100: 1.77\tMax: 2.60 [ 2.60,  2.49]\t -- t: 183159 sigma: 0.0961 [S]\n",
      "Ep 1002\tMaxAvg100: 1.77\tMax: 2.20 [ 2.19,  2.20]\t -- t: 184006 sigma: 0.0953 [S]\n",
      "Ep 1003\tMaxAvg100: 1.77\tMax: 0.20 [ 0.20,  0.19]\t -- t: 184110 sigma: 0.0952 [S]\n",
      "Ep 1004\tMaxAvg100: 1.77\tMax: 2.60 [ 2.60,  2.60]\t -- t: 185111 sigma: 0.0942 \n",
      "Ep 1005\tMaxAvg100: 1.77\tMax: 2.70 [ 2.70,  2.60]\t -- t: 186112 sigma: 0.0933 \n",
      "Ep 1006\tMaxAvg100: 1.77\tMax: 2.60 [ 2.60,  2.60]\t -- t: 187113 sigma: 0.0924 \n",
      "Ep 1007\tMaxAvg100: 1.77\tMax: 2.70 [ 2.60,  2.70]\t -- t: 188114 sigma: 0.0914 [S]\n",
      "Ep 1008\tMaxAvg100: 1.78\tMax: 2.70 [ 2.70,  2.60]\t -- t: 189115 sigma: 0.0905 [S]\n",
      "Ep 1009\tMaxAvg100: 1.78\tMax: 2.60 [ 2.60,  2.60]\t -- t: 190116 sigma: 0.0896 [S]\n",
      "Ep 1010\tMaxAvg100: 1.78\tMax: 2.70 [ 2.60,  2.70]\t -- t: 191117 sigma: 0.0887 [S]\n",
      "Ep 1011\tMaxAvg100: 1.79\tMax: 2.70 [ 2.70,  2.60]\t -- t: 192118 sigma: 0.0879 [S]\n",
      "Ep 1012\tMaxAvg100: 1.80\tMax: 0.59 [ 0.50,  0.59]\t -- t: 192348 sigma: 0.0877 [S]\n",
      "Ep 1013\tMaxAvg100: 1.80\tMax: 2.40 [ 2.40,  2.29]\t -- t: 193249 sigma: 0.0869 \n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Ep 1014\tMaxAvg100: 1.81\tMax: 2.60 [ 2.60,  2.60]\t -- t: 194250 sigma: 0.0860 [S]\n",
      "Ep 1015\tMaxAvg100: 1.83\tMax: 2.70 [ 2.60,  2.70]\t -- t: 195251 sigma: 0.0851 [S]\n",
      "Ep 1016\tMaxAvg100: 1.84\tMax: 2.60 [ 2.60,  2.60]\t -- t: 196252 sigma: 0.0843 [S]\n",
      "Ep 1017\tMaxAvg100: 1.84\tMax: 2.40 [ 2.40,  2.29]\t -- t: 197148 sigma: 0.0835 [S]\n",
      "Ep 1018\tMaxAvg100: 1.86\tMax: 1.79 [ 1.70,  1.79]\t -- t: 197821 sigma: 0.0830 [S]\n",
      "Ep 1019\tMaxAvg100: 1.86\tMax: 1.90 [ 1.90,  1.89]\t -- t: 198559 sigma: 0.0824 \n",
      "Ep 1020\tMaxAvg100: 1.85\tMax: 2.60 [ 2.60,  2.60]\t -- t: 199560 sigma: 0.0816 \n",
      "Ep 1021\tMaxAvg100: 1.87\tMax: 2.70 [ 2.70,  2.60]\t -- t: 200561 sigma: 0.0807 [S]\n",
      "Ep 1022\tMaxAvg100: 1.87\tMax: 0.30 [ 0.30,  0.29]\t -- t: 200685 sigma: 0.0806 [S]\n",
      "Ep 1023\tMaxAvg100: 1.86\tMax: 2.60 [ 2.60,  2.60]\t -- t: 201686 sigma: 0.0798 \n",
      "Ep 1024\tMaxAvg100: 1.88\tMax: 2.70 [ 2.70,  2.60]\t -- t: 202687 sigma: 0.0790 [S]\n",
      "Ep 1025\tMaxAvg100: 1.89\tMax: 2.70 [ 2.60,  2.70]\t -- t: 203688 sigma: 0.0783 [S]\n",
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      "Ep 1028\tMaxAvg100: 1.91\tMax: 2.70 [ 2.60,  2.70]\t -- t: 206691 sigma: 0.0759 [S]\n",
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      "Ep 1030\tMaxAvg100: 1.91\tMax: 2.70 [ 2.70,  2.60]\t -- t: 208693 sigma: 0.0744 [S]\n",
      "Ep 1031\tMaxAvg100: 1.93\tMax: 2.60 [ 2.60,  2.60]\t -- t: 209694 sigma: 0.0737 [S]\n",
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      "Ep 1033\tMaxAvg100: 1.96\tMax: 2.70 [ 2.70,  2.60]\t -- t: 211696 sigma: 0.0722 [S]\n",
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      "Ep 1035\tMaxAvg100: 1.97\tMax: 1.40 [ 1.40,  1.29]\t -- t: 213204 sigma: 0.0712 [S]\n",
      "Ep 1036\tMaxAvg100: 1.98\tMax: 2.60 [ 2.60,  2.60]\t -- t: 214205 sigma: 0.0704 [S]\n",
      "Ep 1037\tMaxAvg100: 1.99\tMax: 0.30 [ 0.30,  0.19]\t -- t: 214301 sigma: 0.0704 [S]\n",
      "Ep 1038\tMaxAvg100: 1.99\tMax: 2.60 [ 2.60,  2.60]\t -- t: 215302 sigma: 0.0697 \n",
      "Ep 1039\tMaxAvg100: 1.99\tMax: 2.60 [ 2.60,  2.60]\t -- t: 216303 sigma: 0.0690 [S]\n",
      "Ep 1040\tMaxAvg100: 2.00\tMax: 2.70 [ 2.70,  2.60]\t -- t: 217304 sigma: 0.0683 [S]\n",
      "Ep 1041\tMaxAvg100: 2.00\tMax: 2.70 [ 2.60,  2.70]\t -- t: 218305 sigma: 0.0676 [S]\n",
      "Ep 1042\tMaxAvg100: 2.00\tMax: 2.60 [ 2.60,  2.60]\t -- t: 219306 sigma: 0.0669 [S]\n",
      "Ep 1043\tMaxAvg100: 2.01\tMax: 2.70 [ 2.70,  2.60]\t -- t: 220307 sigma: 0.0663 [S]\n",
      "Ep 1044\tMaxAvg100: 2.01\tMax: 2.70 [ 2.60,  2.70]\t -- t: 221308 sigma: 0.0656 [S]\n",
      "Ep 1045\tMaxAvg100: 2.01\tMax: 2.60 [ 2.60,  2.60]\t -- t: 222309 sigma: 0.0650 [S]\n",
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      "Ep 1047\tMaxAvg100: 2.02\tMax: 1.40 [ 1.40,  1.39]\t -- t: 223870 sigma: 0.0640 [S]\n",
      "Ep 1048\tMaxAvg100: 2.01\tMax: 0.40 [ 0.40,  0.29]\t -- t: 224013 sigma: 0.0639 \n",
      "Ep 1049\tMaxAvg100: 2.01\tMax: 0.40 [ 0.40,  0.29]\t -- t: 224154 sigma: 0.0638 \n",
      "Ep 1050\tMaxAvg100: 2.00\tMax: 0.40 [ 0.40,  0.29]\t -- t: 224294 sigma: 0.0637 \n",
      "Ep 1051\tMaxAvg100: 1.99\tMax: 0.60 [ 0.49,  0.60]\t -- t: 224514 sigma: 0.0635 \n",
      "Ep 1052\tMaxAvg100: 1.98\tMax: 2.60 [ 2.60,  2.60]\t -- t: 225515 sigma: 0.0629 \n",
      "Ep 1053\tMaxAvg100: 1.99\tMax: 0.10 [-0.01,  0.10]\t -- t: 225535 sigma: 0.0629 \n",
      "Ep 1054\tMaxAvg100: 1.98\tMax: 2.60 [ 2.60,  2.60]\t -- t: 226536 sigma: 0.0623 \n",
      "Ep 1055\tMaxAvg100: 1.99\tMax: 2.70 [ 2.70,  2.60]\t -- t: 227537 sigma: 0.0617 \n",
      "Ep 1056\tMaxAvg100: 1.99\tMax: 1.90 [ 1.90,  1.89]\t -- t: 228282 sigma: 0.0612 \n",
      "Ep 1057\tMaxAvg100: 1.99\tMax: 2.60 [ 2.60,  2.60]\t -- t: 229283 sigma: 0.0606 \n",
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      "Ep 1059\tMaxAvg100: 2.01\tMax: 2.70 [ 2.70,  2.60]\t -- t: 231285 sigma: 0.0594 \n",
      "Ep 1060\tMaxAvg100: 2.01\tMax: 2.60 [ 2.60,  2.60]\t -- t: 232286 sigma: 0.0588 \n",
      "Ep 1061\tMaxAvg100: 2.02\tMax: 2.70 [ 2.60,  2.70]\t -- t: 233287 sigma: 0.0582 [S]\n",
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      "Ep 1063\tMaxAvg100: 2.03\tMax: 2.60 [ 2.60,  2.60]\t -- t: 235289 sigma: 0.0571 [S]\n",
      "Ep 1064\tMaxAvg100: 2.04\tMax: 2.70 [ 2.60,  2.70]\t -- t: 236290 sigma: 0.0565 [S]\n",
      "Ep 1065\tMaxAvg100: 2.04\tMax: 2.70 [ 2.70,  2.60]\t -- t: 237291 sigma: 0.0559 [S]\n",
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     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Ep 1117\tMaxAvg100: 2.16\tMax: 2.70 [ 2.60,  2.70]\t -- t: 283564 sigma: 0.0500 [S]\n",
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     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Ep 1222\tMaxAvg100: 2.22\tMax: 2.70 [ 2.70,  2.60]\t -- t: 373086 sigma: 0.0500 \n",
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      "Ep 1224\tMaxAvg100: 2.24\tMax: 2.70 [ 2.60,  2.70]\t -- t: 375088 sigma: 0.0500 \n",
      "Ep 1225\tMaxAvg100: 2.24\tMax: 2.30 [ 2.29,  2.30]\t -- t: 375967 sigma: 0.0500 \n",
      "Ep 1226\tMaxAvg100: 2.25\tMax: 2.60 [ 2.60,  2.60]\t -- t: 376968 sigma: 0.0500 \n",
      "Ep 1227\tMaxAvg100: 2.25\tMax: 2.70 [ 2.60,  2.70]\t -- t: 377969 sigma: 0.0500 \n",
      "Ep 1228\tMaxAvg100: 2.25\tMax: 2.40 [ 2.39,  2.40]\t -- t: 378891 sigma: 0.0500 \n",
      "Ep 1229\tMaxAvg100: 2.25\tMax: 0.99 [ 0.90,  0.99]\t -- t: 379262 sigma: 0.0500 \n",
      "Ep 1230\tMaxAvg100: 2.25\tMax: 0.40 [ 0.39,  0.40]\t -- t: 379423 sigma: 0.0500 \n",
      "Ep 1231\tMaxAvg100: 2.25\tMax: 0.20 [ 0.20,  0.19]\t -- t: 379507 sigma: 0.0500 \n",
      "Ep 1232\tMaxAvg100: 2.24\tMax: 0.90 [ 0.79,  0.90]\t -- t: 379840 sigma: 0.0500 \n",
      "Ep 1233\tMaxAvg100: 2.23\tMax: 0.30 [ 0.29,  0.30]\t -- t: 379966 sigma: 0.0500 \n",
      "Ep 1234\tMaxAvg100: 2.23\tMax: 0.40 [ 0.40,  0.39]\t -- t: 380143 sigma: 0.0500 \n",
      "Ep 1235\tMaxAvg100: 2.22\tMax: 2.60 [ 2.60,  2.50]\t -- t: 381144 sigma: 0.0500 \n",
      "Ep 1236\tMaxAvg100: 2.22\tMax: 0.40 [ 0.29,  0.40]\t -- t: 381276 sigma: 0.0500 \n",
      "Ep 1237\tMaxAvg100: 2.22\tMax: 2.60 [ 2.60,  2.60]\t -- t: 382277 sigma: 0.0500 \n",
      "Ep 1238\tMaxAvg100: 2.22\tMax: 2.70 [ 2.70,  2.60]\t -- t: 383278 sigma: 0.0500 \n",
      "Ep 1239\tMaxAvg100: 2.23\tMax: 2.70 [ 2.60,  2.70]\t -- t: 384279 sigma: 0.0500 \n",
      "Ep 1240\tMaxAvg100: 2.23\tMax: 2.60 [ 2.60,  2.60]\t -- t: 385280 sigma: 0.0500 \n",
      "Ep 1241\tMaxAvg100: 2.23\tMax: 2.70 [ 2.70,  2.60]\t -- t: 386281 sigma: 0.0500 \n",
      "Ep 1242\tMaxAvg100: 2.23\tMax: 0.60 [ 0.49,  0.60]\t -- t: 386498 sigma: 0.0500 \n",
      "Ep 1243\tMaxAvg100: 2.22\tMax: 2.10 [ 2.09,  2.10]\t -- t: 387308 sigma: 0.0500 \n",
      "Ep 1244\tMaxAvg100: 2.21\tMax: 2.60 [ 2.60,  2.60]\t -- t: 388309 sigma: 0.0500 \n",
      "Ep 1245\tMaxAvg100: 2.21\tMax: 2.70 [ 2.70,  2.60]\t -- t: 389310 sigma: 0.0500 \n",
      "Ep 1246\tMaxAvg100: 2.21\tMax: 2.60 [ 2.60,  2.60]\t -- t: 390311 sigma: 0.0500 \n",
      "Ep 1247\tMaxAvg100: 2.23\tMax: 2.70 [ 2.60,  2.70]\t -- t: 391312 sigma: 0.0500 \n",
      "Ep 1248\tMaxAvg100: 2.23\tMax: 2.70 [ 2.70,  2.60]\t -- t: 392313 sigma: 0.0500 \n",
      "Ep 1249\tMaxAvg100: 2.23\tMax: 2.60 [ 2.60,  2.60]\t -- t: 393314 sigma: 0.0500 \n",
      "Ep 1250\tMaxAvg100: 2.23\tMax: 2.70 [ 2.60,  2.70]\t -- t: 394315 sigma: 0.0500 \n",
      "Ep 1251\tMaxAvg100: 2.23\tMax: 2.60 [ 2.60,  2.60]\t -- t: 395316 sigma: 0.0500 \n",
      "Ep 1252\tMaxAvg100: 2.23\tMax: 2.70 [ 2.70,  2.60]\t -- t: 396317 sigma: 0.0500 \n",
      "Ep 1253\tMaxAvg100: 2.23\tMax: 2.60 [ 2.60,  2.60]\t -- t: 397318 sigma: 0.0500 \n",
      "Ep 1254\tMaxAvg100: 2.23\tMax: 2.70 [ 2.70,  2.60]\t -- t: 398319 sigma: 0.0500 \n",
      "Ep 1255\tMaxAvg100: 2.25\tMax: 2.70 [ 2.60,  2.70]\t -- t: 399320 sigma: 0.0500 \n",
      "Ep 1256\tMaxAvg100: 2.25\tMax: 2.40 [ 2.40,  2.29]\t -- t: 400221 sigma: 0.0500 \n",
      "Ep 1257\tMaxAvg100: 2.24\tMax: 1.40 [ 1.29,  1.40]\t -- t: 400746 sigma: 0.0500 \n",
      "Ep 1258\tMaxAvg100: 2.24\tMax: 2.00 [ 2.00,  1.89]\t -- t: 401501 sigma: 0.0500 \n",
      "Ep 1259\tMaxAvg100: 2.24\tMax: 2.60 [ 2.60,  2.60]\t -- t: 402502 sigma: 0.0500 \n",
      "Ep 1260\tMaxAvg100: 2.24\tMax: 2.70 [ 2.70,  2.60]\t -- t: 403503 sigma: 0.0500 \n",
      "Ep 1261\tMaxAvg100: 2.24\tMax: 2.60 [ 2.60,  2.60]\t -- t: 404504 sigma: 0.0500 \n",
      "Ep 1262\tMaxAvg100: 2.24\tMax: 2.70 [ 2.60,  2.70]\t -- t: 405505 sigma: 0.0500 \n",
      "Ep 1263\tMaxAvg100: 2.24\tMax: 0.10 [ 0.09,  0.10]\t -- t: 405549 sigma: 0.0500 \n",
      "Ep 1264\tMaxAvg100: 2.23\tMax: 2.60 [ 2.60,  2.60]\t -- t: 406550 sigma: 0.0500 \n",
      "Ep 1265\tMaxAvg100: 2.23\tMax: 0.00 [-0.01,  0.00]\t -- t: 406551 sigma: 0.0500 \n",
      "Ep 1266\tMaxAvg100: 2.22\tMax: 2.60 [ 2.60,  2.60]\t -- t: 407552 sigma: 0.0500 \n",
      "Ep 1267\tMaxAvg100: 2.23\tMax: 2.20 [ 2.20,  2.19]\t -- t: 408391 sigma: 0.0500 \n",
      "Ep 1268\tMaxAvg100: 2.24\tMax: 2.60 [ 2.60,  2.60]\t -- t: 409392 sigma: 0.0500 \n",
      "Ep 1269\tMaxAvg100: 2.24\tMax: 2.70 [ 2.70,  2.60]\t -- t: 410393 sigma: 0.0500 \n",
      "Ep 1270\tMaxAvg100: 2.24\tMax: 1.40 [ 1.29,  1.40]\t -- t: 410913 sigma: 0.0500 \n",
      "Ep 1271\tMaxAvg100: 2.23\tMax: 2.60 [ 2.60,  2.60]\t -- t: 411914 sigma: 0.0500 \n",
      "Ep 1272\tMaxAvg100: 2.23\tMax: 2.70 [ 2.70,  2.60]\t -- t: 412915 sigma: 0.0500 \n",
      "Ep 1273\tMaxAvg100: 2.23\tMax: 2.60 [ 2.60,  2.60]\t -- t: 413916 sigma: 0.0500 \n",
      "Ep 1274\tMaxAvg100: 2.23\tMax: 0.80 [ 0.69,  0.80]\t -- t: 414202 sigma: 0.0500 \n",
      "Ep 1275\tMaxAvg100: 2.22\tMax: 2.60 [ 2.60,  2.60]\t -- t: 415203 sigma: 0.0500 \n",
      "Ep 1276\tMaxAvg100: 2.22\tMax: 2.60 [ 2.60,  2.60]\t -- t: 416204 sigma: 0.0500 \n",
      "Ep 1277\tMaxAvg100: 2.22\tMax: 2.70 [ 2.70,  2.60]\t -- t: 417205 sigma: 0.0500 \n",
      "Ep 1278\tMaxAvg100: 2.22\tMax: 2.70 [ 2.60,  2.70]\t -- t: 418206 sigma: 0.0500 \n",
      "Ep 1279\tMaxAvg100: 2.23\tMax: 0.50 [ 0.49,  0.50]\t -- t: 418402 sigma: 0.0500 \n",
      "Ep 1280\tMaxAvg100: 2.23\tMax: 2.60 [ 2.60,  2.60]\t -- t: 419403 sigma: 0.0500 \n",
      "Ep 1281\tMaxAvg100: 2.23\tMax: 2.70 [ 2.60,  2.70]\t -- t: 420404 sigma: 0.0500 \n",
      "Ep 1282\tMaxAvg100: 2.23\tMax: 1.60 [ 1.59,  1.60]\t -- t: 421013 sigma: 0.0500 \n",
      "Ep 1283\tMaxAvg100: 2.23\tMax: 2.60 [ 2.60,  2.60]\t -- t: 422014 sigma: 0.0500 \n",
      "Ep 1284\tMaxAvg100: 2.23\tMax: 2.50 [ 2.49,  2.50]\t -- t: 422964 sigma: 0.0500 \n",
      "Ep 1285\tMaxAvg100: 2.23\tMax: 2.60 [ 2.60,  2.60]\t -- t: 423965 sigma: 0.0500 \n",
      "Ep 1286\tMaxAvg100: 2.23\tMax: 2.70 [ 2.70,  2.60]\t -- t: 424966 sigma: 0.0500 \n",
      "Ep 1287\tMaxAvg100: 2.23\tMax: 1.89 [ 1.80,  1.89]\t -- t: 425675 sigma: 0.0500 \n",
      "Ep 1288\tMaxAvg100: 2.23\tMax: 0.20 [ 0.20,  0.09]\t -- t: 425741 sigma: 0.0500 \n",
      "Ep 1289\tMaxAvg100: 2.22\tMax: 1.30 [ 1.29,  1.30]\t -- t: 426247 sigma: 0.0500 \n",
      "Ep 1290\tMaxAvg100: 2.21\tMax: 2.60 [ 2.60,  2.60]\t -- t: 427248 sigma: 0.0500 \n",
      "Ep 1291\tMaxAvg100: 2.21\tMax: 2.70 [ 2.70,  2.60]\t -- t: 428249 sigma: 0.0500 \n",
      "Ep 1292\tMaxAvg100: 2.21\tMax: 1.20 [ 1.20,  1.19]\t -- t: 428715 sigma: 0.0500 \n",
      "Ep 1293\tMaxAvg100: 2.20\tMax: 2.60 [ 2.60,  2.60]\t -- t: 429716 sigma: 0.0500 \n",
      "Ep 1294\tMaxAvg100: 2.21\tMax: 2.70 [ 2.70,  2.60]\t -- t: 430717 sigma: 0.0500 \n",
      "Ep 1295\tMaxAvg100: 2.21\tMax: 2.60 [ 2.60,  2.60]\t -- t: 431718 sigma: 0.0500 \n",
      "Ep 1296\tMaxAvg100: 2.21\tMax: 2.70 [ 2.60,  2.70]\t -- t: 432719 sigma: 0.0500 \n",
      "Ep 1297\tMaxAvg100: 2.21\tMax: 2.60 [ 2.60,  2.60]\t -- t: 433720 sigma: 0.0500 \n",
      "Ep 1298\tMaxAvg100: 2.21\tMax: 2.70 [ 2.70,  2.60]\t -- t: 434721 sigma: 0.0500 \n",
      "Ep 1299\tMaxAvg100: 2.21\tMax: 2.50 [ 2.39,  2.50]\t -- t: 435654 sigma: 0.0500 \n",
      "Ep 1300\tMaxAvg100: 2.21\tMax: 0.40 [ 0.40,  0.29]\t -- t: 435808 sigma: 0.0500 \n"
     ]
    }
   ],
   "source": [
    "multi_agent = MultiAgent(num_agents, state_size, action_size, noise_type=\"normal\")\n",
    "scores_normal = train(multi_agent, n_episodes=1300, max_t=10000)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "71d23792",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x504 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_scores([scores_normal], ['normal'], save_as='normal.png')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b2eafc6c",
   "metadata": {},
   "source": [
    "## Ornstein–Uhlenbeck Process Action Noise"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "79d20147-0c48-4094-89e8-a6d47728d5af",
   "metadata": {
    "scrolled": false,
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "################################################################################\n",
      "\n",
      "Hyperparameters (multiagent):\n",
      "\n",
      "         n_agents: 2\n",
      "      random_seed: 0\n",
      "      learn_every: 1\n",
      "          n_learn: 8\n",
      "     alpha_critic: 0.0001\n",
      "       batch_size: 64\n",
      "      buffer_size: 1000000\n",
      "      action_size: 2\n",
      "       noise_type: ou\n",
      "       state_size: 24\n",
      "\n",
      "Critic(\n",
      "  (seq1): Sequential(\n",
      "    (0): Linear(in_features=24, out_features=300, bias=True)\n",
      "    (1): BatchNorm1d(300, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
      "    (2): ReLU()\n",
      "  )\n",
      "  (seq2): Sequential(\n",
      "    (0): Linear(in_features=302, out_features=400, bias=True)\n",
      "    (1): ReLU()\n",
      "    (2): Linear(in_features=400, out_features=1, bias=True)\n",
      "  )\n",
      ")\n",
      "\n",
      "Single Agent: Hyperparameters: \n",
      "\n",
      "       state_size: 24\n",
      "      action_size: 2\n",
      "       noise_type: ou\n",
      "      alpha_actor: 0.0001\n",
      "            gamma: 0.99\n",
      "              tau: 0.001\n",
      " desired_distance: 0.3\n",
      "           scalar: 0.5\n",
      "     scalar_decay: 0.99\n",
      "    normal_scalar: 0.4\n",
      "\n",
      "Actor(\n",
      "  (seq): Sequential(\n",
      "    (0): Linear(in_features=24, out_features=300, bias=True)\n",
      "    (1): BatchNorm1d(300, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
      "    (2): ReLU()\n",
      "    (3): Linear(in_features=300, out_features=400, bias=True)\n",
      "    (4): ReLU()\n",
      "    (5): Linear(in_features=400, out_features=2, bias=True)\n",
      "    (6): Tanh()\n",
      "  )\n",
      ") \n",
      "\n",
      "################################################################################\n",
      "\n",
      "\n",
      "Ep    1\tMaxAvg100: 0.00\tMax: 0.00 [ 0.00, -0.01]\t -- t: 000013 sigma: 0.5996 \n",
      "Ep    2\tMaxAvg100: 0.00\tMax: 0.00 [-0.01,  0.00]\t -- t: 000028 sigma: 0.5992 \n",
      "Ep    3\tMaxAvg100: 0.00\tMax: 0.00 [-0.01,  0.00]\t -- t: 000042 sigma: 0.5987 \n",
      "Ep    4\tMaxAvg100: 0.00\tMax: 0.00 [-0.01,  0.00]\t -- t: 000056 sigma: 0.5983 \n",
      "Ep    5\tMaxAvg100: 0.00\tMax: 0.00 [ 0.00, -0.01]\t -- t: 000070 sigma: 0.5979 \n",
      "Ep    6\tMaxAvg100: 0.00\tMax: 0.00 [-0.01,  0.00]\t -- t: 000084 sigma: 0.5975 \n",
      "Ep    7\tMaxAvg100: 0.00\tMax: 0.00 [ 0.00, -0.01]\t -- t: 000099 sigma: 0.5970 \n",
      "Ep    8\tMaxAvg100: 0.00\tMax: 0.00 [ 0.00, -0.01]\t -- t: 000113 sigma: 0.5966 \n",
      "Ep    9\tMaxAvg100: 0.00\tMax: 0.00 [ 0.00, -0.01]\t -- t: 000127 sigma: 0.5962 \n",
      "Ep   10\tMaxAvg100: 0.00\tMax: 0.00 [ 0.00, -0.01]\t -- t: 000141 sigma: 0.5958 \n",
      "Ep   11\tMaxAvg100: 0.00\tMax: 0.00 [-0.01,  0.00]\t -- t: 000155 sigma: 0.5954 \n",
      "Ep   12\tMaxAvg100: 0.00\tMax: 0.00 [-0.01,  0.00]\t -- t: 000169 sigma: 0.5950 \n",
      "Ep   13\tMaxAvg100: 0.00\tMax: 0.00 [ 0.00, -0.01]\t -- t: 000184 sigma: 0.5945 \n",
      "Ep   14\tMaxAvg100: 0.00\tMax: 0.00 [ 0.00, -0.01]\t -- t: 000202 sigma: 0.5940 \n",
      "Ep   15\tMaxAvg100: 0.00\tMax: 0.00 [ 0.00, -0.01]\t -- t: 000216 sigma: 0.5936 \n",
      "Ep   16\tMaxAvg100: 0.00\tMax: 0.00 [ 0.00, -0.01]\t -- t: 000234 sigma: 0.5930 \n",
      "Ep   17\tMaxAvg100: 0.00\tMax: 0.00 [-0.01,  0.00]\t -- t: 000249 sigma: 0.5926 \n",
      "Ep   18\tMaxAvg100: 0.00\tMax: 0.00 [ 0.00, -0.01]\t -- t: 000263 sigma: 0.5922 \n",
      "Ep   19\tMaxAvg100: 0.00\tMax: 0.00 [-0.01,  0.00]\t -- t: 000277 sigma: 0.5917 \n",
      "Ep   20\tMaxAvg100: 0.00\tMax: 0.00 [ 0.00, -0.01]\t -- t: 000291 sigma: 0.5913 \n",
      "Ep   21\tMaxAvg100: 0.00\tMax: 0.00 [-0.01,  0.00]\t -- t: 000305 sigma: 0.5909 \n",
      "Ep   22\tMaxAvg100: 0.00\tMax: 0.00 [-0.01,  0.00]\t -- t: 000319 sigma: 0.5905 \n",
      "Ep   23\tMaxAvg100: 0.00\tMax: 0.00 [-0.01,  0.00]\t -- t: 000333 sigma: 0.5901 \n",
      "Ep   24\tMaxAvg100: 0.00\tMax: 0.00 [-0.01,  0.00]\t -- t: 000348 sigma: 0.5897 \n",
      "Ep   25\tMaxAvg100: 0.00\tMax: 0.00 [-0.01,  0.00]\t -- t: 000362 sigma: 0.5892 \n",
      "Ep   26\tMaxAvg100: 0.00\tMax: 0.00 [-0.01,  0.00]\t -- t: 000376 sigma: 0.5888 \n",
      "Ep   27\tMaxAvg100: 0.00\tMax: 0.00 [-0.01,  0.00]\t -- t: 000390 sigma: 0.5884 \n",
      "Ep   28\tMaxAvg100: 0.00\tMax: 0.00 [-0.01,  0.00]\t -- t: 000404 sigma: 0.5880 \n",
      "Ep   29\tMaxAvg100: 0.00\tMax: 0.00 [-0.01,  0.00]\t -- t: 000419 sigma: 0.5876 \n",
      "Ep   30\tMaxAvg100: 0.00\tMax: 0.00 [ 0.00, -0.01]\t -- t: 000433 sigma: 0.5871 \n",
      "Ep   31\tMaxAvg100: 0.00\tMax: 0.00 [ 0.00, -0.01]\t -- t: 000447 sigma: 0.5867 \n",
      "Ep   32\tMaxAvg100: 0.00\tMax: 0.10 [ 0.10, -0.01]\t -- t: 000484 sigma: 0.5857 \n",
      "Ep   33\tMaxAvg100: 0.00\tMax: 0.00 [-0.01,  0.00]\t -- t: 000498 sigma: 0.5852 [S]\n",
      "Ep   34\tMaxAvg100: 0.00\tMax: 0.00 [ 0.00, -0.01]\t -- t: 000512 sigma: 0.5848 \n",
      "Ep   35\tMaxAvg100: 0.00\tMax: 0.00 [-0.01,  0.00]\t -- t: 000526 sigma: 0.5844 \n",
      "Ep   36\tMaxAvg100: 0.00\tMax: 0.00 [ 0.00, -0.01]\t -- t: 000541 sigma: 0.5840 \n",
      "Ep   37\tMaxAvg100: 0.00\tMax: 0.00 [ 0.00, -0.01]\t -- t: 000555 sigma: 0.5836 \n",
      "Ep   38\tMaxAvg100: 0.00\tMax: 0.00 [ 0.00, -0.01]\t -- t: 000569 sigma: 0.5832 \n",
      "Ep   39\tMaxAvg100: 0.00\tMax: 0.00 [-0.01,  0.00]\t -- t: 000583 sigma: 0.5828 \n",
      "Ep   40\tMaxAvg100: 0.00\tMax: 0.00 [ 0.00, -0.01]\t -- t: 000597 sigma: 0.5824 \n",
      "Ep   41\tMaxAvg100: 0.00\tMax: 0.10 [ 0.10, -0.01]\t -- t: 000628 sigma: 0.5815 \n",
      "Ep   42\tMaxAvg100: 0.00\tMax: 0.00 [ 0.00, -0.01]\t -- t: 000642 sigma: 0.5810 [S]\n",
      "Ep   43\tMaxAvg100: 0.00\tMax: 0.00 [-0.01,  0.00]\t -- t: 000656 sigma: 0.5806 \n",
      "Ep   44\tMaxAvg100: 0.00\tMax: 0.00 [ 0.00, -0.01]\t -- t: 000670 sigma: 0.5802 \n",
      "Ep   45\tMaxAvg100: 0.00\tMax: 0.00 [ 0.00, -0.01]\t -- t: 000684 sigma: 0.5798 \n",
      "Ep   46\tMaxAvg100: 0.00\tMax: 0.00 [ 0.00, -0.01]\t -- t: 000699 sigma: 0.5794 \n",
      "Ep   47\tMaxAvg100: 0.00\tMax: 0.00 [-0.01,  0.00]\t -- t: 000713 sigma: 0.5790 \n",
      "Ep   48\tMaxAvg100: 0.00\tMax: 0.00 [ 0.00, -0.01]\t -- t: 000727 sigma: 0.5786 \n",
      "Ep   49\tMaxAvg100: 0.00\tMax: 0.00 [-0.01,  0.00]\t -- t: 000741 sigma: 0.5782 \n",
      "Ep   50\tMaxAvg100: 0.00\tMax: 0.00 [ 0.00, -0.01]\t -- t: 000755 sigma: 0.5778 \n",
      "Ep   51\tMaxAvg100: 0.00\tMax: 0.00 [-0.01,  0.00]\t -- t: 000770 sigma: 0.5773 \n",
      "Ep   52\tMaxAvg100: 0.00\tMax: 0.00 [ 0.00, -0.01]\t -- t: 000783 sigma: 0.5770 \n",
      "Ep   53\tMaxAvg100: 0.00\tMax: 0.00 [-0.01,  0.00]\t -- t: 000798 sigma: 0.5765 \n",
      "Ep   54\tMaxAvg100: 0.00\tMax: 0.10 [ 0.10, -0.01]\t -- t: 000829 sigma: 0.5756 \n",
      "Ep   55\tMaxAvg100: 0.00\tMax: 0.00 [-0.01,  0.00]\t -- t: 000843 sigma: 0.5752 [S]\n",
      "Ep   56\tMaxAvg100: 0.00\tMax: 0.00 [ 0.00, -0.01]\t -- t: 000857 sigma: 0.5748 \n",
      "Ep   57\tMaxAvg100: 0.00\tMax: 0.00 [-0.01,  0.00]\t -- t: 000871 sigma: 0.5744 \n",
      "Ep   58\tMaxAvg100: 0.00\tMax: 0.00 [ 0.00, -0.01]\t -- t: 000885 sigma: 0.5740 \n",
      "Ep   59\tMaxAvg100: 0.00\tMax: 0.00 [ 0.00, -0.01]\t -- t: 000899 sigma: 0.5736 \n",
      "Ep   60\tMaxAvg100: 0.00\tMax: 0.00 [-0.01,  0.00]\t -- t: 000914 sigma: 0.5732 \n",
      "Ep   61\tMaxAvg100: 0.00\tMax: 0.00 [ 0.00, -0.01]\t -- t: 000928 sigma: 0.5728 \n",
      "Ep   62\tMaxAvg100: 0.00\tMax: 0.00 [ 0.00, -0.01]\t -- t: 000942 sigma: 0.5724 \n",
      "Ep   63\tMaxAvg100: 0.00\tMax: 0.00 [-0.01,  0.00]\t -- t: 000956 sigma: 0.5720 \n",
      "Ep   64\tMaxAvg100: 0.00\tMax: 0.10 [ 0.10, -0.01]\t -- t: 000988 sigma: 0.5711 \n",
      "Ep   65\tMaxAvg100: 0.00\tMax: 0.10 [ 0.10, -0.01]\t -- t: 001020 sigma: 0.5702 [S]\n",
      "Ep   66\tMaxAvg100: 0.00\tMax: 0.00 [ 0.00, -0.01]\t -- t: 001034 sigma: 0.5698 [S]\n",
      "Ep   67\tMaxAvg100: 0.00\tMax: 0.00 [-0.01,  0.00]\t -- t: 001049 sigma: 0.5693 \n",
      "Ep   68\tMaxAvg100: 0.00\tMax: 0.00 [-0.01,  0.00]\t -- t: 001063 sigma: 0.5689 \n",
      "Ep   69\tMaxAvg100: 0.00\tMax: 0.00 [-0.01,  0.00]\t -- t: 001077 sigma: 0.5685 \n",
      "Ep   70\tMaxAvg100: 0.00\tMax: 0.00 [ 0.00, -0.01]\t -- t: 001091 sigma: 0.5681 \n",
      "Ep   71\tMaxAvg100: 0.00\tMax: 0.00 [ 0.00, -0.01]\t -- t: 001105 sigma: 0.5677 \n",
      "Ep   72\tMaxAvg100: 0.00\tMax: 0.00 [-0.01,  0.00]\t -- t: 001120 sigma: 0.5673 \n",
      "Ep   73\tMaxAvg100: 0.00\tMax: 0.00 [ 0.00, -0.01]\t -- t: 001134 sigma: 0.5669 \n",
      "Ep   74\tMaxAvg100: 0.00\tMax: 0.10 [ 0.10, -0.01]\t -- t: 001167 sigma: 0.5660 \n",
      "Ep   75\tMaxAvg100: 0.00\tMax: 0.00 [-0.01,  0.00]\t -- t: 001184 sigma: 0.5655 [S]\n",
      "Ep   76\tMaxAvg100: 0.00\tMax: 0.00 [-0.01,  0.00]\t -- t: 001199 sigma: 0.5651 \n",
      "Ep   77\tMaxAvg100: 0.00\tMax: 0.09 [ 0.09,  0.00]\t -- t: 001220 sigma: 0.5645 \n",
      "Ep   78\tMaxAvg100: 0.01\tMax: 0.00 [-0.01,  0.00]\t -- t: 001234 sigma: 0.5641 [S]\n",
      "Ep   79\tMaxAvg100: 0.01\tMax: 0.10 [ 0.09,  0.10]\t -- t: 001283 sigma: 0.5627 \n",
      "Ep   80\tMaxAvg100: 0.01\tMax: 0.00 [-0.01,  0.00]\t -- t: 001297 sigma: 0.5623 [S]\n",
      "Ep   81\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 001312 sigma: 0.5619 \n",
      "Ep   82\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 001326 sigma: 0.5615 \n",
      "Ep   83\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 001343 sigma: 0.5610 \n",
      "Ep   84\tMaxAvg100: 0.01\tMax: 0.10 [ 0.10, -0.01]\t -- t: 001375 sigma: 0.5601 \n",
      "Ep   85\tMaxAvg100: 0.01\tMax: 0.00 [-0.01,  0.00]\t -- t: 001389 sigma: 0.5597 [S]\n",
      "Ep   86\tMaxAvg100: 0.01\tMax: 0.00 [-0.01,  0.00]\t -- t: 001404 sigma: 0.5593 \n",
      "Ep   87\tMaxAvg100: 0.01\tMax: 0.00 [-0.01,  0.00]\t -- t: 001417 sigma: 0.5590 \n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Ep   88\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 001432 sigma: 0.5585 \n",
      "Ep   89\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 001446 sigma: 0.5582 \n",
      "Ep   90\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 001460 sigma: 0.5578 \n",
      "Ep   91\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 001474 sigma: 0.5574 \n",
      "Ep   92\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 001488 sigma: 0.5570 \n",
      "Ep   93\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 001503 sigma: 0.5566 \n",
      "Ep   94\tMaxAvg100: 0.01\tMax: 0.00 [-0.01,  0.00]\t -- t: 001517 sigma: 0.5562 \n",
      "Ep   95\tMaxAvg100: 0.01\tMax: 0.00 [-0.01,  0.00]\t -- t: 001531 sigma: 0.5558 \n",
      "Ep   96\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 001545 sigma: 0.5554 \n",
      "Ep   97\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 001560 sigma: 0.5550 \n",
      "Ep   98\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 001574 sigma: 0.5546 \n",
      "Ep   99\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 001588 sigma: 0.5542 \n",
      "Ep  100\tMaxAvg100: 0.01\tMax: 0.00 [-0.01,  0.00]\t -- t: 001602 sigma: 0.5538 \n",
      "Ep  101\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 001616 sigma: 0.5534 \n",
      "Ep  102\tMaxAvg100: 0.01\tMax: 0.00 [-0.01,  0.00]\t -- t: 001631 sigma: 0.5530 \n",
      "Ep  103\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 001645 sigma: 0.5526 \n",
      "Ep  104\tMaxAvg100: 0.01\tMax: 0.00 [-0.01,  0.00]\t -- t: 001659 sigma: 0.5522 \n",
      "Ep  105\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 001673 sigma: 0.5519 \n",
      "Ep  106\tMaxAvg100: 0.01\tMax: 0.00 [-0.01,  0.00]\t -- t: 001687 sigma: 0.5515 \n",
      "Ep  107\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 001701 sigma: 0.5511 \n",
      "Ep  108\tMaxAvg100: 0.01\tMax: 0.00 [-0.01,  0.00]\t -- t: 001718 sigma: 0.5506 \n",
      "Ep  109\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 001732 sigma: 0.5502 \n",
      "Ep  110\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 001751 sigma: 0.5497 \n",
      "Ep  111\tMaxAvg100: 0.01\tMax: 0.00 [-0.01,  0.00]\t -- t: 001765 sigma: 0.5493 \n",
      "Ep  112\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 001783 sigma: 0.5488 \n",
      "Ep  113\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 001797 sigma: 0.5484 \n",
      "Ep  114\tMaxAvg100: 0.01\tMax: 0.00 [-0.01,  0.00]\t -- t: 001812 sigma: 0.5480 \n",
      "Ep  115\tMaxAvg100: 0.01\tMax: 0.00 [-0.01,  0.00]\t -- t: 001826 sigma: 0.5476 \n",
      "Ep  116\tMaxAvg100: 0.01\tMax: 0.00 [-0.01,  0.00]\t -- t: 001840 sigma: 0.5473 \n",
      "Ep  117\tMaxAvg100: 0.01\tMax: 0.00 [-0.01,  0.00]\t -- t: 001854 sigma: 0.5469 \n",
      "Ep  118\tMaxAvg100: 0.01\tMax: 0.00 [-0.01,  0.00]\t -- t: 001868 sigma: 0.5465 \n",
      "Ep  119\tMaxAvg100: 0.01\tMax: 0.00 [-0.01,  0.00]\t -- t: 001885 sigma: 0.5460 [S]\n",
      "Ep  120\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 001899 sigma: 0.5456 [S]\n",
      "Ep  121\tMaxAvg100: 0.01\tMax: 0.00 [-0.01,  0.00]\t -- t: 001913 sigma: 0.5453 [S]\n",
      "Ep  122\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 001927 sigma: 0.5449 [S]\n",
      "Ep  123\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 001942 sigma: 0.5445 [S]\n",
      "Ep  124\tMaxAvg100: 0.01\tMax: 0.00 [-0.01,  0.00]\t -- t: 001956 sigma: 0.5441 [S]\n",
      "Ep  125\tMaxAvg100: 0.01\tMax: 0.00 [-0.01,  0.00]\t -- t: 001970 sigma: 0.5437 [S]\n",
      "Ep  126\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 001984 sigma: 0.5433 [S]\n",
      "Ep  127\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 001998 sigma: 0.5430 [S]\n",
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      "Ep  129\tMaxAvg100: 0.01\tMax: 0.00 [-0.01,  0.00]\t -- t: 002027 sigma: 0.5422 [S]\n",
      "Ep  130\tMaxAvg100: 0.01\tMax: 0.00 [-0.01,  0.00]\t -- t: 002041 sigma: 0.5418 [S]\n",
      "Ep  131\tMaxAvg100: 0.01\tMax: 0.00 [-0.01,  0.00]\t -- t: 002055 sigma: 0.5414 [S]\n",
      "Ep  132\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 002069 sigma: 0.5410 [S]\n",
      "Ep  133\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 002084 sigma: 0.5406 \n",
      "Ep  134\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 002101 sigma: 0.5402 \n",
      "Ep  135\tMaxAvg100: 0.01\tMax: 0.00 [-0.01,  0.00]\t -- t: 002115 sigma: 0.5398 \n",
      "Ep  136\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 002130 sigma: 0.5394 \n",
      "Ep  137\tMaxAvg100: 0.01\tMax: 0.00 [-0.01,  0.00]\t -- t: 002144 sigma: 0.5390 \n",
      "Ep  138\tMaxAvg100: 0.01\tMax: 0.10 [ 0.10, -0.01]\t -- t: 002176 sigma: 0.5381 \n",
      "Ep  139\tMaxAvg100: 0.01\tMax: 0.00 [-0.01,  0.00]\t -- t: 002190 sigma: 0.5378 [S]\n",
      "Ep  140\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 002207 sigma: 0.5373 [S]\n",
      "Ep  141\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 002221 sigma: 0.5369 [S]\n",
      "Ep  142\tMaxAvg100: 0.01\tMax: 0.20 [ 0.19,  0.20]\t -- t: 002322 sigma: 0.5342 \n",
      "Ep  143\tMaxAvg100: 0.01\tMax: 0.00 [-0.01,  0.00]\t -- t: 002336 sigma: 0.5339 [S]\n",
      "Ep  144\tMaxAvg100: 0.01\tMax: 0.00 [-0.01,  0.00]\t -- t: 002353 sigma: 0.5334 [S]\n",
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      "Ep  146\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 002381 sigma: 0.5327 [S]\n",
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      "Ep  149\tMaxAvg100: 0.01\tMax: 0.00 [-0.01,  0.00]\t -- t: 002443 sigma: 0.5310 [S]\n",
      "Ep  150\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 002457 sigma: 0.5306 [S]\n",
      "Ep  151\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 002474 sigma: 0.5302 [S]\n",
      "Ep  152\tMaxAvg100: 0.01\tMax: 0.00 [-0.01,  0.00]\t -- t: 002488 sigma: 0.5298 [S]\n",
      "Ep  153\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 002503 sigma: 0.5294 [S]\n",
      "Ep  154\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 002517 sigma: 0.5290 [S]\n",
      "Ep  155\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 002531 sigma: 0.5287 \n",
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      "Ep  157\tMaxAvg100: 0.01\tMax: 0.10 [ 0.10, -0.01]\t -- t: 002578 sigma: 0.5274 \n",
      "Ep  158\tMaxAvg100: 0.01\tMax: 0.00 [-0.01,  0.00]\t -- t: 002593 sigma: 0.5270 [S]\n",
      "Ep  159\tMaxAvg100: 0.01\tMax: 0.00 [-0.01,  0.00]\t -- t: 002607 sigma: 0.5267 [S]\n",
      "Ep  160\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 002621 sigma: 0.5263 [S]\n",
      "Ep  161\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 002635 sigma: 0.5259 [S]\n",
      "Ep  162\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 002649 sigma: 0.5256 [S]\n",
      "Ep  163\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 002663 sigma: 0.5252 [S]\n",
      "Ep  164\tMaxAvg100: 0.01\tMax: 0.10 [ 0.10, -0.01]\t -- t: 002695 sigma: 0.5244 [S]\n",
      "Ep  165\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 002709 sigma: 0.5240 [S]\n",
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      "Ep  191\tMaxAvg100: 0.01\tMax: 0.00 [-0.01,  0.00]\t -- t: 003140 sigma: 0.5128 \n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Ep  192\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 003154 sigma: 0.5125 \n",
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     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Ep  297\tMaxAvg100: 0.01\tMax: 0.00 [-0.01,  0.00]\t -- t: 004814 sigma: 0.4716 \n",
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      "Ep  326\tMaxAvg100: 0.01\tMax: 0.09 [ 0.09,  0.00]\t -- t: 005353 sigma: 0.4591 \n",
      "Ep  327\tMaxAvg100: 0.01\tMax: 0.00 [-0.01,  0.00]\t -- t: 005367 sigma: 0.4588 [S]\n",
      "Ep  328\tMaxAvg100: 0.01\tMax: 0.00 [-0.01,  0.00]\t -- t: 005381 sigma: 0.4585 [S]\n",
      "Ep  329\tMaxAvg100: 0.01\tMax: 0.00 [-0.01,  0.00]\t -- t: 005395 sigma: 0.4581 [S]\n",
      "Ep  330\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 005413 sigma: 0.4577 \n",
      "Ep  331\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 005427 sigma: 0.4574 \n",
      "Ep  332\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 005441 sigma: 0.4571 \n",
      "Ep  333\tMaxAvg100: 0.01\tMax: 0.09 [ 0.00,  0.09]\t -- t: 005471 sigma: 0.4564 \n",
      "Ep  334\tMaxAvg100: 0.01\tMax: 0.00 [-0.01,  0.00]\t -- t: 005488 sigma: 0.4560 \n",
      "Ep  335\tMaxAvg100: 0.01\tMax: 0.09 [ 0.00,  0.09]\t -- t: 005518 sigma: 0.4553 \n",
      "Ep  336\tMaxAvg100: 0.01\tMax: 0.00 [-0.01,  0.00]\t -- t: 005541 sigma: 0.4548 [S]\n",
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      "Ep  343\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 005676 sigma: 0.4517 [S]\n",
      "Ep  344\tMaxAvg100: 0.01\tMax: 0.00 [-0.01,  0.00]\t -- t: 005690 sigma: 0.4514 \n",
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      "Ep  350\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 005820 sigma: 0.4485 [S]\n",
      "Ep  351\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 005835 sigma: 0.4482 [S]\n",
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      "Ep  368\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 006138 sigma: 0.4414 \n",
      "Ep  369\tMaxAvg100: 0.01\tMax: 0.00 [-0.01,  0.00]\t -- t: 006152 sigma: 0.4411 \n",
      "Ep  370\tMaxAvg100: 0.01\tMax: 0.09 [ 0.00,  0.09]\t -- t: 006183 sigma: 0.4404 \n",
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      "Ep  375\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 006285 sigma: 0.4382 [S]\n",
      "Ep  376\tMaxAvg100: 0.01\tMax: 0.10 [ 0.10, -0.01]\t -- t: 006318 sigma: 0.4375 \n",
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      "Ep  379\tMaxAvg100: 0.01\tMax: 0.00 [-0.01,  0.00]\t -- t: 006359 sigma: 0.4366 [S]\n",
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      "Ep  382\tMaxAvg100: 0.01\tMax: 0.09 [ 0.00,  0.09]\t -- t: 006434 sigma: 0.4349 [S]\n",
      "Ep  383\tMaxAvg100: 0.01\tMax: 0.09 [ 0.00,  0.09]\t -- t: 006465 sigma: 0.4343 [S]\n",
      "Ep  384\tMaxAvg100: 0.02\tMax: 0.00 [-0.01,  0.00]\t -- t: 006489 sigma: 0.4338 [S]\n",
      "Ep  385\tMaxAvg100: 0.02\tMax: 0.00 [ 0.00, -0.01]\t -- t: 006503 sigma: 0.4334 [S]\n",
      "Ep  386\tMaxAvg100: 0.02\tMax: 0.00 [-0.01,  0.00]\t -- t: 006519 sigma: 0.4331 [S]\n",
      "Ep  387\tMaxAvg100: 0.02\tMax: 0.00 [ 0.00, -0.01]\t -- t: 006533 sigma: 0.4328 [S]\n",
      "Ep  388\tMaxAvg100: 0.02\tMax: 0.10 [-0.01,  0.10]\t -- t: 006567 sigma: 0.4321 [S]\n",
      "Ep  389\tMaxAvg100: 0.02\tMax: 0.00 [-0.01,  0.00]\t -- t: 006583 sigma: 0.4317 [S]\n",
      "Ep  390\tMaxAvg100: 0.02\tMax: 0.00 [ 0.00, -0.01]\t -- t: 006599 sigma: 0.4314 [S]\n",
      "Ep  391\tMaxAvg100: 0.02\tMax: 0.00 [-0.01,  0.00]\t -- t: 006613 sigma: 0.4311 [S]\n",
      "Ep  392\tMaxAvg100: 0.02\tMax: 0.00 [-0.01,  0.00]\t -- t: 006627 sigma: 0.4308 [S]\n",
      "Ep  393\tMaxAvg100: 0.02\tMax: 0.00 [-0.01,  0.00]\t -- t: 006641 sigma: 0.4305 [S]\n",
      "Ep  394\tMaxAvg100: 0.02\tMax: 0.00 [ 0.00, -0.01]\t -- t: 006654 sigma: 0.4302 [S]\n",
      "Ep  395\tMaxAvg100: 0.02\tMax: 0.10 [ 0.10, -0.01]\t -- t: 006685 sigma: 0.4295 [S]\n",
      "Ep  396\tMaxAvg100: 0.02\tMax: 0.00 [-0.01,  0.00]\t -- t: 006699 sigma: 0.4292 [S]\n",
      "Ep  397\tMaxAvg100: 0.02\tMax: 0.00 [-0.01,  0.00]\t -- t: 006712 sigma: 0.4289 [S]\n",
      "Ep  398\tMaxAvg100: 0.02\tMax: 0.00 [ 0.00, -0.01]\t -- t: 006726 sigma: 0.4286 [S]\n",
      "Ep  399\tMaxAvg100: 0.02\tMax: 0.00 [ 0.00, -0.01]\t -- t: 006741 sigma: 0.4283 [S]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Ep  400\tMaxAvg100: 0.02\tMax: 0.00 [-0.01,  0.00]\t -- t: 006756 sigma: 0.4280 [S]\n",
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      "Ep  418\tMaxAvg100: 0.02\tMax: 0.00 [-0.01,  0.00]\t -- t: 007172 sigma: 0.4192 [S]\n",
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      "Ep  420\tMaxAvg100: 0.02\tMax: 0.10 [ 0.10,  0.09]\t -- t: 007238 sigma: 0.4178 [S]\n",
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      "Ep  424\tMaxAvg100: 0.02\tMax: 0.00 [-0.01,  0.00]\t -- t: 007313 sigma: 0.4162 \n",
      "Ep  425\tMaxAvg100: 0.02\tMax: 0.00 [ 0.00, -0.01]\t -- t: 007327 sigma: 0.4160 \n",
      "Ep  426\tMaxAvg100: 0.02\tMax: 0.00 [ 0.00, -0.01]\t -- t: 007341 sigma: 0.4157 \n",
      "Ep  427\tMaxAvg100: 0.02\tMax: 0.00 [-0.01,  0.00]\t -- t: 007356 sigma: 0.4153 \n",
      "Ep  428\tMaxAvg100: 0.02\tMax: 0.00 [ 0.00, -0.01]\t -- t: 007370 sigma: 0.4151 \n",
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      "Ep  430\tMaxAvg100: 0.02\tMax: 0.00 [ 0.00, -0.01]\t -- t: 007416 sigma: 0.4141 \n",
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      "Ep  480\tMaxAvg100: 0.03\tMax: 0.09 [ 0.00,  0.09]\t -- t: 008616 sigma: 0.3900 [S]\n",
      "Ep  481\tMaxAvg100: 0.03\tMax: 0.10 [-0.01,  0.10]\t -- t: 008641 sigma: 0.3895 [S]\n",
      "Ep  482\tMaxAvg100: 0.03\tMax: 0.10 [ 0.10, -0.01]\t -- t: 008688 sigma: 0.3886 [S]\n",
      "Ep  483\tMaxAvg100: 0.03\tMax: 0.10 [ 0.10, -0.01]\t -- t: 008719 sigma: 0.3880 [S]\n",
      "Ep  484\tMaxAvg100: 0.03\tMax: 0.09 [ 0.00,  0.09]\t -- t: 008750 sigma: 0.3874 [S]\n",
      "Ep  485\tMaxAvg100: 0.03\tMax: 0.09 [ 0.00,  0.09]\t -- t: 008779 sigma: 0.3868 [S]\n",
      "Ep  486\tMaxAvg100: 0.03\tMax: 0.10 [ 0.10, -0.01]\t -- t: 008810 sigma: 0.3862 [S]\n",
      "Ep  487\tMaxAvg100: 0.03\tMax: 0.00 [-0.01,  0.00]\t -- t: 008824 sigma: 0.3860 [S]\n",
      "Ep  488\tMaxAvg100: 0.03\tMax: 0.10 [-0.01,  0.10]\t -- t: 008855 sigma: 0.3854 [S]\n",
      "Ep  489\tMaxAvg100: 0.03\tMax: 0.10 [ 0.09,  0.10]\t -- t: 008907 sigma: 0.3844 [S]\n",
      "Ep  490\tMaxAvg100: 0.03\tMax: 0.10 [ 0.10, -0.01]\t -- t: 008937 sigma: 0.3838 [S]\n",
      "Ep  491\tMaxAvg100: 0.03\tMax: 0.00 [-0.01,  0.00]\t -- t: 008951 sigma: 0.3835 [S]\n",
      "Ep  492\tMaxAvg100: 0.03\tMax: 0.00 [-0.01,  0.00]\t -- t: 008965 sigma: 0.3832 [S]\n",
      "Ep  493\tMaxAvg100: 0.03\tMax: 0.10 [-0.01,  0.10]\t -- t: 008993 sigma: 0.3827 [S]\n",
      "Ep  494\tMaxAvg100: 0.03\tMax: 0.10 [-0.01,  0.10]\t -- t: 009024 sigma: 0.3821 [S]\n",
      "Ep  495\tMaxAvg100: 0.03\tMax: 0.10 [ 0.10, -0.01]\t -- t: 009054 sigma: 0.3815 [S]\n",
      "Ep  496\tMaxAvg100: 0.03\tMax: 0.10 [ 0.09,  0.10]\t -- t: 009105 sigma: 0.3806 [S]\n",
      "Ep  497\tMaxAvg100: 0.03\tMax: 0.00 [ 0.00, -0.01]\t -- t: 009119 sigma: 0.3803 [S]\n",
      "Ep  498\tMaxAvg100: 0.03\tMax: 0.00 [-0.01,  0.00]\t -- t: 009133 sigma: 0.3800 [S]\n",
      "Ep  499\tMaxAvg100: 0.03\tMax: 0.00 [-0.01,  0.00]\t -- t: 009147 sigma: 0.3798 [S]\n",
      "Ep  500\tMaxAvg100: 0.03\tMax: 0.00 [-0.01,  0.00]\t -- t: 009161 sigma: 0.3795 [S]\n",
      "Ep  501\tMaxAvg100: 0.03\tMax: 0.00 [ 0.00, -0.01]\t -- t: 009175 sigma: 0.3792 [S]\n",
      "Ep  502\tMaxAvg100: 0.03\tMax: 0.10 [-0.01,  0.10]\t -- t: 009207 sigma: 0.3786 \n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Ep  503\tMaxAvg100: 0.03\tMax: 0.10 [-0.01,  0.10]\t -- t: 009237 sigma: 0.3781 [S]\n",
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      "Ep  510\tMaxAvg100: 0.04\tMax: 0.09 [ 0.00,  0.09]\t -- t: 009400 sigma: 0.3750 [S]\n",
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      "Ep  515\tMaxAvg100: 0.04\tMax: 0.10 [ 0.10, -0.01]\t -- t: 009541 sigma: 0.3724 [S]\n",
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      "Ep  519\tMaxAvg100: 0.04\tMax: 0.00 [-0.01,  0.00]\t -- t: 009629 sigma: 0.3707 [S]\n",
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      "Ep  521\tMaxAvg100: 0.04\tMax: 0.00 [ 0.00, -0.01]\t -- t: 009675 sigma: 0.3699 [S]\n",
      "Ep  522\tMaxAvg100: 0.04\tMax: 0.10 [ 0.10,  0.09]\t -- t: 009721 sigma: 0.3690 \n",
      "Ep  523\tMaxAvg100: 0.04\tMax: 0.10 [ 0.10,  0.09]\t -- t: 009765 sigma: 0.3682 [S]\n",
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      "Ep  526\tMaxAvg100: 0.04\tMax: 0.09 [ 0.00,  0.09]\t -- t: 009838 sigma: 0.3669 [S]\n",
      "Ep  527\tMaxAvg100: 0.04\tMax: 0.00 [-0.01,  0.00]\t -- t: 009852 sigma: 0.3666 [S]\n",
      "Ep  528\tMaxAvg100: 0.04\tMax: 0.00 [ 0.00, -0.01]\t -- t: 009866 sigma: 0.3664 [S]\n",
      "Ep  529\tMaxAvg100: 0.04\tMax: 0.10 [ 0.10, -0.01]\t -- t: 009897 sigma: 0.3658 [S]\n",
      "Ep  530\tMaxAvg100: 0.04\tMax: 0.10 [ 0.10,  0.09]\t -- t: 009949 sigma: 0.3648 [S]\n",
      "Ep  531\tMaxAvg100: 0.04\tMax: 0.00 [ 0.00, -0.01]\t -- t: 009963 sigma: 0.3646 [S]\n",
      "Ep  532\tMaxAvg100: 0.04\tMax: 0.00 [ 0.00, -0.01]\t -- t: 009977 sigma: 0.3643 [S]\n",
      "Ep  533\tMaxAvg100: 0.04\tMax: 0.00 [-0.01,  0.00]\t -- t: 009991 sigma: 0.3641 [S]\n",
      "Ep  534\tMaxAvg100: 0.04\tMax: 0.00 [ 0.00, -0.01]\t -- t: 010005 sigma: 0.3638 [S]\n",
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      "Ep  536\tMaxAvg100: 0.04\tMax: 0.00 [-0.01,  0.00]\t -- t: 010035 sigma: 0.3633 \n",
      "Ep  537\tMaxAvg100: 0.04\tMax: 0.10 [ 0.10, -0.02]\t -- t: 010087 sigma: 0.3623 \n",
      "Ep  538\tMaxAvg100: 0.04\tMax: 0.10 [ 0.10, -0.01]\t -- t: 010123 sigma: 0.3617 \n",
      "Ep  539\tMaxAvg100: 0.04\tMax: 0.10 [ 0.09,  0.10]\t -- t: 010179 sigma: 0.3607 [S]\n",
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      "Ep  541\tMaxAvg100: 0.04\tMax: 0.09 [ 0.00,  0.09]\t -- t: 010262 sigma: 0.3592 [S]\n",
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      "Ep  558\tMaxAvg100: 0.05\tMax: 0.10 [ 0.10, -0.01]\t -- t: 010717 sigma: 0.3511 [S]\n",
      "Ep  559\tMaxAvg100: 0.05\tMax: 0.00 [ 0.00, -0.01]\t -- t: 010736 sigma: 0.3508 [S]\n",
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      "Ep  561\tMaxAvg100: 0.05\tMax: 0.10 [ 0.09,  0.10]\t -- t: 010824 sigma: 0.3492 \n",
      "Ep  562\tMaxAvg100: 0.05\tMax: 0.10 [ 0.10, -0.01]\t -- t: 010854 sigma: 0.3487 [S]\n",
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      "Ep  569\tMaxAvg100: 0.05\tMax: 0.10 [ 0.10, -0.01]\t -- t: 011020 sigma: 0.3458 \n",
      "Ep  570\tMaxAvg100: 0.05\tMax: 0.10 [-0.01,  0.10]\t -- t: 011049 sigma: 0.3453 [S]\n",
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      "Ep  573\tMaxAvg100: 0.05\tMax: 0.10 [ 0.10, -0.01]\t -- t: 011141 sigma: 0.3437 [S]\n",
      "Ep  574\tMaxAvg100: 0.05\tMax: 0.00 [-0.01,  0.00]\t -- t: 011156 sigma: 0.3435 [S]\n",
      "Ep  575\tMaxAvg100: 0.05\tMax: 0.09 [ 0.00,  0.09]\t -- t: 011186 sigma: 0.3430 \n",
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      "Ep  578\tMaxAvg100: 0.05\tMax: 0.10 [ 0.10, -0.01]\t -- t: 011279 sigma: 0.3414 \n",
      "Ep  579\tMaxAvg100: 0.05\tMax: 0.00 [-0.01,  0.00]\t -- t: 011295 sigma: 0.3411 \n",
      "Ep  580\tMaxAvg100: 0.05\tMax: 0.00 [ 0.00, -0.01]\t -- t: 011318 sigma: 0.3407 \n",
      "Ep  581\tMaxAvg100: 0.05\tMax: 0.10 [-0.01,  0.10]\t -- t: 011369 sigma: 0.3398 \n",
      "Ep  582\tMaxAvg100: 0.05\tMax: 0.10 [ 0.10, -0.01]\t -- t: 011399 sigma: 0.3393 \n",
      "Ep  583\tMaxAvg100: 0.05\tMax: 0.10 [ 0.10, -0.01]\t -- t: 011430 sigma: 0.3388 \n",
      "Ep  584\tMaxAvg100: 0.05\tMax: 0.10 [ 0.10, -0.01]\t -- t: 011481 sigma: 0.3379 \n",
      "Ep  585\tMaxAvg100: 0.05\tMax: 0.09 [ 0.00,  0.09]\t -- t: 011512 sigma: 0.3374 \n",
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      "Ep  587\tMaxAvg100: 0.05\tMax: 0.10 [ 0.10, -0.01]\t -- t: 011558 sigma: 0.3366 \n",
      "Ep  588\tMaxAvg100: 0.05\tMax: 0.10 [-0.01,  0.10]\t -- t: 011588 sigma: 0.3361 \n",
      "Ep  589\tMaxAvg100: 0.05\tMax: 0.10 [-0.01,  0.10]\t -- t: 011641 sigma: 0.3352 \n",
      "Ep  590\tMaxAvg100: 0.05\tMax: 0.10 [ 0.10, -0.01]\t -- t: 011672 sigma: 0.3347 \n",
      "Ep  591\tMaxAvg100: 0.05\tMax: 0.00 [ 0.00, -0.01]\t -- t: 011686 sigma: 0.3345 \n",
      "Ep  592\tMaxAvg100: 0.05\tMax: 0.10 [ 0.10, -0.01]\t -- t: 011717 sigma: 0.3340 [S]\n",
      "Ep  593\tMaxAvg100: 0.05\tMax: 0.00 [ 0.00, -0.01]\t -- t: 011731 sigma: 0.3337 [S]\n",
      "Ep  594\tMaxAvg100: 0.05\tMax: 0.10 [ 0.10, -0.01]\t -- t: 011763 sigma: 0.3332 \n",
      "Ep  595\tMaxAvg100: 0.05\tMax: 0.10 [-0.01,  0.10]\t -- t: 011795 sigma: 0.3327 \n",
      "Ep  596\tMaxAvg100: 0.05\tMax: 0.10 [ 0.10, -0.01]\t -- t: 011846 sigma: 0.3318 \n",
      "Ep  597\tMaxAvg100: 0.05\tMax: 0.00 [-0.01,  0.00]\t -- t: 011860 sigma: 0.3316 \n",
      "Ep  598\tMaxAvg100: 0.05\tMax: 0.00 [ 0.00, -0.01]\t -- t: 011874 sigma: 0.3314 \n",
      "Ep  599\tMaxAvg100: 0.05\tMax: 0.00 [-0.01,  0.00]\t -- t: 011888 sigma: 0.3311 [S]\n",
      "Ep  600\tMaxAvg100: 0.05\tMax: 0.10 [ 0.10,  0.09]\t -- t: 011939 sigma: 0.3303 [S]\n",
      "Ep  601\tMaxAvg100: 0.05\tMax: 0.10 [ 0.10, -0.01]\t -- t: 011969 sigma: 0.3298 [S]\n",
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      "Ep  603\tMaxAvg100: 0.05\tMax: 0.20 [ 0.20,  0.09]\t -- t: 012092 sigma: 0.3278 [S]\n",
      "Ep  604\tMaxAvg100: 0.05\tMax: 0.09 [ 0.00,  0.09]\t -- t: 012121 sigma: 0.3273 [S]\n",
      "Ep  605\tMaxAvg100: 0.05\tMax: 0.10 [ 0.10, -0.01]\t -- t: 012152 sigma: 0.3268 [S]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Ep  606\tMaxAvg100: 0.05\tMax: 0.10 [ 0.10, -0.01]\t -- t: 012182 sigma: 0.3263 [S]\n",
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      "Ep  619\tMaxAvg100: 0.06\tMax: 0.20 [ 0.20,  0.09]\t -- t: 012701 sigma: 0.3179 [S]\n",
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      "Ep  628\tMaxAvg100: 0.06\tMax: 0.10 [ 0.10, -0.01]\t -- t: 013002 sigma: 0.3132 [S]\n",
      "Ep  629\tMaxAvg100: 0.06\tMax: 0.10 [ 0.10, -0.01]\t -- t: 013033 sigma: 0.3127 [S]\n",
      "Ep  630\tMaxAvg100: 0.06\tMax: 0.10 [ 0.10, -0.01]\t -- t: 013057 sigma: 0.3123 [S]\n",
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      "Ep  635\tMaxAvg100: 0.06\tMax: 0.10 [ 0.10, -0.01]\t -- t: 013254 sigma: 0.3093 [S]\n",
      "Ep  636\tMaxAvg100: 0.06\tMax: 0.00 [-0.01,  0.00]\t -- t: 013268 sigma: 0.3091 [S]\n",
      "Ep  637\tMaxAvg100: 0.06\tMax: 0.00 [ 0.00, -0.01]\t -- t: 013282 sigma: 0.3088 [S]\n",
      "Ep  638\tMaxAvg100: 0.06\tMax: 0.00 [-0.01,  0.00]\t -- t: 013296 sigma: 0.3086 \n",
      "Ep  639\tMaxAvg100: 0.06\tMax: 0.10 [ 0.10, -0.01]\t -- t: 013326 sigma: 0.3082 \n",
      "Ep  640\tMaxAvg100: 0.06\tMax: 0.09 [ 0.00,  0.09]\t -- t: 013356 sigma: 0.3077 \n",
      "Ep  641\tMaxAvg100: 0.06\tMax: 0.10 [-0.01,  0.10]\t -- t: 013387 sigma: 0.3072 \n",
      "Ep  642\tMaxAvg100: 0.06\tMax: 0.10 [-0.01,  0.10]\t -- t: 013418 sigma: 0.3067 \n",
      "Ep  643\tMaxAvg100: 0.07\tMax: 0.10 [ 0.10, -0.01]\t -- t: 013449 sigma: 0.3063 [S]\n",
      "Ep  644\tMaxAvg100: 0.07\tMax: 0.10 [ 0.10, -0.01]\t -- t: 013482 sigma: 0.3058 [S]\n",
      "Ep  645\tMaxAvg100: 0.07\tMax: 0.10 [ 0.10, -0.01]\t -- t: 013516 sigma: 0.3052 \n",
      "Ep  646\tMaxAvg100: 0.07\tMax: 0.00 [-0.01,  0.00]\t -- t: 013534 sigma: 0.3050 \n",
      "Ep  647\tMaxAvg100: 0.07\tMax: 0.10 [ 0.10,  0.09]\t -- t: 013588 sigma: 0.3041 \n",
      "Ep  648\tMaxAvg100: 0.07\tMax: 0.10 [ 0.10, -0.01]\t -- t: 013619 sigma: 0.3037 \n",
      "Ep  649\tMaxAvg100: 0.07\tMax: 0.10 [ 0.10, -0.01]\t -- t: 013642 sigma: 0.3033 [S]\n",
      "Ep  650\tMaxAvg100: 0.07\tMax: 0.10 [-0.01,  0.10]\t -- t: 013673 sigma: 0.3029 [S]\n",
      "Ep  651\tMaxAvg100: 0.07\tMax: 0.10 [-0.01,  0.10]\t -- t: 013744 sigma: 0.3018 [S]\n",
      "Ep  652\tMaxAvg100: 0.07\tMax: 0.20 [ 0.20,  0.09]\t -- t: 013833 sigma: 0.3004 [S]\n",
      "Ep  653\tMaxAvg100: 0.07\tMax: 0.10 [ 0.10, -0.01]\t -- t: 013864 sigma: 0.3000 [S]\n",
      "Ep  654\tMaxAvg100: 0.07\tMax: 0.10 [ 0.10, -0.01]\t -- t: 013897 sigma: 0.2995 [S]\n",
      "Ep  655\tMaxAvg100: 0.07\tMax: 0.10 [ 0.10,  0.09]\t -- t: 013936 sigma: 0.2989 [S]\n",
      "Ep  656\tMaxAvg100: 0.07\tMax: 0.10 [-0.01,  0.10]\t -- t: 013968 sigma: 0.2984 [S]\n",
      "Ep  657\tMaxAvg100: 0.07\tMax: 0.09 [ 0.00,  0.09]\t -- t: 013998 sigma: 0.2980 [S]\n",
      "Ep  658\tMaxAvg100: 0.07\tMax: 0.09 [ 0.00,  0.09]\t -- t: 014028 sigma: 0.2975 [S]\n",
      "Ep  659\tMaxAvg100: 0.07\tMax: 0.40 [ 0.40,  0.29]\t -- t: 014176 sigma: 0.2953 [S]\n",
      "Ep  660\tMaxAvg100: 0.07\tMax: 0.09 [ 0.00,  0.09]\t -- t: 014207 sigma: 0.2949 [S]\n",
      "Ep  661\tMaxAvg100: 0.07\tMax: 0.00 [ 0.00, -0.01]\t -- t: 014221 sigma: 0.2947 [S]\n",
      "Ep  662\tMaxAvg100: 0.07\tMax: 0.10 [ 0.10, -0.01]\t -- t: 014251 sigma: 0.2942 \n",
      "Ep  663\tMaxAvg100: 0.07\tMax: 0.09 [ 0.00,  0.09]\t -- t: 014282 sigma: 0.2938 \n",
      "Ep  664\tMaxAvg100: 0.07\tMax: 0.10 [ 0.10, -0.01]\t -- t: 014313 sigma: 0.2933 \n",
      "Ep  665\tMaxAvg100: 0.07\tMax: 0.00 [-0.01,  0.00]\t -- t: 014327 sigma: 0.2931 \n",
      "Ep  666\tMaxAvg100: 0.07\tMax: 0.10 [ 0.10, -0.01]\t -- t: 014358 sigma: 0.2927 [S]\n",
      "Ep  667\tMaxAvg100: 0.07\tMax: 0.10 [ 0.10,  0.09]\t -- t: 014410 sigma: 0.2919 [S]\n",
      "Ep  668\tMaxAvg100: 0.07\tMax: 0.10 [-0.01,  0.10]\t -- t: 014442 sigma: 0.2914 [S]\n",
      "Ep  669\tMaxAvg100: 0.07\tMax: 0.10 [ 0.10,  0.09]\t -- t: 014498 sigma: 0.2906 [S]\n",
      "Ep  670\tMaxAvg100: 0.07\tMax: 0.09 [ 0.00,  0.09]\t -- t: 014529 sigma: 0.2902 [S]\n",
      "Ep  671\tMaxAvg100: 0.07\tMax: 0.00 [-0.01,  0.00]\t -- t: 014543 sigma: 0.2900 [S]\n",
      "Ep  672\tMaxAvg100: 0.07\tMax: 0.10 [ 0.10, -0.01]\t -- t: 014574 sigma: 0.2895 \n",
      "Ep  673\tMaxAvg100: 0.07\tMax: 0.10 [ 0.10, -0.01]\t -- t: 014604 sigma: 0.2891 \n",
      "Ep  674\tMaxAvg100: 0.07\tMax: 0.00 [ 0.00, -0.01]\t -- t: 014618 sigma: 0.2889 \n",
      "Ep  675\tMaxAvg100: 0.07\tMax: 0.09 [ 0.00,  0.09]\t -- t: 014649 sigma: 0.2884 \n",
      "Ep  676\tMaxAvg100: 0.07\tMax: 0.10 [-0.01,  0.10]\t -- t: 014680 sigma: 0.2880 [S]\n",
      "Ep  677\tMaxAvg100: 0.07\tMax: 0.10 [ 0.10, -0.01]\t -- t: 014710 sigma: 0.2876 [S]\n",
      "Ep  678\tMaxAvg100: 0.07\tMax: 0.19 [ 0.10,  0.19]\t -- t: 014780 sigma: 0.2865 [S]\n",
      "Ep  679\tMaxAvg100: 0.07\tMax: 0.10 [ 0.10,  0.09]\t -- t: 014833 sigma: 0.2858 [S]\n",
      "Ep  680\tMaxAvg100: 0.08\tMax: 0.00 [ 0.00, -0.01]\t -- t: 014847 sigma: 0.2856 [S]\n",
      "Ep  681\tMaxAvg100: 0.08\tMax: 0.09 [ 0.00,  0.09]\t -- t: 014877 sigma: 0.2852 [S]\n",
      "Ep  682\tMaxAvg100: 0.08\tMax: 0.10 [ 0.09,  0.10]\t -- t: 014948 sigma: 0.2842 [S]\n",
      "Ep  683\tMaxAvg100: 0.08\tMax: 0.09 [ 0.00,  0.09]\t -- t: 014978 sigma: 0.2837 [S]\n",
      "Ep  684\tMaxAvg100: 0.08\tMax: 0.10 [-0.01,  0.10]\t -- t: 015010 sigma: 0.2833 [S]\n",
      "Ep  685\tMaxAvg100: 0.08\tMax: 0.20 [ 0.20,  0.09]\t -- t: 015101 sigma: 0.2820 [S]\n",
      "Ep  686\tMaxAvg100: 0.08\tMax: 0.20 [ 0.20,  0.09]\t -- t: 015172 sigma: 0.2810 [S]\n",
      "Ep  687\tMaxAvg100: 0.08\tMax: 0.00 [-0.01,  0.00]\t -- t: 015186 sigma: 0.2808 [S]\n",
      "Ep  688\tMaxAvg100: 0.08\tMax: 0.10 [-0.01,  0.10]\t -- t: 015217 sigma: 0.2804 \n",
      "Ep  689\tMaxAvg100: 0.08\tMax: 0.10 [-0.01,  0.10]\t -- t: 015248 sigma: 0.2799 \n",
      "Ep  690\tMaxAvg100: 0.08\tMax: 0.10 [ 0.10, -0.01]\t -- t: 015278 sigma: 0.2795 \n",
      "Ep  691\tMaxAvg100: 0.08\tMax: 0.00 [ 0.00, -0.01]\t -- t: 015291 sigma: 0.2793 [S]\n",
      "Ep  692\tMaxAvg100: 0.08\tMax: 0.09 [ 0.00,  0.09]\t -- t: 015321 sigma: 0.2789 [S]\n",
      "Ep  693\tMaxAvg100: 0.08\tMax: 0.10 [ 0.10, -0.01]\t -- t: 015352 sigma: 0.2785 [S]\n",
      "Ep  694\tMaxAvg100: 0.08\tMax: 0.10 [ 0.09,  0.10]\t -- t: 015404 sigma: 0.2777 [S]\n",
      "Ep  695\tMaxAvg100: 0.08\tMax: 0.09 [ 0.00,  0.09]\t -- t: 015435 sigma: 0.2773 [S]\n",
      "Ep  696\tMaxAvg100: 0.08\tMax: 0.10 [ 0.10, -0.01]\t -- t: 015466 sigma: 0.2769 [S]\n",
      "Ep  697\tMaxAvg100: 0.08\tMax: 0.10 [ 0.10, -0.01]\t -- t: 015497 sigma: 0.2765 [S]\n",
      "Ep  698\tMaxAvg100: 0.08\tMax: 0.10 [ 0.10, -0.01]\t -- t: 015528 sigma: 0.2760 [S]\n",
      "Ep  699\tMaxAvg100: 0.08\tMax: 0.10 [ 0.10, -0.01]\t -- t: 015558 sigma: 0.2756 [S]\n",
      "Ep  700\tMaxAvg100: 0.08\tMax: 0.10 [-0.01,  0.10]\t -- t: 015589 sigma: 0.2752 [S]\n",
      "Ep  701\tMaxAvg100: 0.08\tMax: 0.09 [ 0.00,  0.09]\t -- t: 015619 sigma: 0.2748 [S]\n",
      "Ep  702\tMaxAvg100: 0.08\tMax: 0.00 [-0.01,  0.00]\t -- t: 015634 sigma: 0.2746 [S]\n",
      "Ep  703\tMaxAvg100: 0.08\tMax: 0.10 [-0.01,  0.10]\t -- t: 015665 sigma: 0.2741 \n",
      "Ep  704\tMaxAvg100: 0.08\tMax: 0.10 [ 0.09,  0.10]\t -- t: 015726 sigma: 0.2733 \n",
      "Ep  705\tMaxAvg100: 0.08\tMax: 0.10 [-0.01,  0.10]\t -- t: 015757 sigma: 0.2729 \n",
      "Ep  706\tMaxAvg100: 0.08\tMax: 0.20 [ 0.20,  0.09]\t -- t: 015841 sigma: 0.2717 \n",
      "Ep  707\tMaxAvg100: 0.08\tMax: 0.09 [ 0.00,  0.09]\t -- t: 015871 sigma: 0.2713 [S]\n",
      "Ep  708\tMaxAvg100: 0.08\tMax: 0.20 [ 0.20,  0.09]\t -- t: 015942 sigma: 0.2704 [S]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Ep  709\tMaxAvg100: 0.08\tMax: 0.10 [ 0.10, -0.01]\t -- t: 015972 sigma: 0.2700 [S]\n",
      "Ep  710\tMaxAvg100: 0.08\tMax: 0.10 [-0.01,  0.10]\t -- t: 016004 sigma: 0.2695 [S]\n",
      "Ep  711\tMaxAvg100: 0.08\tMax: 0.09 [ 0.00,  0.09]\t -- t: 016034 sigma: 0.2691 [S]\n",
      "Ep  712\tMaxAvg100: 0.08\tMax: 0.00 [ 0.00, -0.01]\t -- t: 016049 sigma: 0.2689 [S]\n",
      "Ep  713\tMaxAvg100: 0.08\tMax: 0.00 [-0.01,  0.00]\t -- t: 016062 sigma: 0.2688 \n",
      "Ep  714\tMaxAvg100: 0.08\tMax: 0.10 [ 0.10, -0.01]\t -- t: 016093 sigma: 0.2683 \n",
      "Ep  715\tMaxAvg100: 0.08\tMax: 0.10 [ 0.10,  0.09]\t -- t: 016149 sigma: 0.2676 \n",
      "Ep  716\tMaxAvg100: 0.08\tMax: 0.30 [ 0.30,  0.09]\t -- t: 016237 sigma: 0.2664 \n",
      "Ep  717\tMaxAvg100: 0.08\tMax: 0.10 [ 0.10, -0.01]\t -- t: 016268 sigma: 0.2660 [S]\n",
      "Ep  718\tMaxAvg100: 0.08\tMax: 0.10 [ 0.10, -0.01]\t -- t: 016298 sigma: 0.2656 [S]\n",
      "Ep  719\tMaxAvg100: 0.08\tMax: 0.10 [ 0.10, -0.01]\t -- t: 016329 sigma: 0.2652 [S]\n",
      "Ep  720\tMaxAvg100: 0.08\tMax: 0.10 [ 0.10, -0.01]\t -- t: 016360 sigma: 0.2648 \n",
      "Ep  721\tMaxAvg100: 0.08\tMax: 0.00 [ 0.00, -0.01]\t -- t: 016374 sigma: 0.2646 \n",
      "Ep  722\tMaxAvg100: 0.08\tMax: 0.09 [ 0.00,  0.09]\t -- t: 016404 sigma: 0.2642 \n",
      "Ep  723\tMaxAvg100: 0.08\tMax: 0.10 [ 0.09,  0.10]\t -- t: 016457 sigma: 0.2635 \n",
      "Ep  724\tMaxAvg100: 0.08\tMax: 0.10 [ 0.10, -0.01]\t -- t: 016485 sigma: 0.2631 \n",
      "Ep  725\tMaxAvg100: 0.08\tMax: 0.00 [-0.01,  0.00]\t -- t: 016499 sigma: 0.2629 [S]\n",
      "Ep  726\tMaxAvg100: 0.08\tMax: 0.10 [-0.01,  0.10]\t -- t: 016529 sigma: 0.2626 \n",
      "Ep  727\tMaxAvg100: 0.08\tMax: 0.10 [ 0.10, -0.01]\t -- t: 016559 sigma: 0.2622 \n",
      "Ep  728\tMaxAvg100: 0.08\tMax: 0.10 [-0.01,  0.10]\t -- t: 016590 sigma: 0.2618 \n",
      "Ep  729\tMaxAvg100: 0.08\tMax: 0.10 [-0.01,  0.10]\t -- t: 016614 sigma: 0.2614 \n",
      "Ep  730\tMaxAvg100: 0.08\tMax: 0.09 [ 0.00,  0.09]\t -- t: 016644 sigma: 0.2610 [S]\n",
      "Ep  731\tMaxAvg100: 0.08\tMax: 0.10 [ 0.10, -0.01]\t -- t: 016677 sigma: 0.2606 [S]\n",
      "Ep  732\tMaxAvg100: 0.08\tMax: 0.00 [-0.01,  0.00]\t -- t: 016691 sigma: 0.2604 [S]\n",
      "Ep  733\tMaxAvg100: 0.08\tMax: 0.09 [ 0.00,  0.09]\t -- t: 016721 sigma: 0.2600 \n",
      "Ep  734\tMaxAvg100: 0.08\tMax: 0.00 [-0.01,  0.00]\t -- t: 016735 sigma: 0.2599 \n",
      "Ep  735\tMaxAvg100: 0.08\tMax: 0.10 [ 0.10, -0.01]\t -- t: 016765 sigma: 0.2595 \n",
      "Ep  736\tMaxAvg100: 0.08\tMax: 0.00 [-0.01,  0.00]\t -- t: 016780 sigma: 0.2593 \n",
      "Ep  737\tMaxAvg100: 0.08\tMax: 0.10 [ 0.10,  0.09]\t -- t: 016832 sigma: 0.2586 \n",
      "Ep  738\tMaxAvg100: 0.08\tMax: 0.10 [ 0.10, -0.01]\t -- t: 016887 sigma: 0.2579 [S]\n",
      "Ep  739\tMaxAvg100: 0.08\tMax: 0.10 [ 0.10, -0.01]\t -- t: 016918 sigma: 0.2575 [S]\n",
      "Ep  740\tMaxAvg100: 0.08\tMax: 0.10 [-0.01,  0.10]\t -- t: 016949 sigma: 0.2571 [S]\n",
      "Ep  741\tMaxAvg100: 0.08\tMax: 0.10 [ 0.10, -0.01]\t -- t: 017000 sigma: 0.2564 [S]\n",
      "Ep  742\tMaxAvg100: 0.09\tMax: 0.20 [ 0.09,  0.20]\t -- t: 017070 sigma: 0.2555 [S]\n",
      "Ep  743\tMaxAvg100: 0.09\tMax: 0.20 [ 0.20,  0.09]\t -- t: 017144 sigma: 0.2546 [S]\n",
      "Ep  744\tMaxAvg100: 0.09\tMax: 0.10 [-0.01,  0.10]\t -- t: 017174 sigma: 0.2542 [S]\n",
      "Ep  745\tMaxAvg100: 0.09\tMax: 0.10 [ 0.10, -0.01]\t -- t: 017205 sigma: 0.2538 [S]\n",
      "Ep  746\tMaxAvg100: 0.09\tMax: 0.10 [ 0.10, -0.01]\t -- t: 017234 sigma: 0.2535 [S]\n",
      "Ep  747\tMaxAvg100: 0.09\tMax: 0.10 [ 0.10, -0.01]\t -- t: 017266 sigma: 0.2531 [S]\n",
      "Ep  748\tMaxAvg100: 0.09\tMax: 0.10 [ 0.10, -0.01]\t -- t: 017297 sigma: 0.2527 [S]\n",
      "Ep  749\tMaxAvg100: 0.09\tMax: 0.09 [ 0.00,  0.09]\t -- t: 017327 sigma: 0.2523 [S]\n",
      "Ep  750\tMaxAvg100: 0.09\tMax: 0.10 [ 0.10, -0.01]\t -- t: 017358 sigma: 0.2519 [S]\n",
      "Ep  751\tMaxAvg100: 0.09\tMax: 0.09 [ 0.00,  0.09]\t -- t: 017389 sigma: 0.2515 [S]\n",
      "Ep  752\tMaxAvg100: 0.09\tMax: 0.10 [-0.01,  0.10]\t -- t: 017420 sigma: 0.2511 [S]\n",
      "Ep  753\tMaxAvg100: 0.09\tMax: 0.00 [ 0.00, -0.01]\t -- t: 017434 sigma: 0.2509 \n",
      "Ep  754\tMaxAvg100: 0.09\tMax: 0.10 [-0.01,  0.10]\t -- t: 017465 sigma: 0.2505 \n",
      "Ep  755\tMaxAvg100: 0.09\tMax: 0.10 [ 0.10,  0.09]\t -- t: 017531 sigma: 0.2497 \n",
      "Ep  756\tMaxAvg100: 0.09\tMax: 0.10 [ 0.09,  0.10]\t -- t: 017583 sigma: 0.2491 \n",
      "Ep  757\tMaxAvg100: 0.09\tMax: 0.00 [ 0.00, -0.01]\t -- t: 017597 sigma: 0.2489 \n",
      "Ep  758\tMaxAvg100: 0.09\tMax: 0.09 [ 0.00,  0.09]\t -- t: 017628 sigma: 0.2485 \n",
      "Ep  759\tMaxAvg100: 0.09\tMax: 0.10 [-0.01,  0.10]\t -- t: 017659 sigma: 0.2481 \n",
      "Ep  760\tMaxAvg100: 0.09\tMax: 0.10 [ 0.09,  0.10]\t -- t: 017711 sigma: 0.2475 \n",
      "Ep  761\tMaxAvg100: 0.09\tMax: 0.10 [-0.01,  0.10]\t -- t: 017762 sigma: 0.2469 \n",
      "Ep  762\tMaxAvg100: 0.09\tMax: 0.20 [ 0.19,  0.20]\t -- t: 017853 sigma: 0.2457 \n",
      "Ep  763\tMaxAvg100: 0.09\tMax: 0.10 [ 0.09,  0.10]\t -- t: 017902 sigma: 0.2451 \n",
      "Ep  764\tMaxAvg100: 0.09\tMax: 0.09 [ 0.00,  0.09]\t -- t: 017932 sigma: 0.2448 \n",
      "Ep  765\tMaxAvg100: 0.09\tMax: 0.09 [ 0.00,  0.09]\t -- t: 017962 sigma: 0.2444 \n",
      "Ep  766\tMaxAvg100: 0.09\tMax: 0.10 [ 0.10, -0.01]\t -- t: 017992 sigma: 0.2440 \n",
      "Ep  767\tMaxAvg100: 0.09\tMax: 0.09 [ 0.00,  0.09]\t -- t: 018022 sigma: 0.2437 \n",
      "Ep  768\tMaxAvg100: 0.09\tMax: 0.10 [ 0.10, -0.01]\t -- t: 018053 sigma: 0.2433 \n",
      "Ep  769\tMaxAvg100: 0.09\tMax: 0.10 [ 0.10,  0.09]\t -- t: 018096 sigma: 0.2428 \n",
      "Ep  770\tMaxAvg100: 0.09\tMax: 0.00 [-0.01,  0.00]\t -- t: 018109 sigma: 0.2426 \n",
      "Ep  771\tMaxAvg100: 0.09\tMax: 0.10 [ 0.10, -0.01]\t -- t: 018141 sigma: 0.2422 \n",
      "Ep  772\tMaxAvg100: 0.09\tMax: 0.10 [ 0.10, -0.01]\t -- t: 018172 sigma: 0.2418 [S]\n",
      "Ep  773\tMaxAvg100: 0.09\tMax: 0.09 [ 0.00,  0.09]\t -- t: 018204 sigma: 0.2415 [S]\n",
      "Ep  774\tMaxAvg100: 0.09\tMax: 0.00 [ 0.00, -0.01]\t -- t: 018217 sigma: 0.2413 [S]\n",
      "Ep  775\tMaxAvg100: 0.09\tMax: 0.10 [ 0.10, -0.01]\t -- t: 018248 sigma: 0.2409 [S]\n",
      "Ep  776\tMaxAvg100: 0.09\tMax: 0.10 [ 0.10, -0.01]\t -- t: 018279 sigma: 0.2406 [S]\n",
      "Ep  777\tMaxAvg100: 0.09\tMax: 0.10 [ 0.09,  0.10]\t -- t: 018331 sigma: 0.2399 [S]\n",
      "Ep  778\tMaxAvg100: 0.09\tMax: 0.20 [ 0.09,  0.20]\t -- t: 018403 sigma: 0.2391 [S]\n",
      "Ep  779\tMaxAvg100: 0.09\tMax: 0.10 [ 0.10, -0.01]\t -- t: 018433 sigma: 0.2387 [S]\n",
      "Ep  780\tMaxAvg100: 0.09\tMax: 0.10 [ 0.10, -0.01]\t -- t: 018464 sigma: 0.2383 [S]\n",
      "Ep  781\tMaxAvg100: 0.09\tMax: 0.00 [-0.01,  0.00]\t -- t: 018478 sigma: 0.2382 [S]\n",
      "Ep  782\tMaxAvg100: 0.09\tMax: 0.10 [-0.01,  0.10]\t -- t: 018509 sigma: 0.2378 \n",
      "Ep  783\tMaxAvg100: 0.09\tMax: 0.20 [ 0.09,  0.20]\t -- t: 018580 sigma: 0.2370 \n",
      "Ep  784\tMaxAvg100: 0.09\tMax: 0.00 [-0.01,  0.00]\t -- t: 018594 sigma: 0.2368 [S]\n",
      "Ep  785\tMaxAvg100: 0.09\tMax: 0.30 [ 0.30,  0.19]\t -- t: 018701 sigma: 0.2355 \n",
      "Ep  786\tMaxAvg100: 0.09\tMax: 0.20 [ 0.19,  0.20]\t -- t: 018795 sigma: 0.2344 [S]\n",
      "Ep  787\tMaxAvg100: 0.09\tMax: 0.10 [ 0.10, -0.01]\t -- t: 018848 sigma: 0.2338 [S]\n",
      "Ep  788\tMaxAvg100: 0.09\tMax: 0.10 [ 0.10, -0.01]\t -- t: 018879 sigma: 0.2334 [S]\n",
      "Ep  789\tMaxAvg100: 0.09\tMax: 0.20 [ 0.20,  0.18]\t -- t: 018969 sigma: 0.2324 [S]\n",
      "Ep  790\tMaxAvg100: 0.09\tMax: 0.20 [ 0.09,  0.20]\t -- t: 019051 sigma: 0.2314 [S]\n",
      "Ep  791\tMaxAvg100: 0.09\tMax: 0.40 [ 0.40,  0.39]\t -- t: 019216 sigma: 0.2295 [S]\n",
      "Ep  792\tMaxAvg100: 0.09\tMax: 0.30 [ 0.19,  0.30]\t -- t: 019326 sigma: 0.2283 [S]\n",
      "Ep  793\tMaxAvg100: 0.09\tMax: 0.10 [ 0.09,  0.10]\t -- t: 019376 sigma: 0.2277 [S]\n",
      "Ep  794\tMaxAvg100: 0.09\tMax: 0.09 [ 0.00,  0.09]\t -- t: 019406 sigma: 0.2274 [S]\n",
      "Ep  795\tMaxAvg100: 0.09\tMax: 0.09 [ 0.00,  0.09]\t -- t: 019437 sigma: 0.2270 [S]\n",
      "Ep  796\tMaxAvg100: 0.09\tMax: 0.30 [ 0.30,  0.19]\t -- t: 019550 sigma: 0.2257 [S]\n",
      "Ep  797\tMaxAvg100: 0.10\tMax: 0.20 [ 0.20,  0.09]\t -- t: 019620 sigma: 0.2250 [S]\n",
      "Ep  798\tMaxAvg100: 0.10\tMax: 0.10 [ 0.09,  0.10]\t -- t: 019672 sigma: 0.2244 [S]\n",
      "Ep  799\tMaxAvg100: 0.10\tMax: 0.10 [-0.01,  0.10]\t -- t: 019703 sigma: 0.2240 [S]\n",
      "Ep  800\tMaxAvg100: 0.10\tMax: 0.30 [ 0.30,  0.19]\t -- t: 019812 sigma: 0.2228 [S]\n",
      "Ep  801\tMaxAvg100: 0.10\tMax: 0.10 [ 0.10,  0.09]\t -- t: 019865 sigma: 0.2222 [S]\n",
      "Ep  802\tMaxAvg100: 0.10\tMax: 0.40 [ 0.29,  0.40]\t -- t: 020011 sigma: 0.2206 [S]\n",
      "Ep  803\tMaxAvg100: 0.10\tMax: 0.10 [ 0.10, -0.01]\t -- t: 020041 sigma: 0.2203 [S]\n",
      "Ep  804\tMaxAvg100: 0.10\tMax: 0.10 [ 0.10, -0.01]\t -- t: 020071 sigma: 0.2199 [S]\n",
      "Ep  805\tMaxAvg100: 0.10\tMax: 0.40 [ 0.39,  0.40]\t -- t: 020233 sigma: 0.2182 [S]\n",
      "Ep  806\tMaxAvg100: 0.10\tMax: 0.10 [ 0.09,  0.10]\t -- t: 020283 sigma: 0.2176 [S]\n",
      "Ep  807\tMaxAvg100: 0.10\tMax: 0.20 [ 0.20,  0.19]\t -- t: 020373 sigma: 0.2166 \n",
      "Ep  808\tMaxAvg100: 0.10\tMax: 0.20 [ 0.19,  0.20]\t -- t: 020468 sigma: 0.2156 [S]\n",
      "Ep  809\tMaxAvg100: 0.10\tMax: 0.20 [ 0.20,  0.09]\t -- t: 020547 sigma: 0.2148 [S]\n",
      "Ep  810\tMaxAvg100: 0.10\tMax: 0.10 [ 0.10, -0.01]\t -- t: 020579 sigma: 0.2144 [S]\n",
      "Ep  811\tMaxAvg100: 0.10\tMax: 1.40 [ 1.40,  1.29]\t -- t: 021108 sigma: 0.2088 [S]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Ep  812\tMaxAvg100: 0.11\tMax: 0.10 [ 0.09,  0.10]\t -- t: 021159 sigma: 0.2083 [S]\n",
      "Ep  813\tMaxAvg100: 0.11\tMax: 0.10 [ 0.09,  0.10]\t -- t: 021211 sigma: 0.2078 [S]\n",
      "Ep  814\tMaxAvg100: 0.11\tMax: 0.10 [ 0.10, -0.01]\t -- t: 021242 sigma: 0.2074 [S]\n",
      "Ep  815\tMaxAvg100: 0.11\tMax: 0.30 [ 0.30,  0.19]\t -- t: 021348 sigma: 0.2063 [S]\n",
      "Ep  816\tMaxAvg100: 0.11\tMax: 0.10 [ 0.10, -0.01]\t -- t: 021379 sigma: 0.2060 [S]\n",
      "Ep  817\tMaxAvg100: 0.11\tMax: 0.60 [ 0.59,  0.60]\t -- t: 021641 sigma: 0.2033 \n",
      "Ep  818\tMaxAvg100: 0.11\tMax: 0.10 [ 0.09,  0.10]\t -- t: 021692 sigma: 0.2028 [S]\n",
      "Ep  819\tMaxAvg100: 0.11\tMax: 0.29 [ 0.20,  0.29]\t -- t: 021797 sigma: 0.2018 [S]\n",
      "Ep  820\tMaxAvg100: 0.11\tMax: 0.10 [ 0.10, -0.01]\t -- t: 021828 sigma: 0.2014 [S]\n",
      "Ep  821\tMaxAvg100: 0.11\tMax: 0.20 [ 0.09,  0.20]\t -- t: 021915 sigma: 0.2006 [S]\n",
      "Ep  822\tMaxAvg100: 0.12\tMax: 0.50 [ 0.50,  0.49]\t -- t: 022120 sigma: 0.1985 [S]\n",
      "Ep  823\tMaxAvg100: 0.12\tMax: 0.10 [-0.01,  0.10]\t -- t: 022145 sigma: 0.1983 [S]\n",
      "Ep  824\tMaxAvg100: 0.12\tMax: 0.10 [ 0.10, -0.01]\t -- t: 022176 sigma: 0.1980 [S]\n",
      "Ep  825\tMaxAvg100: 0.12\tMax: 0.50 [ 0.50,  0.39]\t -- t: 022362 sigma: 0.1961 [S]\n",
      "Ep  826\tMaxAvg100: 0.12\tMax: 0.10 [ 0.09,  0.10]\t -- t: 022413 sigma: 0.1956 [S]\n",
      "Ep  827\tMaxAvg100: 0.12\tMax: 0.20 [ 0.19,  0.20]\t -- t: 022503 sigma: 0.1948 [S]\n",
      "Ep  828\tMaxAvg100: 0.12\tMax: 1.00 [ 1.00,  0.89]\t -- t: 022875 sigma: 0.1912 [S]\n",
      "Ep  829\tMaxAvg100: 0.13\tMax: 0.50 [ 0.50,  0.49]\t -- t: 023107 sigma: 0.1890 [S]\n",
      "Ep  830\tMaxAvg100: 0.13\tMax: 1.90 [ 1.90,  1.79]\t -- t: 023844 sigma: 0.1821 [S]\n",
      "Ep  831\tMaxAvg100: 0.14\tMax: 0.30 [ 0.29,  0.30]\t -- t: 023965 sigma: 0.1810 [S]\n",
      "Ep  832\tMaxAvg100: 0.14\tMax: 1.90 [ 1.89,  1.90]\t -- t: 024707 sigma: 0.1744 [S]\n",
      "Ep  833\tMaxAvg100: 0.15\tMax: 0.70 [ 0.59,  0.70]\t -- t: 024968 sigma: 0.1722 [S]\n",
      "Ep  834\tMaxAvg100: 0.15\tMax: 0.10 [ 0.09,  0.10]\t -- t: 025019 sigma: 0.1717 [S]\n",
      "Ep  835\tMaxAvg100: 0.15\tMax: 0.10 [ 0.09,  0.10]\t -- t: 025071 sigma: 0.1713 [S]\n",
      "Ep  836\tMaxAvg100: 0.15\tMax: 0.80 [ 0.80,  0.69]\t -- t: 025372 sigma: 0.1687 [S]\n",
      "Ep  837\tMaxAvg100: 0.16\tMax: 0.40 [ 0.29,  0.40]\t -- t: 025520 sigma: 0.1675 [S]\n",
      "Ep  838\tMaxAvg100: 0.16\tMax: 0.80 [ 0.79,  0.80]\t -- t: 025840 sigma: 0.1648 [S]\n",
      "Ep  839\tMaxAvg100: 0.16\tMax: 0.50 [ 0.50,  0.39]\t -- t: 026025 sigma: 0.1633 [S]\n",
      "Ep  840\tMaxAvg100: 0.17\tMax: 0.10 [ 0.10, -0.01]\t -- t: 026055 sigma: 0.1631 [S]\n",
      "Ep  841\tMaxAvg100: 0.17\tMax: 1.10 [ 1.10,  1.09]\t -- t: 026490 sigma: 0.1596 [S]\n",
      "Ep  842\tMaxAvg100: 0.17\tMax: 0.20 [ 0.09,  0.20]\t -- t: 026560 sigma: 0.1590 [S]\n",
      "Ep  843\tMaxAvg100: 0.17\tMax: 0.50 [ 0.49,  0.50]\t -- t: 026764 sigma: 0.1574 [S]\n",
      "Ep  844\tMaxAvg100: 0.17\tMax: 0.20 [ 0.19,  0.20]\t -- t: 026854 sigma: 0.1567 [S]\n",
      "Ep  845\tMaxAvg100: 0.18\tMax: 0.10 [ 0.09,  0.10]\t -- t: 026905 sigma: 0.1563 [S]\n",
      "Ep  846\tMaxAvg100: 0.18\tMax: 0.10 [ 0.10,  0.09]\t -- t: 026948 sigma: 0.1559 [S]\n",
      "Ep  847\tMaxAvg100: 0.18\tMax: 0.20 [ 0.19,  0.20]\t -- t: 027037 sigma: 0.1553 [S]\n",
      "Ep  848\tMaxAvg100: 0.18\tMax: 0.80 [ 0.69,  0.80]\t -- t: 027337 sigma: 0.1529 [S]\n",
      "Ep  849\tMaxAvg100: 0.18\tMax: 0.20 [ 0.09,  0.20]\t -- t: 027407 sigma: 0.1524 [S]\n",
      "Ep  850\tMaxAvg100: 0.18\tMax: 0.10 [ 0.10,  0.09]\t -- t: 027459 sigma: 0.1520 [S]\n",
      "Ep  851\tMaxAvg100: 0.18\tMax: 1.40 [ 1.39,  1.40]\t -- t: 028004 sigma: 0.1479 [S]\n",
      "Ep  852\tMaxAvg100: 0.19\tMax: 0.20 [ 0.19,  0.20]\t -- t: 028093 sigma: 0.1473 [S]\n",
      "Ep  853\tMaxAvg100: 0.19\tMax: 2.60 [ 2.50,  2.60]\t -- t: 029094 sigma: 0.1401 [S]\n",
      "Ep  854\tMaxAvg100: 0.20\tMax: 0.20 [ 0.19,  0.20]\t -- t: 029165 sigma: 0.1396 [S]\n",
      "Ep  855\tMaxAvg100: 0.21\tMax: 0.90 [ 0.90,  0.79]\t -- t: 029501 sigma: 0.1373 [S]\n",
      "Ep  856\tMaxAvg100: 0.21\tMax: 2.60 [ 2.60,  2.50]\t -- t: 030502 sigma: 0.1306 [S]\n",
      "Ep  857\tMaxAvg100: 0.22\tMax: 2.70 [ 2.60,  2.70]\t -- t: 031503 sigma: 0.1242 [S]\n",
      "Ep  858\tMaxAvg100: 0.24\tMax: 0.00 [-0.01,  0.00]\t -- t: 031508 sigma: 0.1241 [S]\n",
      "Ep  859\tMaxAvg100: 0.24\tMax: 2.00 [ 2.00,  1.89]\t -- t: 032263 sigma: 0.1196 [S]\n",
      "Ep  860\tMaxAvg100: 0.25\tMax: 0.90 [ 0.90,  0.79]\t -- t: 032600 sigma: 0.1176 [S]\n",
      "Ep  861\tMaxAvg100: 0.25\tMax: 1.70 [ 1.70,  1.59]\t -- t: 033243 sigma: 0.1138 [S]\n",
      "Ep  862\tMaxAvg100: 0.26\tMax: 0.60 [ 0.60,  0.49]\t -- t: 033466 sigma: 0.1126 [S]\n",
      "Ep  863\tMaxAvg100: 0.26\tMax: 2.18 [ 2.18,  2.10]\t -- t: 034318 sigma: 0.1079 [S]\n",
      "Ep  864\tMaxAvg100: 0.28\tMax: 1.50 [ 1.50,  1.49]\t -- t: 034902 sigma: 0.1048 [S]\n",
      "Ep  865\tMaxAvg100: 0.28\tMax: 1.20 [ 1.20,  1.09]\t -- t: 035366 sigma: 0.1024 [S]\n",
      "Ep  866\tMaxAvg100: 0.29\tMax: 0.70 [ 0.70,  0.59]\t -- t: 035627 sigma: 0.1010 [S]\n",
      "Ep  867\tMaxAvg100: 0.29\tMax: 2.20 [ 2.20,  2.09]\t -- t: 036476 sigma: 0.0968 [S]\n",
      "Ep  868\tMaxAvg100: 0.31\tMax: 0.30 [ 0.29,  0.30]\t -- t: 036605 sigma: 0.0962 [S]\n",
      "Ep  869\tMaxAvg100: 0.31\tMax: 0.90 [ 0.90,  0.79]\t -- t: 036942 sigma: 0.0946 [S]\n",
      "Ep  870\tMaxAvg100: 0.31\tMax: 2.60 [ 2.60,  2.60]\t -- t: 037943 sigma: 0.0900 [S]\n",
      "Ep  871\tMaxAvg100: 0.33\tMax: 1.40 [ 1.39,  1.40]\t -- t: 038479 sigma: 0.0876 [S]\n",
      "Ep  872\tMaxAvg100: 0.33\tMax: 2.60 [ 2.60,  2.60]\t -- t: 039480 sigma: 0.0833 [S]\n",
      "Ep  873\tMaxAvg100: 0.35\tMax: 0.60 [ 0.59,  0.60]\t -- t: 039711 sigma: 0.0824 [S]\n",
      "Ep  874\tMaxAvg100: 0.35\tMax: 2.60 [ 2.60,  2.60]\t -- t: 040712 sigma: 0.0784 [S]\n",
      "Ep  875\tMaxAvg100: 0.37\tMax: 2.70 [ 2.70,  2.60]\t -- t: 041713 sigma: 0.0745 [S]\n",
      "Ep  876\tMaxAvg100: 0.38\tMax: 2.60 [ 2.60,  2.60]\t -- t: 042714 sigma: 0.0709 [S]\n",
      "Ep  877\tMaxAvg100: 0.40\tMax: 0.20 [ 0.09,  0.20]\t -- t: 042769 sigma: 0.0707 [S]\n",
      "Ep  878\tMaxAvg100: 0.40\tMax: 2.60 [ 2.60,  2.60]\t -- t: 043770 sigma: 0.0672 [S]\n",
      "Ep  879\tMaxAvg100: 0.41\tMax: 2.70 [ 2.70,  2.60]\t -- t: 044771 sigma: 0.0640 [S]\n",
      "Ep  880\tMaxAvg100: 0.43\tMax: 2.60 [ 2.60,  2.60]\t -- t: 045772 sigma: 0.0608 [S]\n",
      "Ep  881\tMaxAvg100: 0.44\tMax: 1.60 [ 1.60,  1.59]\t -- t: 046382 sigma: 0.0590 [S]\n",
      "Ep  882\tMaxAvg100: 0.45\tMax: 2.60 [ 2.60,  2.60]\t -- t: 047383 sigma: 0.0561 [S]\n",
      "Ep  883\tMaxAvg100: 0.46\tMax: 2.70 [ 2.60,  2.70]\t -- t: 048384 sigma: 0.0534 [S]\n",
      "Ep  884\tMaxAvg100: 0.48\tMax: 2.60 [ 2.60,  2.60]\t -- t: 049385 sigma: 0.0508 [S]\n",
      "Ep  885\tMaxAvg100: 0.49\tMax: 0.20 [ 0.20,  0.09]\t -- t: 049443 sigma: 0.0506 [S]\n",
      "Ep  886\tMaxAvg100: 0.49\tMax: 2.60 [ 2.60,  2.60]\t -- t: 050444 sigma: 0.0500 [S]\n",
      "Ep  887\tMaxAvg100: 0.51\tMax: 0.20 [ 0.20,  0.09]\t -- t: 050503 sigma: 0.0500 [S]\n",
      "Ep  888\tMaxAvg100: 0.51\tMax: 2.60 [ 2.60,  2.60]\t -- t: 051504 sigma: 0.0500 [S]\n",
      "Ep  889\tMaxAvg100: 0.53\tMax: 2.70 [ 2.60,  2.70]\t -- t: 052505 sigma: 0.0500 [S]\n",
      "Ep  890\tMaxAvg100: 0.54\tMax: 0.00 [-0.01,  0.00]\t -- t: 052515 sigma: 0.0500 [S]\n",
      "Ep  891\tMaxAvg100: 0.54\tMax: 2.60 [ 2.60,  2.60]\t -- t: 053516 sigma: 0.0500 [S]\n",
      "Ep  892\tMaxAvg100: 0.55\tMax: 2.70 [ 2.70,  2.60]\t -- t: 054517 sigma: 0.0500 [S]\n",
      "Ep  893\tMaxAvg100: 0.57\tMax: 2.60 [ 2.60,  2.60]\t -- t: 055518 sigma: 0.0500 [S]\n",
      "Ep  894\tMaxAvg100: 0.58\tMax: 2.70 [ 2.60,  2.70]\t -- t: 056519 sigma: 0.0500 [S]\n",
      "Ep  895\tMaxAvg100: 0.60\tMax: 2.60 [ 2.60,  2.60]\t -- t: 057520 sigma: 0.0500 [S]\n",
      "Ep  896\tMaxAvg100: 0.61\tMax: 2.70 [ 2.70,  2.60]\t -- t: 058521 sigma: 0.0500 [S]\n",
      "Ep  897\tMaxAvg100: 0.63\tMax: 2.60 [ 2.60,  2.60]\t -- t: 059522 sigma: 0.0500 [S]\n",
      "Ep  898\tMaxAvg100: 0.64\tMax: 1.30 [ 1.19,  1.30]\t -- t: 059993 sigma: 0.0500 [S]\n",
      "Ep  899\tMaxAvg100: 0.65\tMax: 2.60 [ 2.60,  2.60]\t -- t: 060994 sigma: 0.0500 [S]\n",
      "Ep  900\tMaxAvg100: 0.67\tMax: 2.70 [ 2.70,  2.60]\t -- t: 061995 sigma: 0.0500 [S]\n",
      "Ep  901\tMaxAvg100: 0.68\tMax: 2.60 [ 2.60,  2.60]\t -- t: 062996 sigma: 0.0500 [S]\n",
      "Ep  902\tMaxAvg100: 0.70\tMax: 2.60 [ 2.60,  2.60]\t -- t: 063997 sigma: 0.0500 [S]\n",
      "Ep  903\tMaxAvg100: 0.71\tMax: 0.10 [-0.01,  0.10]\t -- t: 064013 sigma: 0.0500 [S]\n",
      "Ep  904\tMaxAvg100: 0.72\tMax: 2.60 [ 2.60,  2.60]\t -- t: 065014 sigma: 0.0500 [S]\n",
      "Ep  905\tMaxAvg100: 0.73\tMax: 2.70 [ 2.60,  2.70]\t -- t: 066015 sigma: 0.0500 [S]\n",
      "Ep  906\tMaxAvg100: 0.75\tMax: 2.60 [ 2.60,  2.60]\t -- t: 067016 sigma: 0.0500 [S]\n",
      "Ep  907\tMaxAvg100: 0.76\tMax: 2.70 [ 2.70,  2.60]\t -- t: 068017 sigma: 0.0500 [S]\n",
      "Ep  908\tMaxAvg100: 0.78\tMax: 2.60 [ 2.60,  2.60]\t -- t: 069018 sigma: 0.0500 [S]\n",
      "Ep  909\tMaxAvg100: 0.79\tMax: 2.70 [ 2.60,  2.70]\t -- t: 070019 sigma: 0.0500 [S]\n",
      "Ep  910\tMaxAvg100: 0.81\tMax: 2.70 [ 2.70,  2.60]\t -- t: 071020 sigma: 0.0500 [S]\n",
      "Ep  911\tMaxAvg100: 0.82\tMax: 2.60 [ 2.60,  2.60]\t -- t: 072021 sigma: 0.0500 [S]\n",
      "Ep  912\tMaxAvg100: 0.83\tMax: 2.70 [ 2.60,  2.70]\t -- t: 073022 sigma: 0.0500 [S]\n",
      "Ep  913\tMaxAvg100: 0.85\tMax: 0.10 [ 0.10, -0.01]\t -- t: 073052 sigma: 0.0500 [S]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Ep  914\tMaxAvg100: 0.85\tMax: 0.20 [ 0.19,  0.20]\t -- t: 073142 sigma: 0.0500 [S]\n",
      "Ep  915\tMaxAvg100: 0.86\tMax: 2.60 [ 2.60,  2.60]\t -- t: 074143 sigma: 0.0500 [S]\n",
      "Ep  916\tMaxAvg100: 0.87\tMax: 2.70 [ 2.60,  2.70]\t -- t: 075144 sigma: 0.0500 [S]\n",
      "Ep  917\tMaxAvg100: 0.89\tMax: 2.60 [ 2.60,  2.60]\t -- t: 076145 sigma: 0.0500 [S]\n",
      "Ep  918\tMaxAvg100: 0.91\tMax: 2.70 [ 2.70,  2.60]\t -- t: 077146 sigma: 0.0500 [S]\n",
      "Ep  919\tMaxAvg100: 0.92\tMax: 2.70 [ 2.60,  2.70]\t -- t: 078147 sigma: 0.0500 [S]\n",
      "Ep  920\tMaxAvg100: 0.94\tMax: 2.60 [ 2.60,  2.60]\t -- t: 079148 sigma: 0.0500 [S]\n",
      "Ep  921\tMaxAvg100: 0.95\tMax: 2.70 [ 2.70,  2.60]\t -- t: 080149 sigma: 0.0500 [S]\n",
      "Ep  922\tMaxAvg100: 0.97\tMax: 0.00 [ 0.00, -0.01]\t -- t: 080155 sigma: 0.0500 [S]\n",
      "Ep  923\tMaxAvg100: 0.97\tMax: 2.60 [ 2.60,  2.60]\t -- t: 081156 sigma: 0.0500 [S]\n",
      "Ep  924\tMaxAvg100: 0.99\tMax: 2.70 [ 2.70,  2.60]\t -- t: 082157 sigma: 0.0500 [S]\n",
      "Ep  925\tMaxAvg100: 1.01\tMax: 2.60 [ 2.60,  2.60]\t -- t: 083158 sigma: 0.0500 [S]\n",
      "Ep  926\tMaxAvg100: 1.02\tMax: 0.70 [ 0.59,  0.70]\t -- t: 083401 sigma: 0.0500 [S]\n",
      "Ep  927\tMaxAvg100: 1.03\tMax: 2.60 [ 2.60,  2.60]\t -- t: 084402 sigma: 0.0500 [S]\n",
      "Ep  928\tMaxAvg100: 1.05\tMax: 2.70 [ 2.70,  2.60]\t -- t: 085403 sigma: 0.0500 [S]\n",
      "Ep  929\tMaxAvg100: 1.06\tMax: 2.60 [ 2.60,  2.60]\t -- t: 086404 sigma: 0.0500 [S]\n",
      "Ep  930\tMaxAvg100: 1.07\tMax: 2.70 [ 2.60,  2.70]\t -- t: 087405 sigma: 0.0500 [S]\n",
      "Ep  931\tMaxAvg100: 1.08\tMax: 2.60 [ 2.60,  2.60]\t -- t: 088406 sigma: 0.0500 [S]\n",
      "Ep  932\tMaxAvg100: 1.10\tMax: 2.60 [ 2.60,  2.60]\t -- t: 089407 sigma: 0.0500 [S]\n",
      "Ep  933\tMaxAvg100: 1.11\tMax: 2.70 [ 2.70,  2.60]\t -- t: 090408 sigma: 0.0500 [S]\n",
      "Ep  934\tMaxAvg100: 1.12\tMax: 2.70 [ 2.60,  2.70]\t -- t: 091409 sigma: 0.0500 [S]\n",
      "Ep  935\tMaxAvg100: 1.14\tMax: 2.60 [ 2.60,  2.60]\t -- t: 092410 sigma: 0.0500 [S]\n",
      "Ep  936\tMaxAvg100: 1.16\tMax: 2.70 [ 2.70,  2.60]\t -- t: 093411 sigma: 0.0500 [S]\n",
      "Ep  937\tMaxAvg100: 1.17\tMax: 2.60 [ 2.60,  2.60]\t -- t: 094412 sigma: 0.0500 [S]\n",
      "Ep  938\tMaxAvg100: 1.19\tMax: 2.70 [ 2.60,  2.70]\t -- t: 095413 sigma: 0.0500 [S]\n",
      "Ep  939\tMaxAvg100: 1.20\tMax: 2.70 [ 2.70,  2.60]\t -- t: 096414 sigma: 0.0500 [S]\n",
      "Ep  940\tMaxAvg100: 1.22\tMax: 2.60 [ 2.60,  2.60]\t -- t: 097415 sigma: 0.0500 [S]\n",
      "Ep  941\tMaxAvg100: 1.24\tMax: 2.70 [ 2.60,  2.70]\t -- t: 098416 sigma: 0.0500 [S]\n",
      "Ep  942\tMaxAvg100: 1.25\tMax: 2.60 [ 2.60,  2.60]\t -- t: 099417 sigma: 0.0500 [S]\n",
      "Ep  943\tMaxAvg100: 1.27\tMax: 2.70 [ 2.70,  2.60]\t -- t: 100418 sigma: 0.0500 [S]\n",
      "Ep  944\tMaxAvg100: 1.28\tMax: 2.70 [ 2.60,  2.70]\t -- t: 101419 sigma: 0.0500 [S]\n",
      "Ep  945\tMaxAvg100: 1.30\tMax: 2.60 [ 2.60,  2.60]\t -- t: 102420 sigma: 0.0500 [S]\n",
      "Ep  946\tMaxAvg100: 1.32\tMax: 2.70 [ 2.70,  2.60]\t -- t: 103421 sigma: 0.0500 [S]\n",
      "Ep  947\tMaxAvg100: 1.34\tMax: 2.60 [ 2.60,  2.60]\t -- t: 104422 sigma: 0.0500 [S]\n",
      "Ep  948\tMaxAvg100: 1.36\tMax: 2.70 [ 2.60,  2.70]\t -- t: 105423 sigma: 0.0500 [S]\n",
      "Ep  949\tMaxAvg100: 1.37\tMax: 2.60 [ 2.60,  2.60]\t -- t: 106424 sigma: 0.0500 [S]\n",
      "Ep  950\tMaxAvg100: 1.39\tMax: 2.70 [ 2.70,  2.60]\t -- t: 107425 sigma: 0.0500 [S]\n",
      "Ep  951\tMaxAvg100: 1.41\tMax: 2.60 [ 2.60,  2.60]\t -- t: 108426 sigma: 0.0500 [S]\n",
      "Ep  952\tMaxAvg100: 1.42\tMax: 0.70 [ 0.70,  0.69]\t -- t: 108706 sigma: 0.0500 [S]\n",
      "Ep  953\tMaxAvg100: 1.43\tMax: 0.60 [ 0.59,  0.60]\t -- t: 108960 sigma: 0.0500 [S]\n",
      "Ep  954\tMaxAvg100: 1.43\tMax: 2.60 [ 2.60,  2.60]\t -- t: 109961 sigma: 0.0500 \n",
      "Ep  955\tMaxAvg100: 1.44\tMax: 2.60 [ 2.60,  2.60]\t -- t: 110962 sigma: 0.0500 [S]\n",
      "Ep  956\tMaxAvg100: 1.46\tMax: 1.10 [ 1.10,  1.09]\t -- t: 111374 sigma: 0.0500 [S]\n",
      "Ep  957\tMaxAvg100: 1.46\tMax: 2.60 [ 2.60,  2.60]\t -- t: 112375 sigma: 0.0500 \n",
      "Ep  958\tMaxAvg100: 1.46\tMax: 1.00 [ 1.00,  0.99]\t -- t: 112758 sigma: 0.0500 [S]\n",
      "Ep  959\tMaxAvg100: 1.47\tMax: 2.60 [ 2.60,  2.60]\t -- t: 113759 sigma: 0.0500 [S]\n",
      "Ep  960\tMaxAvg100: 1.48\tMax: 2.70 [ 2.60,  2.70]\t -- t: 114760 sigma: 0.0500 [S]\n",
      "Ep  961\tMaxAvg100: 1.50\tMax: 2.60 [ 2.60,  2.60]\t -- t: 115761 sigma: 0.0500 [S]\n",
      "Ep  962\tMaxAvg100: 1.51\tMax: 0.90 [ 0.89,  0.90]\t -- t: 116099 sigma: 0.0500 [S]\n",
      "Ep  963\tMaxAvg100: 1.52\tMax: 2.60 [ 2.60,  2.60]\t -- t: 117100 sigma: 0.0500 [S]\n",
      "Ep  964\tMaxAvg100: 1.53\tMax: 2.60 [ 2.50,  2.60]\t -- t: 118101 sigma: 0.0500 [S]\n",
      "Ep  965\tMaxAvg100: 1.54\tMax: 2.70 [ 2.70,  2.60]\t -- t: 119102 sigma: 0.0500 [S]\n",
      "Ep  966\tMaxAvg100: 1.55\tMax: 1.70 [ 1.59,  1.70]\t -- t: 119732 sigma: 0.0500 [S]\n",
      "Ep  967\tMaxAvg100: 1.56\tMax: 2.60 [ 2.60,  2.60]\t -- t: 120733 sigma: 0.0500 [S]\n",
      "Ep  968\tMaxAvg100: 1.57\tMax: 2.70 [ 2.60,  2.70]\t -- t: 121734 sigma: 0.0500 [S]\n",
      "Ep  969\tMaxAvg100: 1.59\tMax: 1.30 [ 1.30,  1.09]\t -- t: 122206 sigma: 0.0500 [S]\n",
      "Ep  970\tMaxAvg100: 1.60\tMax: 2.60 [ 2.60,  2.60]\t -- t: 123207 sigma: 0.0500 [S]\n",
      "Ep  971\tMaxAvg100: 1.60\tMax: 1.70 [ 1.70,  1.69]\t -- t: 123851 sigma: 0.0500 [S]\n",
      "Ep  972\tMaxAvg100: 1.61\tMax: 2.60 [ 2.60,  2.50]\t -- t: 124852 sigma: 0.0500 [S]\n",
      "Ep  973\tMaxAvg100: 1.62\tMax: 1.30 [ 1.19,  1.30]\t -- t: 125343 sigma: 0.0500 [S]\n",
      "Ep  974\tMaxAvg100: 1.63\tMax: 2.60 [ 2.60,  2.60]\t -- t: 126344 sigma: 0.0500 [S]\n",
      "Ep  975\tMaxAvg100: 1.63\tMax: 2.60 [ 2.60,  2.60]\t -- t: 127345 sigma: 0.0500 [S]\n",
      "Ep  976\tMaxAvg100: 1.64\tMax: 2.60 [ 2.60,  2.60]\t -- t: 128346 sigma: 0.0500 [S]\n",
      "Ep  977\tMaxAvg100: 1.65\tMax: 2.70 [ 2.70,  2.60]\t -- t: 129347 sigma: 0.0500 [S]\n",
      "Ep  978\tMaxAvg100: 1.67\tMax: 0.30 [ 0.19,  0.30]\t -- t: 129453 sigma: 0.0500 [S]\n",
      "Ep  979\tMaxAvg100: 1.66\tMax: 2.60 [ 2.60,  2.60]\t -- t: 130454 sigma: 0.0500 \n",
      "Ep  980\tMaxAvg100: 1.67\tMax: 2.60 [ 2.60,  2.60]\t -- t: 131455 sigma: 0.0500 [S]\n",
      "Ep  981\tMaxAvg100: 1.67\tMax: 2.70 [ 2.60,  2.70]\t -- t: 132456 sigma: 0.0500 [S]\n",
      "Ep  982\tMaxAvg100: 1.68\tMax: 2.00 [ 2.00,  1.89]\t -- t: 133201 sigma: 0.0500 [S]\n",
      "Ep  983\tMaxAvg100: 1.69\tMax: 2.60 [ 2.60,  2.50]\t -- t: 134202 sigma: 0.0500 [S]\n",
      "Ep  984\tMaxAvg100: 1.69\tMax: 2.70 [ 2.60,  2.70]\t -- t: 135203 sigma: 0.0500 [S]\n",
      "Ep  985\tMaxAvg100: 1.70\tMax: 0.00 [-0.01,  0.00]\t -- t: 135208 sigma: 0.0500 [S]\n",
      "Ep  986\tMaxAvg100: 1.70\tMax: 0.10 [ 0.10,  0.09]\t -- t: 135274 sigma: 0.0500 [S]\n",
      "Ep  987\tMaxAvg100: 1.70\tMax: 2.60 [ 2.60,  2.60]\t -- t: 136275 sigma: 0.0500 \n",
      "Ep  988\tMaxAvg100: 1.72\tMax: 1.50 [ 1.50,  1.39]\t -- t: 136849 sigma: 0.0500 [S]\n",
      "Ep  989\tMaxAvg100: 1.72\tMax: 0.39 [ 0.30,  0.39]\t -- t: 136994 sigma: 0.0500 [S]\n",
      "Ep  990\tMaxAvg100: 1.71\tMax: 1.00 [ 0.99,  1.00]\t -- t: 137387 sigma: 0.0500 \n",
      "Ep  991\tMaxAvg100: 1.72\tMax: 2.60 [ 2.60,  2.60]\t -- t: 138388 sigma: 0.0500 [S]\n",
      "Ep  992\tMaxAvg100: 1.73\tMax: 2.70 [ 2.60,  2.70]\t -- t: 139389 sigma: 0.0500 [S]\n",
      "Ep  993\tMaxAvg100: 1.73\tMax: 2.60 [ 2.60,  2.60]\t -- t: 140390 sigma: 0.0500 [S]\n",
      "Ep  994\tMaxAvg100: 1.74\tMax: 2.70 [ 2.70,  2.60]\t -- t: 141391 sigma: 0.0500 [S]\n",
      "Ep  995\tMaxAvg100: 1.75\tMax: 2.60 [ 2.60,  2.60]\t -- t: 142392 sigma: 0.0500 [S]\n",
      "Ep  996\tMaxAvg100: 1.75\tMax: 2.70 [ 2.60,  2.70]\t -- t: 143393 sigma: 0.0500 [S]\n",
      "Ep  997\tMaxAvg100: 1.76\tMax: 2.60 [ 2.60,  2.60]\t -- t: 144394 sigma: 0.0500 [S]\n",
      "Ep  998\tMaxAvg100: 1.76\tMax: 2.60 [ 2.60,  2.60]\t -- t: 145395 sigma: 0.0500 [S]\n",
      "Ep  999\tMaxAvg100: 1.77\tMax: 2.70 [ 2.70,  2.60]\t -- t: 146396 sigma: 0.0500 [S]\n",
      "Ep 1000\tMaxAvg100: 1.78\tMax: 0.50 [ 0.50,  0.39]\t -- t: 146570 sigma: 0.0500 [S]\n",
      "Ep 1001\tMaxAvg100: 1.78\tMax: 1.20 [ 1.20,  1.19]\t -- t: 147043 sigma: 0.0500 \n",
      "Ep 1002\tMaxAvg100: 1.77\tMax: 2.60 [ 2.60,  2.60]\t -- t: 148044 sigma: 0.0500 \n",
      "Ep 1003\tMaxAvg100: 1.78\tMax: 0.80 [ 0.80,  0.79]\t -- t: 148358 sigma: 0.0500 \n",
      "Ep 1004\tMaxAvg100: 1.79\tMax: 2.50 [ 2.50,  2.50]\t -- t: 149359 sigma: 0.0500 [S]\n",
      "Ep 1005\tMaxAvg100: 1.79\tMax: 0.10 [ 0.10,  0.09]\t -- t: 149386 sigma: 0.0500 [S]\n",
      "Ep 1006\tMaxAvg100: 1.78\tMax: 2.60 [ 2.60,  2.60]\t -- t: 150387 sigma: 0.0500 \n",
      "Ep 1007\tMaxAvg100: 1.79\tMax: 2.60 [ 2.60,  2.60]\t -- t: 151388 sigma: 0.0500 \n",
      "Ep 1008\tMaxAvg100: 1.79\tMax: 2.60 [ 2.60,  2.60]\t -- t: 152389 sigma: 0.0500 [S]\n",
      "Ep 1009\tMaxAvg100: 1.80\tMax: 2.70 [ 2.70,  2.60]\t -- t: 153390 sigma: 0.0500 [S]\n",
      "Ep 1010\tMaxAvg100: 1.80\tMax: 2.60 [ 2.60,  2.60]\t -- t: 154391 sigma: 0.0500 [S]\n",
      "Ep 1011\tMaxAvg100: 1.81\tMax: 0.00 [ 0.00, -0.01]\t -- t: 154394 sigma: 0.0500 [S]\n",
      "Ep 1012\tMaxAvg100: 1.80\tMax: 2.60 [ 2.60,  2.60]\t -- t: 155395 sigma: 0.0500 \n",
      "Ep 1013\tMaxAvg100: 1.81\tMax: 2.60 [ 2.60,  2.60]\t -- t: 156396 sigma: 0.0500 \n",
      "Ep 1014\tMaxAvg100: 1.82\tMax: 0.20 [ 0.09,  0.20]\t -- t: 156464 sigma: 0.0500 [S]\n",
      "Ep 1015\tMaxAvg100: 1.83\tMax: 2.60 [ 2.60,  2.60]\t -- t: 157465 sigma: 0.0500 [S]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Ep 1016\tMaxAvg100: 1.83\tMax: 2.60 [ 2.60,  2.60]\t -- t: 158466 sigma: 0.0500 [S]\n",
      "Ep 1017\tMaxAvg100: 1.84\tMax: 0.00 [-0.01,  0.00]\t -- t: 158469 sigma: 0.0500 [S]\n",
      "Ep 1018\tMaxAvg100: 1.83\tMax: 2.60 [ 2.60,  2.60]\t -- t: 159470 sigma: 0.0500 \n",
      "Ep 1019\tMaxAvg100: 1.83\tMax: 0.59 [ 0.50,  0.59]\t -- t: 159685 sigma: 0.0500 \n",
      "Ep 1020\tMaxAvg100: 1.83\tMax: 2.60 [ 2.60,  2.60]\t -- t: 160686 sigma: 0.0500 \n",
      "Ep 1021\tMaxAvg100: 1.83\tMax: 0.30 [ 0.19,  0.30]\t -- t: 160787 sigma: 0.0500 \n",
      "Ep 1022\tMaxAvg100: 1.82\tMax: 2.60 [ 2.60,  2.60]\t -- t: 161788 sigma: 0.0500 \n",
      "Ep 1023\tMaxAvg100: 1.84\tMax: 2.60 [ 2.60,  2.60]\t -- t: 162789 sigma: 0.0500 [S]\n",
      "Ep 1024\tMaxAvg100: 1.85\tMax: 2.70 [ 2.60,  2.70]\t -- t: 163790 sigma: 0.0500 [S]\n",
      "Ep 1025\tMaxAvg100: 1.85\tMax: 2.70 [ 2.70,  2.60]\t -- t: 164791 sigma: 0.0500 [S]\n",
      "Ep 1026\tMaxAvg100: 1.85\tMax: 2.60 [ 2.60,  2.60]\t -- t: 165792 sigma: 0.0500 [S]\n",
      "Ep 1027\tMaxAvg100: 1.87\tMax: 0.10 [-0.01,  0.10]\t -- t: 165820 sigma: 0.0500 [S]\n",
      "Ep 1028\tMaxAvg100: 1.86\tMax: 2.60 [ 2.50,  2.60]\t -- t: 166821 sigma: 0.0500 \n",
      "Ep 1029\tMaxAvg100: 1.86\tMax: 1.60 [ 1.60,  1.49]\t -- t: 167408 sigma: 0.0500 \n",
      "Ep 1030\tMaxAvg100: 1.86\tMax: 1.30 [ 1.30,  1.19]\t -- t: 167919 sigma: 0.0500 \n",
      "Ep 1031\tMaxAvg100: 1.86\tMax: 2.60 [ 2.60,  2.60]\t -- t: 168920 sigma: 0.0500 \n",
      "Ep 1032\tMaxAvg100: 1.86\tMax: 2.70 [ 2.70,  2.60]\t -- t: 169921 sigma: 0.0500 \n",
      "Ep 1033\tMaxAvg100: 1.87\tMax: 2.60 [ 2.60,  2.60]\t -- t: 170922 sigma: 0.0500 \n",
      "Ep 1034\tMaxAvg100: 1.87\tMax: 2.60 [ 2.60,  2.60]\t -- t: 171923 sigma: 0.0500 [S]\n",
      "Ep 1035\tMaxAvg100: 1.87\tMax: 2.70 [ 2.60,  2.70]\t -- t: 172924 sigma: 0.0500 [S]\n",
      "Ep 1036\tMaxAvg100: 1.88\tMax: 2.60 [ 2.60,  2.60]\t -- t: 173925 sigma: 0.0500 [S]\n",
      "Ep 1037\tMaxAvg100: 1.88\tMax: 0.00 [-0.01,  0.00]\t -- t: 173929 sigma: 0.0500 [S]\n",
      "Ep 1038\tMaxAvg100: 1.87\tMax: 2.60 [ 2.60,  2.50]\t -- t: 174930 sigma: 0.0500 \n",
      "Ep 1039\tMaxAvg100: 1.87\tMax: 2.70 [ 2.60,  2.70]\t -- t: 175931 sigma: 0.0500 \n",
      "Ep 1040\tMaxAvg100: 1.88\tMax: 2.60 [ 2.60,  2.60]\t -- t: 176932 sigma: 0.0500 \n",
      "Ep 1041\tMaxAvg100: 1.88\tMax: 0.00 [-0.01,  0.00]\t -- t: 176934 sigma: 0.0500 [S]\n",
      "Ep 1042\tMaxAvg100: 1.87\tMax: 2.60 [ 2.60,  2.60]\t -- t: 177935 sigma: 0.0500 \n",
      "Ep 1043\tMaxAvg100: 1.87\tMax: 2.70 [ 2.60,  2.70]\t -- t: 178936 sigma: 0.0500 \n",
      "Ep 1044\tMaxAvg100: 1.88\tMax: 2.40 [ 2.40,  2.19]\t -- t: 179799 sigma: 0.0500 \n",
      "Ep 1045\tMaxAvg100: 1.88\tMax: 2.20 [ 2.09,  2.20]\t -- t: 180654 sigma: 0.0500 \n",
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      "Ep 1048\tMaxAvg100: 1.88\tMax: 0.00 [ 0.00, -0.01]\t -- t: 182659 sigma: 0.0500 [S]\n",
      "Ep 1049\tMaxAvg100: 1.87\tMax: 0.30 [ 0.19,  0.30]\t -- t: 182768 sigma: 0.0500 \n",
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      "Ep 1080\tMaxAvg100: 1.89\tMax: 2.60 [ 2.60,  2.60]\t -- t: 206002 sigma: 0.0500 \n",
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      "Ep 1091\tMaxAvg100: 1.93\tMax: 1.20 [ 1.09,  1.20]\t -- t: 214463 sigma: 0.0500 [S]\n",
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      "Ep 1100\tMaxAvg100: 1.90\tMax: 2.60 [ 2.60,  2.60]\t -- t: 221435 sigma: 0.0500 \n",
      "Ep 1101\tMaxAvg100: 1.91\tMax: 0.00 [ 0.00, -0.01]\t -- t: 221439 sigma: 0.0500 \n",
      "Ep 1102\tMaxAvg100: 1.91\tMax: 2.60 [ 2.60,  2.60]\t -- t: 222440 sigma: 0.0500 \n",
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      "Ep 1111\tMaxAvg100: 1.91\tMax: 2.10 [ 2.10,  2.09]\t -- t: 229256 sigma: 0.0500 \n",
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      "Ep 1120\tMaxAvg100: 1.92\tMax: 2.60 [ 2.60,  2.60]\t -- t: 235618 sigma: 0.0500 \n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Ep 1121\tMaxAvg100: 1.92\tMax: 1.10 [ 1.09,  1.10]\t -- t: 236046 sigma: 0.0500 \n",
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      "Ep 1226\tMaxAvg100: 1.78\tMax: 0.20 [ 0.09,  0.20]\t -- t: 305236 sigma: 0.0500 \n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Ep 1227\tMaxAvg100: 1.77\tMax: 2.60 [ 2.60,  2.60]\t -- t: 306237 sigma: 0.0500 \n",
      "Ep 1228\tMaxAvg100: 1.77\tMax: 0.10 [ 0.10, -0.01]\t -- t: 306257 sigma: 0.0500 \n",
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      "Ep 1249\tMaxAvg100: 1.77\tMax: 0.90 [ 0.90,  0.79]\t -- t: 320762 sigma: 0.0500 \n",
      "Ep 1250\tMaxAvg100: 1.77\tMax: 2.60 [ 2.60,  2.60]\t -- t: 321763 sigma: 0.0500 \n",
      "Ep 1251\tMaxAvg100: 1.77\tMax: 0.10 [ 0.10, -0.01]\t -- t: 321782 sigma: 0.0500 \n",
      "Ep 1252\tMaxAvg100: 1.76\tMax: 1.40 [ 1.40,  1.29]\t -- t: 322306 sigma: 0.0500 \n",
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      "Ep 1255\tMaxAvg100: 1.78\tMax: 2.60 [ 2.60,  2.60]\t -- t: 325271 sigma: 0.0500 \n",
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      "Ep 1263\tMaxAvg100: 1.79\tMax: 2.70 [ 2.70,  2.60]\t -- t: 331739 sigma: 0.0500 \n",
      "Ep 1264\tMaxAvg100: 1.79\tMax: 2.60 [ 2.60,  2.60]\t -- t: 332740 sigma: 0.0500 \n",
      "Ep 1265\tMaxAvg100: 1.79\tMax: 2.70 [ 2.60,  2.70]\t -- t: 333741 sigma: 0.0500 \n",
      "Ep 1266\tMaxAvg100: 1.79\tMax: 1.10 [ 1.10,  0.99]\t -- t: 334143 sigma: 0.0500 \n",
      "Ep 1267\tMaxAvg100: 1.79\tMax: 2.60 [ 2.49,  2.60]\t -- t: 335126 sigma: 0.0500 \n",
      "Ep 1268\tMaxAvg100: 1.80\tMax: 2.60 [ 2.60,  2.60]\t -- t: 336127 sigma: 0.0500 \n",
      "Ep 1269\tMaxAvg100: 1.81\tMax: 0.10 [ 0.10, -0.01]\t -- t: 336146 sigma: 0.0500 \n",
      "Ep 1270\tMaxAvg100: 1.81\tMax: 0.10 [ 0.10, -0.01]\t -- t: 336190 sigma: 0.0500 \n",
      "Ep 1271\tMaxAvg100: 1.79\tMax: 2.60 [ 2.60,  2.60]\t -- t: 337191 sigma: 0.0500 \n",
      "Ep 1272\tMaxAvg100: 1.80\tMax: 2.70 [ 2.70,  2.60]\t -- t: 338192 sigma: 0.0500 \n",
      "Ep 1273\tMaxAvg100: 1.80\tMax: 2.60 [ 2.60,  2.59]\t -- t: 339189 sigma: 0.0500 \n",
      "Ep 1274\tMaxAvg100: 1.81\tMax: 2.60 [ 2.60,  2.60]\t -- t: 340190 sigma: 0.0500 \n",
      "Ep 1275\tMaxAvg100: 1.81\tMax: 2.70 [ 2.70,  2.60]\t -- t: 341191 sigma: 0.0500 \n",
      "Ep 1276\tMaxAvg100: 1.81\tMax: 0.30 [ 0.19,  0.30]\t -- t: 341312 sigma: 0.0500 \n",
      "Ep 1277\tMaxAvg100: 1.81\tMax: 1.20 [ 1.19,  1.20]\t -- t: 341800 sigma: 0.0500 \n",
      "Ep 1278\tMaxAvg100: 1.81\tMax: 2.60 [ 2.60,  2.60]\t -- t: 342801 sigma: 0.0500 \n",
      "Ep 1279\tMaxAvg100: 1.82\tMax: 2.70 [ 2.70,  2.60]\t -- t: 343802 sigma: 0.0500 \n",
      "Ep 1280\tMaxAvg100: 1.83\tMax: 0.70 [ 0.59,  0.70]\t -- t: 344063 sigma: 0.0500 \n",
      "Ep 1281\tMaxAvg100: 1.82\tMax: 2.60 [ 2.60,  2.60]\t -- t: 345064 sigma: 0.0500 \n",
      "Ep 1282\tMaxAvg100: 1.82\tMax: 2.70 [ 2.60,  2.70]\t -- t: 346065 sigma: 0.0500 \n",
      "Ep 1283\tMaxAvg100: 1.83\tMax: 2.60 [ 2.60,  2.60]\t -- t: 347066 sigma: 0.0500 \n",
      "Ep 1284\tMaxAvg100: 1.84\tMax: 0.70 [ 0.69,  0.70]\t -- t: 347327 sigma: 0.0500 \n",
      "Ep 1285\tMaxAvg100: 1.84\tMax: 2.60 [ 2.60,  2.60]\t -- t: 348328 sigma: 0.0500 \n",
      "Ep 1286\tMaxAvg100: 1.84\tMax: 0.00 [-0.01,  0.00]\t -- t: 348329 sigma: 0.0500 \n",
      "Ep 1287\tMaxAvg100: 1.84\tMax: 2.60 [ 2.60,  2.60]\t -- t: 349330 sigma: 0.0500 \n",
      "Ep 1288\tMaxAvg100: 1.84\tMax: 0.00 [ 0.00, -0.01]\t -- t: 349335 sigma: 0.0500 \n",
      "Ep 1289\tMaxAvg100: 1.83\tMax: 2.00 [ 2.00,  1.99]\t -- t: 350126 sigma: 0.0500 \n",
      "Ep 1290\tMaxAvg100: 1.83\tMax: 0.40 [ 0.39,  0.40]\t -- t: 350292 sigma: 0.0500 \n",
      "Ep 1291\tMaxAvg100: 1.81\tMax: 2.60 [ 2.60,  2.60]\t -- t: 351293 sigma: 0.0500 \n",
      "Ep 1292\tMaxAvg100: 1.83\tMax: 2.60 [ 2.60,  2.60]\t -- t: 352294 sigma: 0.0500 \n",
      "Ep 1293\tMaxAvg100: 1.83\tMax: 2.30 [ 2.19,  2.30]\t -- t: 353169 sigma: 0.0500 \n",
      "Ep 1294\tMaxAvg100: 1.84\tMax: 1.40 [ 1.39,  1.40]\t -- t: 353719 sigma: 0.0500 \n",
      "Ep 1295\tMaxAvg100: 1.84\tMax: 0.10 [ 0.10, -0.01]\t -- t: 353752 sigma: 0.0500 \n",
      "Ep 1296\tMaxAvg100: 1.83\tMax: 0.50 [ 0.39,  0.50]\t -- t: 353938 sigma: 0.0500 \n",
      "Ep 1297\tMaxAvg100: 1.82\tMax: 2.60 [ 2.60,  2.60]\t -- t: 354939 sigma: 0.0500 \n",
      "Ep 1298\tMaxAvg100: 1.82\tMax: 2.60 [ 2.60,  2.60]\t -- t: 355940 sigma: 0.0500 \n",
      "Ep 1299\tMaxAvg100: 1.82\tMax: 0.10 [-0.01,  0.10]\t -- t: 355957 sigma: 0.0500 \n",
      "Ep 1300\tMaxAvg100: 1.80\tMax: 2.60 [ 2.60,  2.60]\t -- t: 356958 sigma: 0.0500 \n"
     ]
    }
   ],
   "source": [
    "multi_agent = MultiAgent(num_agents, state_size, action_size, noise_type=\"ou\")\n",
    "scores_ou = train(multi_agent, n_episodes=1300, max_t=10000)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "6f27b62d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x504 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_scores([scores_ou], ['ou'], save_as='ou.png')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8e95d42e",
   "metadata": {},
   "source": [
    "## Parameter Action Noise"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "5b318cb8-3f3b-433e-8a0f-3f5d1f029a07",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "################################################################################\n",
      "\n",
      "Hyperparameters (multiagent):\n",
      "\n",
      "         n_agents: 2\n",
      "      random_seed: 0\n",
      "      learn_every: 1\n",
      "          n_learn: 8\n",
      "     alpha_critic: 0.0001\n",
      "       batch_size: 64\n",
      "      buffer_size: 1000000\n",
      "      action_size: 2\n",
      "       noise_type: param\n",
      "       state_size: 24\n",
      "\n",
      "Critic(\n",
      "  (seq1): Sequential(\n",
      "    (0): Linear(in_features=24, out_features=300, bias=True)\n",
      "    (1): BatchNorm1d(300, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
      "    (2): ReLU()\n",
      "  )\n",
      "  (seq2): Sequential(\n",
      "    (0): Linear(in_features=302, out_features=400, bias=True)\n",
      "    (1): ReLU()\n",
      "    (2): Linear(in_features=400, out_features=1, bias=True)\n",
      "  )\n",
      ")\n",
      "\n",
      "Single Agent: Hyperparameters: \n",
      "\n",
      "       state_size: 24\n",
      "      action_size: 2\n",
      "       noise_type: param\n",
      "      alpha_actor: 0.0001\n",
      "            gamma: 0.99\n",
      "              tau: 0.001\n",
      " desired_distance: 0.3\n",
      "           scalar: 0.5\n",
      "     scalar_decay: 0.99\n",
      "    normal_scalar: 0.4\n",
      "\n",
      "Actor(\n",
      "  (seq): Sequential(\n",
      "    (0): Linear(in_features=24, out_features=300, bias=True)\n",
      "    (1): BatchNorm1d(300, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
      "    (2): ReLU()\n",
      "    (3): Linear(in_features=300, out_features=400, bias=True)\n",
      "    (4): ReLU()\n",
      "    (5): Linear(in_features=400, out_features=2, bias=True)\n",
      "    (6): Tanh()\n",
      "  )\n",
      ") \n",
      "\n",
      "################################################################################\n",
      "\n",
      "\n",
      "Ep    1\tMaxAvg100: 0.00\tMax: 0.00 [ 0.00, -0.01]\t -- t: 000007 dis: 0.999 sclr: 0.4660 des_dis: 0.3000 \n",
      "Ep    2\tMaxAvg100: 0.00\tMax: 0.00 [ 0.00, -0.01]\t -- t: 000021 dis: 1.003 sclr: 0.4049 des_dis: 0.2999 \n",
      "Ep    3\tMaxAvg100: 0.00\tMax: 0.10 [ 0.09,  0.10]\t -- t: 000076 dis: 0.999 sclr: 0.2329 des_dis: 0.2998 \n",
      "Ep    4\tMaxAvg100: 0.02\tMax: 0.00 [ 0.00, -0.01]\t -- t: 000091 dis: 1.058 sclr: 0.2003 des_dis: 0.2997 [S]\n",
      "Ep    5\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 000105 dis: 0.819 sclr: 0.1776 des_dis: 0.2997 \n",
      "Ep    6\tMaxAvg100: 0.01\tMax: 0.00 [-0.01,  0.00]\t -- t: 000119 dis: 0.790 sclr: 0.1672 des_dis: 0.2996 \n",
      "Ep    7\tMaxAvg100: 0.01\tMax: 0.00 [-0.01,  0.00]\t -- t: 000133 dis: 0.726 sclr: 0.1512 des_dis: 0.2996 \n",
      "Ep    8\tMaxAvg100: 0.01\tMax: 0.00 [-0.01,  0.00]\t -- t: 000147 dis: 0.649 sclr: 0.1395 des_dis: 0.2996 \n",
      "Ep    9\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 000161 dis: 0.773 sclr: 0.1367 des_dis: 0.2995 \n",
      "Ep   10\tMaxAvg100: 0.01\tMax: 0.00 [-0.01,  0.00]\t -- t: 000176 dis: 1.022 sclr: 0.1327 des_dis: 0.2995 \n",
      "Ep   11\tMaxAvg100: 0.01\tMax: 0.10 [ 0.10, -0.01]\t -- t: 000207 dis: 0.847 sclr: 0.1212 des_dis: 0.2994 \n",
      "Ep   12\tMaxAvg100: 0.01\tMax: 0.00 [-0.01,  0.00]\t -- t: 000221 dis: 0.942 sclr: 0.1164 des_dis: 0.2993 \n",
      "Ep   13\tMaxAvg100: 0.01\tMax: 0.10 [ 0.10, -0.01]\t -- t: 000252 dis: 0.591 sclr: 0.1176 des_dis: 0.2992 \n",
      "Ep   14\tMaxAvg100: 0.02\tMax: 0.00 [ 0.00, -0.01]\t -- t: 000266 dis: 1.198 sclr: 0.1042 des_dis: 0.2992 \n",
      "Ep   15\tMaxAvg100: 0.02\tMax: 0.00 [-0.01,  0.00]\t -- t: 000281 dis: 0.486 sclr: 0.1053 des_dis: 0.2992 \n",
      "Ep   16\tMaxAvg100: 0.02\tMax: 0.00 [ 0.00, -0.01]\t -- t: 000295 dis: 0.846 sclr: 0.0972 des_dis: 0.2991 \n",
      "Ep   17\tMaxAvg100: 0.01\tMax: 0.00 [-0.01,  0.00]\t -- t: 000309 dis: 0.981 sclr: 0.0915 des_dis: 0.2991 \n",
      "Ep   18\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 000323 dis: 0.628 sclr: 0.0879 des_dis: 0.2990 \n",
      "Ep   19\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 000337 dis: 0.395 sclr: 0.0897 des_dis: 0.2990 \n",
      "Ep   20\tMaxAvg100: 0.01\tMax: 0.20 [ 0.20,  0.09]\t -- t: 000410 dis: 1.115 sclr: 0.0819 des_dis: 0.2988 \n",
      "Ep   21\tMaxAvg100: 0.02\tMax: 0.10 [ 0.10, -0.01]\t -- t: 000441 dis: 0.802 sclr: 0.0704 des_dis: 0.2987 [S]\n",
      "Ep   22\tMaxAvg100: 0.02\tMax: 0.00 [ 0.00, -0.01]\t -- t: 000455 dis: 0.689 sclr: 0.0690 des_dis: 0.2986 [S]\n",
      "Ep   23\tMaxAvg100: 0.02\tMax: 0.00 [ 0.00, -0.01]\t -- t: 000469 dis: 0.796 sclr: 0.0663 des_dis: 0.2986 \n",
      "Ep   24\tMaxAvg100: 0.02\tMax: 0.00 [-0.01,  0.00]\t -- t: 000483 dis: 0.477 sclr: 0.0650 des_dis: 0.2986 \n",
      "Ep   25\tMaxAvg100: 0.02\tMax: 0.00 [ 0.00, -0.01]\t -- t: 000498 dis: 0.853 sclr: 0.0594 des_dis: 0.2985 \n",
      "Ep   26\tMaxAvg100: 0.02\tMax: 0.00 [-0.01,  0.00]\t -- t: 000512 dis: 0.018 sclr: 0.0644 des_dis: 0.2985 \n",
      "Ep   27\tMaxAvg100: 0.02\tMax: 0.00 [ 0.00, -0.01]\t -- t: 000526 dis: 0.814 sclr: 0.0631 des_dis: 0.2984 \n",
      "Ep   28\tMaxAvg100: 0.02\tMax: 0.00 [-0.01,  0.00]\t -- t: 000540 dis: 0.155 sclr: 0.0670 des_dis: 0.2984 \n",
      "Ep   29\tMaxAvg100: 0.02\tMax: 0.00 [-0.01,  0.00]\t -- t: 000554 dis: 0.080 sclr: 0.0741 des_dis: 0.2983 \n",
      "Ep   30\tMaxAvg100: 0.02\tMax: 0.00 [ 0.00, -0.01]\t -- t: 000569 dis: 0.868 sclr: 0.0663 des_dis: 0.2983 \n",
      "Ep   31\tMaxAvg100: 0.02\tMax: 0.00 [-0.01,  0.00]\t -- t: 000583 dis: 0.562 sclr: 0.0663 des_dis: 0.2983 \n",
      "Ep   32\tMaxAvg100: 0.02\tMax: 0.00 [ 0.00, -0.01]\t -- t: 000597 dis: 0.851 sclr: 0.0612 des_dis: 0.2982 \n",
      "Ep   33\tMaxAvg100: 0.02\tMax: 0.00 [-0.01,  0.00]\t -- t: 000611 dis: 0.110 sclr: 0.0663 des_dis: 0.2982 \n",
      "Ep   34\tMaxAvg100: 0.02\tMax: 0.00 [-0.01,  0.00]\t -- t: 000625 dis: 0.376 sclr: 0.0677 des_dis: 0.2981 \n",
      "Ep   35\tMaxAvg100: 0.02\tMax: 0.00 [-0.01,  0.00]\t -- t: 000639 dis: 0.279 sclr: 0.0719 des_dis: 0.2981 \n",
      "Ep   36\tMaxAvg100: 0.02\tMax: 0.00 [ 0.00, -0.01]\t -- t: 000654 dis: 0.979 sclr: 0.0657 des_dis: 0.2980 \n",
      "Ep   37\tMaxAvg100: 0.02\tMax: 0.00 [-0.01,  0.00]\t -- t: 000668 dis: 0.345 sclr: 0.0684 des_dis: 0.2980 \n",
      "Ep   38\tMaxAvg100: 0.02\tMax: 0.00 [ 0.00, -0.01]\t -- t: 000682 dis: 0.656 sclr: 0.0684 des_dis: 0.2980 \n",
      "Ep   39\tMaxAvg100: 0.02\tMax: 0.00 [ 0.00, -0.01]\t -- t: 000696 dis: 0.863 sclr: 0.0684 des_dis: 0.2979 \n",
      "Ep   40\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 000710 dis: 0.969 sclr: 0.0657 des_dis: 0.2979 \n",
      "Ep   41\tMaxAvg100: 0.01\tMax: 0.00 [-0.01,  0.00]\t -- t: 000725 dis: 0.493 sclr: 0.0650 des_dis: 0.2978 \n",
      "Ep   42\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 000739 dis: 0.739 sclr: 0.0624 des_dis: 0.2978 \n",
      "Ep   43\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 000753 dis: 1.140 sclr: 0.0588 des_dis: 0.2977 \n",
      "Ep   44\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 000767 dis: 0.969 sclr: 0.0553 des_dis: 0.2977 \n",
      "Ep   45\tMaxAvg100: 0.01\tMax: 0.00 [-0.01,  0.00]\t -- t: 000784 dis: 0.928 sclr: 0.0496 des_dis: 0.2977 \n",
      "Ep   46\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 000798 dis: 0.718 sclr: 0.0496 des_dis: 0.2976 \n",
      "Ep   47\tMaxAvg100: 0.01\tMax: 0.00 [-0.01,  0.00]\t -- t: 000812 dis: 0.375 sclr: 0.0486 des_dis: 0.2976 \n",
      "Ep   48\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 000826 dis: 0.568 sclr: 0.0486 des_dis: 0.2975 \n",
      "Ep   49\tMaxAvg100: 0.01\tMax: 0.00 [-0.01,  0.00]\t -- t: 000841 dis: 0.645 sclr: 0.0491 des_dis: 0.2975 \n",
      "Ep   50\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 000855 dis: 0.621 sclr: 0.0491 des_dis: 0.2974 \n",
      "Ep   51\tMaxAvg100: 0.01\tMax: 0.00 [-0.01,  0.00]\t -- t: 000869 dis: 0.712 sclr: 0.0501 des_dis: 0.2974 \n",
      "Ep   52\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 000883 dis: 0.222 sclr: 0.0542 des_dis: 0.2974 \n",
      "Ep   53\tMaxAvg100: 0.01\tMax: 0.00 [-0.01,  0.00]\t -- t: 000897 dis: 0.973 sclr: 0.0532 des_dis: 0.2973 \n",
      "Ep   54\tMaxAvg100: 0.01\tMax: 0.00 [-0.01,  0.00]\t -- t: 000912 dis: 0.776 sclr: 0.0506 des_dis: 0.2973 \n",
      "Ep   55\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 000926 dis: 0.791 sclr: 0.0506 des_dis: 0.2972 \n",
      "Ep   56\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 000940 dis: 0.863 sclr: 0.0486 des_dis: 0.2972 \n",
      "Ep   57\tMaxAvg100: 0.01\tMax: 0.00 [-0.01,  0.00]\t -- t: 000954 dis: 0.571 sclr: 0.0476 des_dis: 0.2972 \n",
      "Ep   58\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 000968 dis: 0.658 sclr: 0.0448 des_dis: 0.2971 \n",
      "Ep   59\tMaxAvg100: 0.01\tMax: 0.00 [-0.01,  0.00]\t -- t: 000983 dis: 0.439 sclr: 0.0462 des_dis: 0.2971 \n",
      "Ep   60\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 000997 dis: 0.595 sclr: 0.0453 des_dis: 0.2970 \n",
      "Ep   61\tMaxAvg100: 0.01\tMax: 0.00 [-0.01,  0.00]\t -- t: 001011 dis: 0.520 sclr: 0.0471 des_dis: 0.2970 \n",
      "Ep   62\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 001025 dis: 1.012 sclr: 0.0453 des_dis: 0.2969 \n",
      "Ep   63\tMaxAvg100: 0.01\tMax: 0.00 [-0.01,  0.00]\t -- t: 001039 dis: 0.413 sclr: 0.0453 des_dis: 0.2969 \n",
      "Ep   64\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 001054 dis: 0.509 sclr: 0.0476 des_dis: 0.2969 \n",
      "Ep   65\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 001068 dis: 0.667 sclr: 0.0476 des_dis: 0.2968 \n",
      "Ep   66\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 001082 dis: 0.205 sclr: 0.0516 des_dis: 0.2968 \n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Ep   67\tMaxAvg100: 0.01\tMax: 0.00 [-0.01,  0.00]\t -- t: 001096 dis: 0.722 sclr: 0.0526 des_dis: 0.2967 \n",
      "Ep   68\tMaxAvg100: 0.01\tMax: 0.00 [-0.01,  0.00]\t -- t: 001110 dis: 0.515 sclr: 0.0526 des_dis: 0.2967 \n",
      "Ep   69\tMaxAvg100: 0.01\tMax: 0.00 [-0.01,  0.00]\t -- t: 001125 dis: 0.956 sclr: 0.0511 des_dis: 0.2966 \n",
      "Ep   70\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 001139 dis: 0.890 sclr: 0.0501 des_dis: 0.2966 \n",
      "Ep   71\tMaxAvg100: 0.01\tMax: 0.00 [-0.01,  0.00]\t -- t: 001153 dis: 1.043 sclr: 0.0491 des_dis: 0.2966 \n",
      "Ep   72\tMaxAvg100: 0.01\tMax: 0.00 [-0.01,  0.00]\t -- t: 001167 dis: 1.002 sclr: 0.0471 des_dis: 0.2965 \n",
      "Ep   73\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 001181 dis: 1.173 sclr: 0.0444 des_dis: 0.2965 \n",
      "Ep   74\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 001196 dis: 0.738 sclr: 0.0414 des_dis: 0.2964 \n",
      "Ep   75\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 001210 dis: 0.655 sclr: 0.0414 des_dis: 0.2964 \n",
      "Ep   76\tMaxAvg100: 0.01\tMax: 0.00 [-0.01,  0.00]\t -- t: 001224 dis: 0.623 sclr: 0.0389 des_dis: 0.2964 \n",
      "Ep   77\tMaxAvg100: 0.01\tMax: 0.00 [-0.01,  0.00]\t -- t: 001238 dis: 0.603 sclr: 0.0382 des_dis: 0.2963 \n",
      "Ep   78\tMaxAvg100: 0.01\tMax: 0.00 [-0.01,  0.00]\t -- t: 001252 dis: 0.294 sclr: 0.0397 des_dis: 0.2963 \n",
      "Ep   79\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 001267 dis: 1.393 sclr: 0.0356 des_dis: 0.2962 \n",
      "Ep   80\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 001281 dis: 0.371 sclr: 0.0378 des_dis: 0.2962 \n",
      "Ep   81\tMaxAvg100: 0.01\tMax: 0.00 [-0.01,  0.00]\t -- t: 001295 dis: 0.506 sclr: 0.0393 des_dis: 0.2961 \n",
      "Ep   82\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 001309 dis: 0.923 sclr: 0.0370 des_dis: 0.2961 \n",
      "Ep   83\tMaxAvg100: 0.01\tMax: 0.00 [-0.01,  0.00]\t -- t: 001323 dis: 0.591 sclr: 0.0356 des_dis: 0.2961 \n",
      "Ep   84\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 001338 dis: 0.593 sclr: 0.0352 des_dis: 0.2960 \n",
      "Ep   85\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 001352 dis: 0.549 sclr: 0.0367 des_dis: 0.2960 \n",
      "Ep   86\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 001366 dis: 0.627 sclr: 0.0359 des_dis: 0.2959 \n",
      "Ep   87\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 001380 dis: 0.552 sclr: 0.0374 des_dis: 0.2959 \n",
      "Ep   88\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 001394 dis: 1.031 sclr: 0.0352 des_dis: 0.2958 \n",
      "Ep   89\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 001409 dis: 0.863 sclr: 0.0363 des_dis: 0.2958 \n",
      "Ep   90\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 001423 dis: 1.288 sclr: 0.0328 des_dis: 0.2958 \n",
      "Ep   91\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 001437 dis: 0.192 sclr: 0.0349 des_dis: 0.2957 \n",
      "Ep   92\tMaxAvg100: 0.01\tMax: 0.00 [-0.01,  0.00]\t -- t: 001451 dis: 0.455 sclr: 0.0356 des_dis: 0.2957 \n",
      "Ep   93\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 001465 dis: 0.677 sclr: 0.0370 des_dis: 0.2956 \n",
      "Ep   94\tMaxAvg100: 0.01\tMax: 0.00 [-0.01,  0.00]\t -- t: 001480 dis: 0.867 sclr: 0.0359 des_dis: 0.2956 \n",
      "Ep   95\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 001494 dis: 0.613 sclr: 0.0352 des_dis: 0.2956 \n",
      "Ep   96\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 001508 dis: 1.153 sclr: 0.0331 des_dis: 0.2955 \n",
      "Ep   97\tMaxAvg100: 0.01\tMax: 0.00 [-0.01,  0.00]\t -- t: 001522 dis: 0.465 sclr: 0.0338 des_dis: 0.2955 \n",
      "Ep   98\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 001536 dis: 0.977 sclr: 0.0338 des_dis: 0.2954 \n",
      "Ep   99\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 001551 dis: 0.722 sclr: 0.0335 des_dis: 0.2954 \n",
      "Ep  100\tMaxAvg100: 0.01\tMax: 0.00 [-0.01,  0.00]\t -- t: 001565 dis: 0.978 sclr: 0.0315 des_dis: 0.2953 \n",
      "Ep  101\tMaxAvg100: 0.01\tMax: 0.00 [-0.01,  0.00]\t -- t: 001579 dis: 0.429 sclr: 0.0335 des_dis: 0.2953 \n",
      "Ep  102\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 001593 dis: 1.182 sclr: 0.0315 des_dis: 0.2953 \n",
      "Ep  103\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 001607 dis: 0.891 sclr: 0.0309 des_dis: 0.2952 \n",
      "Ep  104\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 001622 dis: 0.774 sclr: 0.0318 des_dis: 0.2952 \n",
      "Ep  105\tMaxAvg100: 0.01\tMax: 0.00 [-0.01,  0.00]\t -- t: 001636 dis: 0.671 sclr: 0.0306 des_dis: 0.2951 \n",
      "Ep  106\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 001650 dis: 0.481 sclr: 0.0325 des_dis: 0.2951 \n",
      "Ep  107\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 001664 dis: 0.488 sclr: 0.0338 des_dis: 0.2950 \n",
      "Ep  108\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 001678 dis: 0.840 sclr: 0.0312 des_dis: 0.2950 \n",
      "Ep  109\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 001693 dis: 0.961 sclr: 0.0297 des_dis: 0.2950 \n",
      "Ep  110\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 001707 dis: 0.374 sclr: 0.0309 des_dis: 0.2949 \n",
      "Ep  111\tMaxAvg100: 0.01\tMax: 0.00 [-0.01,  0.00]\t -- t: 001721 dis: 0.464 sclr: 0.0328 des_dis: 0.2949 \n",
      "Ep  112\tMaxAvg100: 0.01\tMax: 0.00 [-0.01,  0.00]\t -- t: 001735 dis: 0.809 sclr: 0.0322 des_dis: 0.2948 \n",
      "Ep  113\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 001749 dis: 0.837 sclr: 0.0315 des_dis: 0.2948 \n",
      "Ep  114\tMaxAvg100: 0.01\tMax: 0.00 [-0.01,  0.00]\t -- t: 001764 dis: 0.746 sclr: 0.0318 des_dis: 0.2948 \n",
      "Ep  115\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 001778 dis: 0.576 sclr: 0.0325 des_dis: 0.2947 \n",
      "Ep  116\tMaxAvg100: 0.01\tMax: 0.00 [-0.01,  0.00]\t -- t: 001792 dis: 0.487 sclr: 0.0331 des_dis: 0.2947 \n",
      "Ep  117\tMaxAvg100: 0.01\tMax: 0.00 [-0.01,  0.00]\t -- t: 001806 dis: 0.791 sclr: 0.0318 des_dis: 0.2946 \n",
      "Ep  118\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 001820 dis: 0.457 sclr: 0.0331 des_dis: 0.2946 \n",
      "Ep  119\tMaxAvg100: 0.01\tMax: 0.00 [-0.01,  0.00]\t -- t: 001835 dis: 0.592 sclr: 0.0328 des_dis: 0.2945 \n",
      "Ep  120\tMaxAvg100: 0.01\tMax: 0.00 [-0.01,  0.00]\t -- t: 001849 dis: 0.885 sclr: 0.0315 des_dis: 0.2945 \n",
      "Ep  121\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 001863 dis: 0.664 sclr: 0.0303 des_dis: 0.2945 \n",
      "Ep  122\tMaxAvg100: 0.01\tMax: 0.00 [-0.01,  0.00]\t -- t: 001877 dis: 0.988 sclr: 0.0279 des_dis: 0.2944 \n",
      "Ep  123\tMaxAvg100: 0.01\tMax: 0.00 [-0.01,  0.00]\t -- t: 001891 dis: 0.876 sclr: 0.0268 des_dis: 0.2944 \n",
      "Ep  124\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 001906 dis: 0.289 sclr: 0.0300 des_dis: 0.2943 \n",
      "Ep  125\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 001920 dis: 0.243 sclr: 0.0325 des_dis: 0.2943 \n",
      "Ep  126\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 001934 dis: 0.335 sclr: 0.0345 des_dis: 0.2943 \n",
      "Ep  127\tMaxAvg100: 0.01\tMax: 0.00 [-0.01,  0.00]\t -- t: 001948 dis: 0.656 sclr: 0.0331 des_dis: 0.2942 \n",
      "Ep  128\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 001962 dis: 0.565 sclr: 0.0338 des_dis: 0.2942 \n",
      "Ep  129\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 001977 dis: 0.311 sclr: 0.0363 des_dis: 0.2941 \n",
      "Ep  130\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 001991 dis: 0.553 sclr: 0.0385 des_dis: 0.2941 \n",
      "Ep  131\tMaxAvg100: 0.01\tMax: 0.00 [-0.01,  0.00]\t -- t: 002005 dis: 0.594 sclr: 0.0393 des_dis: 0.2940 \n",
      "Ep  132\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 002019 dis: 0.275 sclr: 0.0418 des_dis: 0.2940 \n",
      "Ep  133\tMaxAvg100: 0.01\tMax: 0.00 [-0.01,  0.00]\t -- t: 002033 dis: 0.850 sclr: 0.0401 des_dis: 0.2940 \n",
      "Ep  134\tMaxAvg100: 0.01\tMax: 0.00 [-0.01,  0.00]\t -- t: 002048 dis: 0.804 sclr: 0.0382 des_dis: 0.2939 \n",
      "Ep  135\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 002062 dis: 0.247 sclr: 0.0397 des_dis: 0.2939 \n",
      "Ep  136\tMaxAvg100: 0.01\tMax: 0.00 [-0.01,  0.00]\t -- t: 002076 dis: 0.885 sclr: 0.0382 des_dis: 0.2938 \n",
      "Ep  137\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 002090 dis: 0.477 sclr: 0.0397 des_dis: 0.2938 \n",
      "Ep  138\tMaxAvg100: 0.00\tMax: 0.00 [-0.01,  0.00]\t -- t: 002104 dis: 1.023 sclr: 0.0389 des_dis: 0.2938 \n",
      "Ep  139\tMaxAvg100: 0.00\tMax: 0.00 [-0.01,  0.00]\t -- t: 002119 dis: 0.879 sclr: 0.0378 des_dis: 0.2937 \n",
      "Ep  140\tMaxAvg100: 0.00\tMax: 0.00 [-0.01,  0.00]\t -- t: 002133 dis: 1.309 sclr: 0.0342 des_dis: 0.2937 \n",
      "Ep  141\tMaxAvg100: 0.00\tMax: 0.00 [ 0.00, -0.01]\t -- t: 002147 dis: 0.481 sclr: 0.0370 des_dis: 0.2936 \n",
      "Ep  142\tMaxAvg100: 0.00\tMax: 0.00 [ 0.00, -0.01]\t -- t: 002161 dis: 0.358 sclr: 0.0393 des_dis: 0.2936 \n",
      "Ep  143\tMaxAvg100: 0.00\tMax: 0.00 [-0.01,  0.00]\t -- t: 002175 dis: 1.071 sclr: 0.0370 des_dis: 0.2935 \n",
      "Ep  144\tMaxAvg100: 0.00\tMax: 0.00 [ 0.00, -0.01]\t -- t: 002190 dis: 0.632 sclr: 0.0382 des_dis: 0.2935 \n",
      "Ep  145\tMaxAvg100: 0.00\tMax: 0.00 [-0.01,  0.00]\t -- t: 002204 dis: 0.748 sclr: 0.0382 des_dis: 0.2935 \n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Ep  146\tMaxAvg100: 0.00\tMax: 0.00 [-0.01,  0.00]\t -- t: 002218 dis: 0.906 sclr: 0.0367 des_dis: 0.2934 \n",
      "Ep  147\tMaxAvg100: 0.00\tMax: 0.00 [ 0.00, -0.01]\t -- t: 002232 dis: 0.254 sclr: 0.0397 des_dis: 0.2934 \n",
      "Ep  148\tMaxAvg100: 0.00\tMax: 0.00 [ 0.00, -0.01]\t -- t: 002246 dis: 0.613 sclr: 0.0405 des_dis: 0.2933 \n",
      "Ep  149\tMaxAvg100: 0.00\tMax: 0.00 [-0.01,  0.00]\t -- t: 002261 dis: 0.917 sclr: 0.0378 des_dis: 0.2933 \n",
      "Ep  150\tMaxAvg100: 0.00\tMax: 0.00 [-0.01,  0.00]\t -- t: 002275 dis: 0.917 sclr: 0.0356 des_dis: 0.2933 \n",
      "Ep  151\tMaxAvg100: 0.00\tMax: 0.00 [-0.01,  0.00]\t -- t: 002289 dis: 0.766 sclr: 0.0363 des_dis: 0.2932 \n",
      "Ep  152\tMaxAvg100: 0.00\tMax: 0.00 [-0.01,  0.00]\t -- t: 002303 dis: 0.857 sclr: 0.0356 des_dis: 0.2932 \n",
      "Ep  153\tMaxAvg100: 0.00\tMax: 0.00 [ 0.00, -0.01]\t -- t: 002317 dis: 0.402 sclr: 0.0385 des_dis: 0.2931 \n",
      "Ep  154\tMaxAvg100: 0.00\tMax: 0.00 [ 0.00, -0.01]\t -- t: 002332 dis: 0.737 sclr: 0.0397 des_dis: 0.2931 \n",
      "Ep  155\tMaxAvg100: 0.00\tMax: 0.00 [ 0.00, -0.01]\t -- t: 002346 dis: 0.419 sclr: 0.0405 des_dis: 0.2930 \n",
      "Ep  156\tMaxAvg100: 0.00\tMax: 0.00 [-0.01,  0.00]\t -- t: 002360 dis: 0.775 sclr: 0.0397 des_dis: 0.2930 \n",
      "Ep  157\tMaxAvg100: 0.00\tMax: 0.00 [ 0.00, -0.01]\t -- t: 002374 dis: 0.636 sclr: 0.0405 des_dis: 0.2930 \n",
      "Ep  158\tMaxAvg100: 0.00\tMax: 0.00 [ 0.00, -0.01]\t -- t: 002388 dis: 0.529 sclr: 0.0405 des_dis: 0.2929 \n",
      "Ep  159\tMaxAvg100: 0.00\tMax: 0.00 [-0.01,  0.00]\t -- t: 002403 dis: 0.938 sclr: 0.0401 des_dis: 0.2929 \n",
      "Ep  160\tMaxAvg100: 0.00\tMax: 0.00 [ 0.00, -0.01]\t -- t: 002417 dis: 0.496 sclr: 0.0426 des_dis: 0.2928 \n",
      "Ep  161\tMaxAvg100: 0.00\tMax: 0.00 [-0.01,  0.00]\t -- t: 002431 dis: 0.940 sclr: 0.0409 des_dis: 0.2928 \n",
      "Ep  162\tMaxAvg100: 0.00\tMax: 0.00 [ 0.00, -0.01]\t -- t: 002445 dis: 0.417 sclr: 0.0435 des_dis: 0.2928 \n",
      "Ep  163\tMaxAvg100: 0.00\tMax: 0.00 [-0.01,  0.00]\t -- t: 002459 dis: 0.665 sclr: 0.0426 des_dis: 0.2927 \n",
      "Ep  164\tMaxAvg100: 0.00\tMax: 0.00 [ 0.00, -0.01]\t -- t: 002474 dis: 0.852 sclr: 0.0439 des_dis: 0.2927 \n",
      "Ep  165\tMaxAvg100: 0.00\tMax: 0.00 [ 0.00, -0.01]\t -- t: 002488 dis: 1.059 sclr: 0.0439 des_dis: 0.2926 \n",
      "Ep  166\tMaxAvg100: 0.00\tMax: 0.00 [ 0.00, -0.01]\t -- t: 002502 dis: 1.057 sclr: 0.0414 des_dis: 0.2926 \n",
      "Ep  167\tMaxAvg100: 0.00\tMax: 0.00 [ 0.00, -0.01]\t -- t: 002516 dis: 0.488 sclr: 0.0405 des_dis: 0.2925 \n",
      "Ep  168\tMaxAvg100: 0.00\tMax: 0.00 [ 0.00, -0.01]\t -- t: 002530 dis: 0.387 sclr: 0.0439 des_dis: 0.2925 \n",
      "Ep  169\tMaxAvg100: 0.00\tMax: 0.00 [ 0.00, -0.01]\t -- t: 002545 dis: 1.048 sclr: 0.0401 des_dis: 0.2925 \n",
      "Ep  170\tMaxAvg100: 0.00\tMax: 0.00 [ 0.00, -0.01]\t -- t: 002559 dis: 0.474 sclr: 0.0418 des_dis: 0.2924 \n",
      "Ep  171\tMaxAvg100: 0.00\tMax: 0.00 [ 0.00, -0.01]\t -- t: 002573 dis: 0.398 sclr: 0.0435 des_dis: 0.2924 \n",
      "Ep  172\tMaxAvg100: 0.00\tMax: 0.00 [ 0.00, -0.01]\t -- t: 002587 dis: 0.778 sclr: 0.0444 des_dis: 0.2923 \n",
      "Ep  173\tMaxAvg100: 0.00\tMax: 0.00 [-0.01,  0.00]\t -- t: 002601 dis: 0.632 sclr: 0.0435 des_dis: 0.2923 \n",
      "Ep  174\tMaxAvg100: 0.00\tMax: 0.00 [ 0.00, -0.01]\t -- t: 002616 dis: 0.629 sclr: 0.0439 des_dis: 0.2923 \n",
      "Ep  175\tMaxAvg100: 0.00\tMax: 0.00 [-0.01,  0.00]\t -- t: 002630 dis: 0.955 sclr: 0.0414 des_dis: 0.2922 \n",
      "Ep  176\tMaxAvg100: 0.00\tMax: 0.00 [ 0.00, -0.01]\t -- t: 002644 dis: 0.397 sclr: 0.0430 des_dis: 0.2922 \n",
      "Ep  177\tMaxAvg100: 0.00\tMax: 0.00 [-0.01,  0.00]\t -- t: 002667 dis: 0.974 sclr: 0.0401 des_dis: 0.2921 \n",
      "Ep  178\tMaxAvg100: 0.00\tMax: 0.00 [-0.01,  0.00]\t -- t: 002681 dis: 0.494 sclr: 0.0418 des_dis: 0.2921 \n",
      "Ep  179\tMaxAvg100: 0.00\tMax: 0.00 [-0.01,  0.00]\t -- t: 002695 dis: 1.140 sclr: 0.0393 des_dis: 0.2920 \n",
      "Ep  180\tMaxAvg100: 0.00\tMax: 0.00 [ 0.00, -0.01]\t -- t: 002709 dis: 1.012 sclr: 0.0370 des_dis: 0.2920 \n",
      "Ep  181\tMaxAvg100: 0.00\tMax: 0.00 [-0.01,  0.00]\t -- t: 002723 dis: 0.247 sclr: 0.0393 des_dis: 0.2919 \n",
      "Ep  182\tMaxAvg100: 0.00\tMax: 0.00 [-0.01,  0.00]\t -- t: 002737 dis: 1.041 sclr: 0.0370 des_dis: 0.2919 \n",
      "Ep  183\tMaxAvg100: 0.00\tMax: 0.00 [-0.01,  0.00]\t -- t: 002751 dis: 0.688 sclr: 0.0356 des_dis: 0.2919 \n",
      "Ep  184\tMaxAvg100: 0.00\tMax: 0.00 [ 0.00, -0.01]\t -- t: 002765 dis: 0.891 sclr: 0.0349 des_dis: 0.2918 \n",
      "Ep  185\tMaxAvg100: 0.00\tMax: 0.00 [-0.01,  0.00]\t -- t: 002780 dis: 0.743 sclr: 0.0338 des_dis: 0.2918 \n",
      "Ep  186\tMaxAvg100: 0.00\tMax: 0.09 [ 0.00,  0.09]\t -- t: 002809 dis: 0.709 sclr: 0.0349 des_dis: 0.2917 \n",
      "Ep  187\tMaxAvg100: 0.00\tMax: 0.00 [-0.01,  0.00]\t -- t: 002824 dis: 0.683 sclr: 0.0331 des_dis: 0.2916 \n",
      "Ep  188\tMaxAvg100: 0.00\tMax: 0.00 [-0.01,  0.00]\t -- t: 002838 dis: 0.855 sclr: 0.0312 des_dis: 0.2916 \n",
      "Ep  189\tMaxAvg100: 0.00\tMax: 0.00 [-0.01,  0.00]\t -- t: 002853 dis: 0.859 sclr: 0.0303 des_dis: 0.2916 \n",
      "Ep  190\tMaxAvg100: 0.00\tMax: 0.00 [ 0.00, -0.01]\t -- t: 002866 dis: 0.262 sclr: 0.0325 des_dis: 0.2915 \n",
      "Ep  191\tMaxAvg100: 0.00\tMax: 0.00 [ 0.00, -0.01]\t -- t: 002880 dis: 0.746 sclr: 0.0331 des_dis: 0.2915 \n",
      "Ep  192\tMaxAvg100: 0.00\tMax: 0.00 [ 0.00, -0.01]\t -- t: 002905 dis: 0.628 sclr: 0.0335 des_dis: 0.2914 \n",
      "Ep  193\tMaxAvg100: 0.00\tMax: 0.00 [-0.01,  0.00]\t -- t: 002920 dis: 0.800 sclr: 0.0338 des_dis: 0.2914 \n",
      "Ep  194\tMaxAvg100: 0.00\tMax: 0.00 [ 0.00, -0.01]\t -- t: 002934 dis: 0.655 sclr: 0.0345 des_dis: 0.2913 \n",
      "Ep  195\tMaxAvg100: 0.00\tMax: 0.00 [-0.01,  0.00]\t -- t: 002948 dis: 0.689 sclr: 0.0345 des_dis: 0.2913 \n",
      "Ep  196\tMaxAvg100: 0.00\tMax: 0.00 [ 0.00, -0.01]\t -- t: 002964 dis: 0.646 sclr: 0.0352 des_dis: 0.2912 \n",
      "Ep  197\tMaxAvg100: 0.00\tMax: 0.00 [ 0.00, -0.01]\t -- t: 002978 dis: 0.520 sclr: 0.0352 des_dis: 0.2912 \n",
      "Ep  198\tMaxAvg100: 0.00\tMax: 0.10 [ 0.10, -0.01]\t -- t: 003009 dis: 0.600 sclr: 0.0309 des_dis: 0.2911 \n",
      "Ep  199\tMaxAvg100: 0.00\tMax: 0.09 [ 0.00,  0.09]\t -- t: 003040 dis: 0.677 sclr: 0.0325 des_dis: 0.2910 \n",
      "Ep  200\tMaxAvg100: 0.00\tMax: 0.00 [-0.01,  0.00]\t -- t: 003054 dis: 1.111 sclr: 0.0300 des_dis: 0.2910 \n",
      "Ep  201\tMaxAvg100: 0.00\tMax: 0.00 [ 0.00, -0.01]\t -- t: 003068 dis: 0.364 sclr: 0.0325 des_dis: 0.2909 \n",
      "Ep  202\tMaxAvg100: 0.00\tMax: 0.00 [-0.01,  0.00]\t -- t: 003084 dis: 0.758 sclr: 0.0312 des_dis: 0.2909 \n",
      "Ep  203\tMaxAvg100: 0.00\tMax: 0.00 [ 0.00, -0.01]\t -- t: 003099 dis: 0.922 sclr: 0.0315 des_dis: 0.2908 \n",
      "Ep  204\tMaxAvg100: 0.00\tMax: 0.00 [-0.01,  0.00]\t -- t: 003113 dis: 0.819 sclr: 0.0303 des_dis: 0.2908 \n",
      "Ep  205\tMaxAvg100: 0.00\tMax: 0.00 [-0.01,  0.00]\t -- t: 003127 dis: 0.661 sclr: 0.0303 des_dis: 0.2908 \n",
      "Ep  206\tMaxAvg100: 0.00\tMax: 0.00 [ 0.00, -0.01]\t -- t: 003141 dis: 0.657 sclr: 0.0309 des_dis: 0.2907 \n",
      "Ep  207\tMaxAvg100: 0.00\tMax: 0.00 [ 0.00, -0.01]\t -- t: 003155 dis: 0.393 sclr: 0.0328 des_dis: 0.2907 \n",
      "Ep  208\tMaxAvg100: 0.00\tMax: 0.00 [ 0.00, -0.01]\t -- t: 003169 dis: 0.697 sclr: 0.0335 des_dis: 0.2906 \n",
      "Ep  209\tMaxAvg100: 0.00\tMax: 0.00 [-0.01,  0.00]\t -- t: 003183 dis: 0.955 sclr: 0.0322 des_dis: 0.2906 \n",
      "Ep  210\tMaxAvg100: 0.00\tMax: 0.00 [ 0.00, -0.01]\t -- t: 003198 dis: 0.611 sclr: 0.0338 des_dis: 0.2906 \n",
      "Ep  211\tMaxAvg100: 0.00\tMax: 0.00 [-0.01,  0.00]\t -- t: 003216 dis: 0.765 sclr: 0.0331 des_dis: 0.2905 \n",
      "Ep  212\tMaxAvg100: 0.00\tMax: 0.00 [ 0.00, -0.01]\t -- t: 003231 dis: 0.876 sclr: 0.0335 des_dis: 0.2905 \n",
      "Ep  213\tMaxAvg100: 0.00\tMax: 0.00 [-0.01,  0.00]\t -- t: 003245 dis: 1.208 sclr: 0.0309 des_dis: 0.2904 \n",
      "Ep  214\tMaxAvg100: 0.00\tMax: 0.00 [ 0.00, -0.01]\t -- t: 003259 dis: 0.797 sclr: 0.0309 des_dis: 0.2904 \n",
      "Ep  215\tMaxAvg100: 0.00\tMax: 0.00 [ 0.00, -0.01]\t -- t: 003272 dis: 0.737 sclr: 0.0318 des_dis: 0.2903 \n",
      "Ep  216\tMaxAvg100: 0.00\tMax: 0.00 [ 0.00, -0.01]\t -- t: 003287 dis: 1.093 sclr: 0.0309 des_dis: 0.2903 \n",
      "Ep  217\tMaxAvg100: 0.00\tMax: 0.00 [-0.01,  0.00]\t -- t: 003301 dis: 0.771 sclr: 0.0309 des_dis: 0.2903 \n",
      "Ep  218\tMaxAvg100: 0.00\tMax: 0.09 [ 0.00,  0.09]\t -- t: 003329 dis: 0.721 sclr: 0.0303 des_dis: 0.2902 \n",
      "Ep  219\tMaxAvg100: 0.00\tMax: 0.09 [ 0.00,  0.09]\t -- t: 003360 dis: 0.553 sclr: 0.0288 des_dis: 0.2901 \n",
      "Ep  220\tMaxAvg100: 0.00\tMax: 0.00 [-0.01,  0.00]\t -- t: 003375 dis: 0.635 sclr: 0.0291 des_dis: 0.2900 \n",
      "Ep  221\tMaxAvg100: 0.00\tMax: 0.10 [ 0.10, -0.01]\t -- t: 003405 dis: 0.820 sclr: 0.0303 des_dis: 0.2900 \n",
      "Ep  222\tMaxAvg100: 0.00\tMax: 0.00 [-0.01,  0.00]\t -- t: 003420 dis: 0.545 sclr: 0.0306 des_dis: 0.2899 \n",
      "Ep  223\tMaxAvg100: 0.00\tMax: 0.09 [ 0.00,  0.09]\t -- t: 003452 dis: 0.769 sclr: 0.0331 des_dis: 0.2898 \n",
      "Ep  224\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 003467 dis: 0.747 sclr: 0.0322 des_dis: 0.2898 \n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Ep  225\tMaxAvg100: 0.01\tMax: 0.10 [ 0.10, -0.01]\t -- t: 003497 dis: 1.016 sclr: 0.0297 des_dis: 0.2897 \n",
      "Ep  226\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 003513 dis: 0.691 sclr: 0.0274 des_dis: 0.2896 \n",
      "Ep  227\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 003530 dis: 0.692 sclr: 0.0260 des_dis: 0.2896 \n",
      "Ep  228\tMaxAvg100: 0.01\tMax: 0.09 [ 0.00,  0.09]\t -- t: 003560 dis: 0.307 sclr: 0.0277 des_dis: 0.2895 \n",
      "Ep  229\tMaxAvg100: 0.01\tMax: 0.00 [-0.01,  0.00]\t -- t: 003574 dis: 0.710 sclr: 0.0277 des_dis: 0.2895 \n",
      "Ep  230\tMaxAvg100: 0.01\tMax: 0.10 [ 0.10, -0.01]\t -- t: 003606 dis: 0.614 sclr: 0.0294 des_dis: 0.2894 \n",
      "Ep  231\tMaxAvg100: 0.01\tMax: 0.00 [-0.01,  0.00]\t -- t: 003639 dis: 0.653 sclr: 0.0285 des_dis: 0.2893 \n",
      "Ep  232\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 003653 dis: 0.017 sclr: 0.0315 des_dis: 0.2892 \n",
      "Ep  233\tMaxAvg100: 0.01\tMax: 0.00 [-0.01,  0.00]\t -- t: 003667 dis: 0.711 sclr: 0.0315 des_dis: 0.2892 \n",
      "Ep  234\tMaxAvg100: 0.01\tMax: 0.10 [ 0.10, -0.01]\t -- t: 003698 dis: 0.697 sclr: 0.0325 des_dis: 0.2891 \n",
      "Ep  235\tMaxAvg100: 0.01\tMax: 0.00 [-0.01,  0.00]\t -- t: 003712 dis: 0.385 sclr: 0.0331 des_dis: 0.2891 \n",
      "Ep  236\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 003726 dis: 0.146 sclr: 0.0359 des_dis: 0.2890 \n",
      "Ep  237\tMaxAvg100: 0.01\tMax: 0.00 [-0.01,  0.00]\t -- t: 003741 dis: 0.386 sclr: 0.0378 des_dis: 0.2890 \n",
      "Ep  238\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 003755 dis: 0.547 sclr: 0.0385 des_dis: 0.2889 \n",
      "Ep  239\tMaxAvg100: 0.01\tMax: 0.00 [-0.01,  0.00]\t -- t: 003769 dis: 0.722 sclr: 0.0393 des_dis: 0.2889 \n",
      "Ep  240\tMaxAvg100: 0.01\tMax: 0.00 [-0.01,  0.00]\t -- t: 003783 dis: 0.861 sclr: 0.0370 des_dis: 0.2889 \n",
      "Ep  241\tMaxAvg100: 0.01\tMax: 0.00 [-0.01,  0.00]\t -- t: 003797 dis: 0.728 sclr: 0.0363 des_dis: 0.2888 \n",
      "Ep  242\tMaxAvg100: 0.01\tMax: 0.00 [-0.01,  0.00]\t -- t: 003812 dis: 0.757 sclr: 0.0359 des_dis: 0.2888 \n",
      "Ep  243\tMaxAvg100: 0.01\tMax: 0.00 [-0.01,  0.00]\t -- t: 003826 dis: 0.626 sclr: 0.0367 des_dis: 0.2887 \n",
      "Ep  244\tMaxAvg100: 0.01\tMax: 0.00 [-0.01,  0.00]\t -- t: 003840 dis: 0.923 sclr: 0.0352 des_dis: 0.2887 \n",
      "Ep  245\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 003853 dis: 0.740 sclr: 0.0349 des_dis: 0.2887 \n",
      "Ep  246\tMaxAvg100: 0.01\tMax: 0.10 [-0.01,  0.10]\t -- t: 003892 dis: 0.622 sclr: 0.0345 des_dis: 0.2885 \n",
      "Ep  247\tMaxAvg100: 0.01\tMax: 0.00 [-0.01,  0.00]\t -- t: 003907 dis: 0.318 sclr: 0.0356 des_dis: 0.2885 \n",
      "Ep  248\tMaxAvg100: 0.01\tMax: 0.10 [-0.01,  0.10]\t -- t: 003938 dis: 0.571 sclr: 0.0389 des_dis: 0.2884 \n",
      "Ep  249\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 003951 dis: 0.460 sclr: 0.0409 des_dis: 0.2884 \n",
      "Ep  250\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 003965 dis: 1.238 sclr: 0.0385 des_dis: 0.2883 \n",
      "Ep  251\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 003979 dis: 0.819 sclr: 0.0393 des_dis: 0.2883 \n",
      "Ep  252\tMaxAvg100: 0.01\tMax: 0.00 [-0.01,  0.00]\t -- t: 003993 dis: 0.631 sclr: 0.0401 des_dis: 0.2883 \n",
      "Ep  253\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 004007 dis: 0.870 sclr: 0.0401 des_dis: 0.2882 \n",
      "Ep  254\tMaxAvg100: 0.01\tMax: 0.00 [-0.01,  0.00]\t -- t: 004021 dis: 0.538 sclr: 0.0401 des_dis: 0.2882 \n",
      "Ep  255\tMaxAvg100: 0.01\tMax: 0.00 [-0.01,  0.00]\t -- t: 004037 dis: 0.317 sclr: 0.0409 des_dis: 0.2881 \n",
      "Ep  256\tMaxAvg100: 0.01\tMax: 0.10 [ 0.10, -0.01]\t -- t: 004068 dis: 0.708 sclr: 0.0422 des_dis: 0.2880 \n",
      "Ep  257\tMaxAvg100: 0.01\tMax: 0.00 [-0.01,  0.00]\t -- t: 004084 dis: 0.327 sclr: 0.0457 des_dis: 0.2880 \n",
      "Ep  258\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 004098 dis: 0.822 sclr: 0.0467 des_dis: 0.2880 \n",
      "Ep  259\tMaxAvg100: 0.01\tMax: 0.00 [-0.01,  0.00]\t -- t: 004112 dis: 0.648 sclr: 0.0467 des_dis: 0.2879 \n",
      "Ep  260\tMaxAvg100: 0.01\tMax: 0.00 [-0.01,  0.00]\t -- t: 004129 dis: 0.869 sclr: 0.0453 des_dis: 0.2879 \n",
      "Ep  261\tMaxAvg100: 0.01\tMax: 0.10 [ 0.10, -0.01]\t -- t: 004159 dis: 0.363 sclr: 0.0453 des_dis: 0.2878 \n",
      "Ep  262\tMaxAvg100: 0.01\tMax: 0.09 [ 0.00,  0.09]\t -- t: 004190 dis: 0.932 sclr: 0.0430 des_dis: 0.2877 \n",
      "Ep  263\tMaxAvg100: 0.01\tMax: 0.00 [-0.01,  0.00]\t -- t: 004204 dis: 1.031 sclr: 0.0414 des_dis: 0.2876 \n",
      "Ep  264\tMaxAvg100: 0.01\tMax: 0.00 [-0.01,  0.00]\t -- t: 004219 dis: 0.581 sclr: 0.0418 des_dis: 0.2876 \n",
      "Ep  265\tMaxAvg100: 0.01\tMax: 0.09 [ 0.00,  0.09]\t -- t: 004250 dis: 0.641 sclr: 0.0439 des_dis: 0.2875 \n",
      "Ep  266\tMaxAvg100: 0.01\tMax: 0.00 [-0.01,  0.00]\t -- t: 004264 dis: 0.688 sclr: 0.0422 des_dis: 0.2875 \n",
      "Ep  267\tMaxAvg100: 0.01\tMax: 0.10 [ 0.09,  0.10]\t -- t: 004320 dis: 0.984 sclr: 0.0430 des_dis: 0.2873 \n",
      "Ep  268\tMaxAvg100: 0.01\tMax: 0.09 [ 0.00,  0.09]\t -- t: 004351 dis: 0.480 sclr: 0.0481 des_dis: 0.2872 \n",
      "Ep  269\tMaxAvg100: 0.01\tMax: 0.00 [-0.01,  0.00]\t -- t: 004365 dis: 0.832 sclr: 0.0462 des_dis: 0.2872 \n",
      "Ep  270\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 004379 dis: 0.390 sclr: 0.0471 des_dis: 0.2871 \n",
      "Ep  271\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 004392 dis: 0.439 sclr: 0.0476 des_dis: 0.2871 \n",
      "Ep  272\tMaxAvg100: 0.01\tMax: 0.00 [-0.01,  0.00]\t -- t: 004407 dis: 1.002 sclr: 0.0462 des_dis: 0.2871 \n",
      "Ep  273\tMaxAvg100: 0.01\tMax: 0.00 [-0.01,  0.00]\t -- t: 004421 dis: 0.839 sclr: 0.0444 des_dis: 0.2870 \n",
      "Ep  274\tMaxAvg100: 0.01\tMax: 0.00 [-0.01,  0.00]\t -- t: 004435 dis: 0.674 sclr: 0.0453 des_dis: 0.2870 \n",
      "Ep  275\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 004448 dis: 0.699 sclr: 0.0439 des_dis: 0.2869 \n",
      "Ep  276\tMaxAvg100: 0.01\tMax: 0.00 [-0.01,  0.00]\t -- t: 004463 dis: 1.174 sclr: 0.0409 des_dis: 0.2869 \n",
      "Ep  277\tMaxAvg100: 0.01\tMax: 0.00 [-0.01,  0.00]\t -- t: 004476 dis: 0.256 sclr: 0.0430 des_dis: 0.2869 \n",
      "Ep  278\tMaxAvg100: 0.01\tMax: 0.00 [-0.01,  0.00]\t -- t: 004490 dis: 0.836 sclr: 0.0414 des_dis: 0.2868 \n",
      "Ep  279\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 004504 dis: 0.460 sclr: 0.0414 des_dis: 0.2868 \n",
      "Ep  280\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 004518 dis: 0.655 sclr: 0.0405 des_dis: 0.2867 \n",
      "Ep  281\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 004532 dis: 0.300 sclr: 0.0414 des_dis: 0.2867 \n",
      "Ep  282\tMaxAvg100: 0.01\tMax: 0.00 [-0.01,  0.00]\t -- t: 004546 dis: 0.602 sclr: 0.0422 des_dis: 0.2867 \n",
      "Ep  283\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 004561 dis: 0.413 sclr: 0.0435 des_dis: 0.2866 \n",
      "Ep  284\tMaxAvg100: 0.01\tMax: 0.09 [ 0.00,  0.09]\t -- t: 004592 dis: 0.425 sclr: 0.0439 des_dis: 0.2865 \n",
      "Ep  285\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 004606 dis: 0.413 sclr: 0.0439 des_dis: 0.2865 \n",
      "Ep  286\tMaxAvg100: 0.01\tMax: 0.00 [-0.01,  0.00]\t -- t: 004620 dis: 0.844 sclr: 0.0430 des_dis: 0.2865 \n",
      "Ep  287\tMaxAvg100: 0.01\tMax: 0.00 [-0.01,  0.00]\t -- t: 004634 dis: 0.611 sclr: 0.0448 des_dis: 0.2864 \n",
      "Ep  288\tMaxAvg100: 0.01\tMax: 0.00 [-0.01,  0.00]\t -- t: 004648 dis: 0.816 sclr: 0.0457 des_dis: 0.2864 \n",
      "Ep  289\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 004662 dis: 0.390 sclr: 0.0476 des_dis: 0.2863 \n",
      "Ep  290\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 004677 dis: 0.398 sclr: 0.0481 des_dis: 0.2863 \n",
      "Ep  291\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 004691 dis: 0.281 sclr: 0.0521 des_dis: 0.2863 \n",
      "Ep  292\tMaxAvg100: 0.01\tMax: 0.00 [-0.01,  0.00]\t -- t: 004705 dis: 1.033 sclr: 0.0511 des_dis: 0.2862 \n",
      "Ep  293\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 004719 dis: 0.633 sclr: 0.0511 des_dis: 0.2862 \n",
      "Ep  294\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 004733 dis: 0.530 sclr: 0.0511 des_dis: 0.2861 \n",
      "Ep  295\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 004748 dis: 0.209 sclr: 0.0537 des_dis: 0.2861 \n",
      "Ep  296\tMaxAvg100: 0.01\tMax: 0.00 [-0.01,  0.00]\t -- t: 004762 dis: 1.177 sclr: 0.0506 des_dis: 0.2860 \n",
      "Ep  297\tMaxAvg100: 0.01\tMax: 0.00 [-0.01,  0.00]\t -- t: 004776 dis: 0.818 sclr: 0.0516 des_dis: 0.2860 \n",
      "Ep  298\tMaxAvg100: 0.01\tMax: 0.00 [-0.01,  0.00]\t -- t: 004790 dis: 0.905 sclr: 0.0516 des_dis: 0.2860 \n",
      "Ep  299\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 004804 dis: 0.169 sclr: 0.0537 des_dis: 0.2859 \n",
      "Ep  300\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 004818 dis: 0.620 sclr: 0.0548 des_dis: 0.2859 \n",
      "Ep  301\tMaxAvg100: 0.01\tMax: 0.00 [-0.01,  0.00]\t -- t: 004832 dis: 0.680 sclr: 0.0559 des_dis: 0.2858 \n",
      "Ep  302\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 004847 dis: 0.463 sclr: 0.0576 des_dis: 0.2858 \n",
      "Ep  303\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 004861 dis: 0.313 sclr: 0.0576 des_dis: 0.2858 \n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Ep  304\tMaxAvg100: 0.01\tMax: 0.00 [-0.01,  0.00]\t -- t: 004875 dis: 0.738 sclr: 0.0588 des_dis: 0.2857 \n",
      "Ep  305\tMaxAvg100: 0.01\tMax: 0.00 [-0.01,  0.00]\t -- t: 004889 dis: 0.898 sclr: 0.0612 des_dis: 0.2857 \n",
      "Ep  306\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 004903 dis: 0.721 sclr: 0.0612 des_dis: 0.2856 \n",
      "Ep  307\tMaxAvg100: 0.01\tMax: 0.00 [-0.01,  0.00]\t -- t: 004918 dis: 0.754 sclr: 0.0618 des_dis: 0.2856 \n",
      "Ep  308\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 004932 dis: 0.661 sclr: 0.0606 des_dis: 0.2856 \n",
      "Ep  309\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 004946 dis: 0.942 sclr: 0.0559 des_dis: 0.2855 \n",
      "Ep  310\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 004960 dis: 0.388 sclr: 0.0570 des_dis: 0.2855 \n",
      "Ep  311\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 004974 dis: 0.398 sclr: 0.0582 des_dis: 0.2854 \n",
      "Ep  312\tMaxAvg100: 0.01\tMax: 0.00 [-0.01,  0.00]\t -- t: 004989 dis: 0.976 sclr: 0.0600 des_dis: 0.2854 \n",
      "Ep  313\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 005003 dis: 0.526 sclr: 0.0588 des_dis: 0.2854 \n",
      "Ep  314\tMaxAvg100: 0.01\tMax: 0.00 [-0.01,  0.00]\t -- t: 005017 dis: 0.583 sclr: 0.0600 des_dis: 0.2853 \n",
      "Ep  315\tMaxAvg100: 0.01\tMax: 0.00 [-0.01,  0.00]\t -- t: 005031 dis: 0.879 sclr: 0.0612 des_dis: 0.2853 \n",
      "Ep  316\tMaxAvg100: 0.01\tMax: 0.00 [-0.01,  0.00]\t -- t: 005045 dis: 0.731 sclr: 0.0637 des_dis: 0.2852 \n",
      "Ep  317\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 005060 dis: 0.563 sclr: 0.0644 des_dis: 0.2852 \n",
      "Ep  318\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 005074 dis: 0.637 sclr: 0.0644 des_dis: 0.2852 \n",
      "Ep  319\tMaxAvg100: 0.01\tMax: 0.00 [-0.01,  0.00]\t -- t: 005088 dis: 0.718 sclr: 0.0644 des_dis: 0.2851 \n",
      "Ep  320\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 005102 dis: 0.406 sclr: 0.0657 des_dis: 0.2851 \n",
      "Ep  321\tMaxAvg100: 0.01\tMax: 0.00 [-0.01,  0.00]\t -- t: 005116 dis: 0.789 sclr: 0.0684 des_dis: 0.2850 \n",
      "Ep  322\tMaxAvg100: 0.01\tMax: 0.00 [-0.01,  0.00]\t -- t: 005131 dis: 1.087 sclr: 0.0690 des_dis: 0.2850 \n",
      "Ep  323\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 005145 dis: 0.616 sclr: 0.0663 des_dis: 0.2850 \n",
      "Ep  324\tMaxAvg100: 0.01\tMax: 0.00 [-0.01,  0.00]\t -- t: 005159 dis: 0.875 sclr: 0.0677 des_dis: 0.2849 \n",
      "Ep  325\tMaxAvg100: 0.01\tMax: 0.10 [-0.01,  0.10]\t -- t: 005216 dis: 1.619 sclr: 0.0684 des_dis: 0.2848 \n",
      "Ep  326\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 005230 dis: 0.748 sclr: 0.0657 des_dis: 0.2847 \n",
      "Ep  327\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 005245 dis: 0.796 sclr: 0.0637 des_dis: 0.2847 \n",
      "Ep  328\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 005258 dis: 1.017 sclr: 0.0594 des_dis: 0.2846 \n",
      "Ep  329\tMaxAvg100: 0.01\tMax: 0.00 [-0.01,  0.00]\t -- t: 005273 dis: 0.970 sclr: 0.0600 des_dis: 0.2846 \n",
      "Ep  330\tMaxAvg100: 0.01\tMax: 0.00 [-0.01,  0.00]\t -- t: 005287 dis: 1.047 sclr: 0.0600 des_dis: 0.2846 \n",
      "Ep  331\tMaxAvg100: 0.01\tMax: 0.00 [-0.01,  0.00]\t -- t: 005301 dis: 0.960 sclr: 0.0600 des_dis: 0.2845 \n",
      "Ep  332\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 005315 dis: 0.577 sclr: 0.0588 des_dis: 0.2845 \n",
      "Ep  333\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 005329 dis: 1.084 sclr: 0.0521 des_dis: 0.2844 \n",
      "Ep  334\tMaxAvg100: 0.01\tMax: 0.00 [-0.01,  0.00]\t -- t: 005344 dis: 0.949 sclr: 0.0526 des_dis: 0.2844 \n",
      "Ep  335\tMaxAvg100: 0.01\tMax: 0.00 [-0.01,  0.00]\t -- t: 005358 dis: 0.815 sclr: 0.0537 des_dis: 0.2843 \n",
      "Ep  336\tMaxAvg100: 0.01\tMax: 0.00 [-0.01,  0.00]\t -- t: 005372 dis: 0.784 sclr: 0.0548 des_dis: 0.2843 \n",
      "Ep  337\tMaxAvg100: 0.01\tMax: 0.00 [-0.01,  0.00]\t -- t: 005386 dis: 0.798 sclr: 0.0559 des_dis: 0.2843 \n",
      "Ep  338\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 005400 dis: 0.600 sclr: 0.0548 des_dis: 0.2842 \n",
      "Ep  339\tMaxAvg100: 0.01\tMax: 0.00 [-0.01,  0.00]\t -- t: 005415 dis: 1.079 sclr: 0.0542 des_dis: 0.2842 \n",
      "Ep  340\tMaxAvg100: 0.01\tMax: 0.00 [-0.01,  0.00]\t -- t: 005429 dis: 1.006 sclr: 0.0553 des_dis: 0.2841 \n",
      "Ep  341\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 005443 dis: 0.554 sclr: 0.0542 des_dis: 0.2841 \n",
      "Ep  342\tMaxAvg100: 0.01\tMax: 0.00 [-0.01,  0.00]\t -- t: 005457 dis: 0.841 sclr: 0.0542 des_dis: 0.2841 \n",
      "Ep  343\tMaxAvg100: 0.01\tMax: 0.00 [-0.01,  0.00]\t -- t: 005471 dis: 0.936 sclr: 0.0542 des_dis: 0.2840 \n",
      "Ep  344\tMaxAvg100: 0.01\tMax: 0.00 [-0.01,  0.00]\t -- t: 005486 dis: 0.879 sclr: 0.0548 des_dis: 0.2840 \n",
      "Ep  345\tMaxAvg100: 0.01\tMax: 0.00 [-0.01,  0.00]\t -- t: 005500 dis: 0.789 sclr: 0.0559 des_dis: 0.2839 \n",
      "Ep  346\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 005514 dis: 0.824 sclr: 0.0537 des_dis: 0.2839 \n",
      "Ep  347\tMaxAvg100: 0.01\tMax: 0.00 [-0.01,  0.00]\t -- t: 005528 dis: 0.823 sclr: 0.0559 des_dis: 0.2839 \n",
      "Ep  348\tMaxAvg100: 0.01\tMax: 0.00 [-0.01,  0.00]\t -- t: 005542 dis: 0.826 sclr: 0.0582 des_dis: 0.2838 \n",
      "Ep  349\tMaxAvg100: 0.01\tMax: 0.00 [-0.01,  0.00]\t -- t: 005557 dis: 0.863 sclr: 0.0600 des_dis: 0.2838 \n",
      "Ep  350\tMaxAvg100: 0.01\tMax: 0.00 [-0.01,  0.00]\t -- t: 005571 dis: 0.777 sclr: 0.0624 des_dis: 0.2837 \n",
      "Ep  351\tMaxAvg100: 0.01\tMax: 0.00 [-0.01,  0.00]\t -- t: 005585 dis: 0.991 sclr: 0.0624 des_dis: 0.2837 \n",
      "Ep  352\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 005599 dis: 0.747 sclr: 0.0576 des_dis: 0.2837 \n",
      "Ep  353\tMaxAvg100: 0.01\tMax: 0.00 [-0.01,  0.00]\t -- t: 005613 dis: 0.828 sclr: 0.0576 des_dis: 0.2836 \n",
      "Ep  354\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 005628 dis: 0.687 sclr: 0.0548 des_dis: 0.2836 \n",
      "Ep  355\tMaxAvg100: 0.01\tMax: 0.00 [-0.01,  0.00]\t -- t: 005642 dis: 0.839 sclr: 0.0570 des_dis: 0.2835 \n",
      "Ep  356\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 005656 dis: 0.712 sclr: 0.0548 des_dis: 0.2835 \n",
      "Ep  357\tMaxAvg100: 0.01\tMax: 0.00 [-0.01,  0.00]\t -- t: 005670 dis: 0.889 sclr: 0.0570 des_dis: 0.2835 \n",
      "Ep  358\tMaxAvg100: 0.01\tMax: 0.00 [-0.01,  0.00]\t -- t: 005684 dis: 0.735 sclr: 0.0594 des_dis: 0.2834 \n",
      "Ep  359\tMaxAvg100: 0.01\tMax: 0.00 [-0.01,  0.00]\t -- t: 005699 dis: 1.061 sclr: 0.0612 des_dis: 0.2834 \n",
      "Ep  360\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 005713 dis: 1.105 sclr: 0.0576 des_dis: 0.2833 \n",
      "Ep  361\tMaxAvg100: 0.01\tMax: 0.00 [-0.01,  0.00]\t -- t: 005727 dis: 0.710 sclr: 0.0588 des_dis: 0.2833 \n",
      "Ep  362\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 005741 dis: 0.749 sclr: 0.0553 des_dis: 0.2833 \n",
      "Ep  363\tMaxAvg100: 0.01\tMax: 0.00 [-0.01,  0.00]\t -- t: 005755 dis: 0.984 sclr: 0.0565 des_dis: 0.2832 \n",
      "Ep  364\tMaxAvg100: 0.01\tMax: 0.10 [ 0.10, -0.01]\t -- t: 005789 dis: 0.609 sclr: 0.0624 des_dis: 0.2831 \n",
      "Ep  365\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 005803 dis: 1.225 sclr: 0.0600 des_dis: 0.2831 \n",
      "Ep  366\tMaxAvg100: 0.01\tMax: 0.00 [-0.01,  0.00]\t -- t: 005817 dis: 0.925 sclr: 0.0612 des_dis: 0.2830 \n",
      "Ep  367\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 005831 dis: 0.608 sclr: 0.0612 des_dis: 0.2830 \n",
      "Ep  368\tMaxAvg100: 0.01\tMax: 0.00 [-0.01,  0.00]\t -- t: 005845 dis: 0.843 sclr: 0.0624 des_dis: 0.2830 \n",
      "Ep  369\tMaxAvg100: 0.01\tMax: 0.00 [-0.01,  0.00]\t -- t: 005859 dis: 0.772 sclr: 0.0650 des_dis: 0.2829 \n",
      "Ep  370\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 005874 dis: 0.937 sclr: 0.0606 des_dis: 0.2829 \n",
      "Ep  371\tMaxAvg100: 0.01\tMax: 0.00 [-0.01,  0.00]\t -- t: 005888 dis: 1.075 sclr: 0.0618 des_dis: 0.2828 \n",
      "Ep  372\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 005902 dis: 0.943 sclr: 0.0606 des_dis: 0.2828 \n",
      "Ep  373\tMaxAvg100: 0.01\tMax: 0.10 [ 0.09,  0.10]\t -- t: 005956 dis: 1.002 sclr: 0.0559 des_dis: 0.2827 \n",
      "Ep  374\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 005970 dis: 0.761 sclr: 0.0559 des_dis: 0.2826 \n",
      "Ep  375\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 005984 dis: 1.014 sclr: 0.0526 des_dis: 0.2826 \n",
      "Ep  376\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 005998 dis: 1.038 sclr: 0.0496 des_dis: 0.2825 \n",
      "Ep  377\tMaxAvg100: 0.01\tMax: 0.00 [-0.01,  0.00]\t -- t: 006012 dis: 0.668 sclr: 0.0506 des_dis: 0.2825 \n",
      "Ep  378\tMaxAvg100: 0.01\tMax: 0.00 [-0.01,  0.00]\t -- t: 006027 dis: 0.912 sclr: 0.0521 des_dis: 0.2825 \n",
      "Ep  379\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 006041 dis: 0.697 sclr: 0.0532 des_dis: 0.2824 \n",
      "Ep  380\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 006055 dis: 1.221 sclr: 0.0501 des_dis: 0.2824 \n",
      "Ep  381\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 006069 dis: 0.829 sclr: 0.0481 des_dis: 0.2823 \n",
      "Ep  382\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 006083 dis: 0.959 sclr: 0.0453 des_dis: 0.2823 \n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Ep  383\tMaxAvg100: 0.01\tMax: 0.00 [-0.01,  0.00]\t -- t: 006098 dis: 0.877 sclr: 0.0476 des_dis: 0.2823 \n",
      "Ep  384\tMaxAvg100: 0.01\tMax: 0.00 [-0.01,  0.00]\t -- t: 006112 dis: 0.901 sclr: 0.0476 des_dis: 0.2822 \n",
      "Ep  385\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 006126 dis: 0.649 sclr: 0.0476 des_dis: 0.2822 \n",
      "Ep  386\tMaxAvg100: 0.01\tMax: 0.00 [-0.01,  0.00]\t -- t: 006140 dis: 1.064 sclr: 0.0467 des_dis: 0.2821 \n",
      "Ep  387\tMaxAvg100: 0.01\tMax: 0.00 [-0.01,  0.00]\t -- t: 006154 dis: 0.724 sclr: 0.0476 des_dis: 0.2821 \n",
      "Ep  388\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 006169 dis: 1.025 sclr: 0.0471 des_dis: 0.2821 \n",
      "Ep  389\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 006183 dis: 0.710 sclr: 0.0471 des_dis: 0.2820 \n",
      "Ep  390\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 006199 dis: 0.856 sclr: 0.0471 des_dis: 0.2820 \n",
      "Ep  391\tMaxAvg100: 0.01\tMax: 0.00 [-0.01,  0.00]\t -- t: 006213 dis: 0.981 sclr: 0.0481 des_dis: 0.2819 \n",
      "Ep  392\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 006227 dis: 0.793 sclr: 0.0462 des_dis: 0.2819 \n",
      "Ep  393\tMaxAvg100: 0.01\tMax: 0.00 [-0.01,  0.00]\t -- t: 006241 dis: 0.992 sclr: 0.0471 des_dis: 0.2818 \n",
      "Ep  394\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 006255 dis: 0.458 sclr: 0.0481 des_dis: 0.2818 \n",
      "Ep  395\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 006269 dis: 0.534 sclr: 0.0481 des_dis: 0.2818 \n",
      "Ep  396\tMaxAvg100: 0.01\tMax: 0.10 [ 0.10, -0.01]\t -- t: 006296 dis: 1.016 sclr: 0.0448 des_dis: 0.2817 \n",
      "Ep  397\tMaxAvg100: 0.01\tMax: 0.00 [-0.01,  0.00]\t -- t: 006310 dis: 1.112 sclr: 0.0439 des_dis: 0.2817 \n",
      "Ep  398\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 006324 dis: 0.718 sclr: 0.0422 des_dis: 0.2816 \n",
      "Ep  399\tMaxAvg100: 0.01\tMax: 0.00 [-0.01,  0.00]\t -- t: 006338 dis: 0.852 sclr: 0.0439 des_dis: 0.2816 \n",
      "Ep  400\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 006352 dis: 0.654 sclr: 0.0439 des_dis: 0.2815 \n",
      "Ep  401\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 006366 dis: 0.767 sclr: 0.0414 des_dis: 0.2815 \n",
      "Ep  402\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 006381 dis: 0.627 sclr: 0.0409 des_dis: 0.2815 \n",
      "Ep  403\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 006395 dis: 0.834 sclr: 0.0393 des_dis: 0.2814 \n",
      "Ep  404\tMaxAvg100: 0.01\tMax: 0.00 [-0.01,  0.00]\t -- t: 006409 dis: 0.869 sclr: 0.0393 des_dis: 0.2814 \n",
      "Ep  405\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 006423 dis: 0.660 sclr: 0.0393 des_dis: 0.2813 \n",
      "Ep  406\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 006437 dis: 0.454 sclr: 0.0409 des_dis: 0.2813 \n",
      "Ep  407\tMaxAvg100: 0.01\tMax: 0.10 [ 0.09,  0.10]\t -- t: 006499 dis: 0.914 sclr: 0.0335 des_dis: 0.2811 \n",
      "Ep  408\tMaxAvg100: 0.01\tMax: 0.00 [-0.01,  0.00]\t -- t: 006513 dis: 0.610 sclr: 0.0342 des_dis: 0.2811 \n",
      "Ep  409\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 006527 dis: 0.924 sclr: 0.0328 des_dis: 0.2810 \n",
      "Ep  410\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 006541 dis: 0.645 sclr: 0.0322 des_dis: 0.2810 \n",
      "Ep  411\tMaxAvg100: 0.01\tMax: 0.00 [-0.01,  0.00]\t -- t: 006556 dis: 1.000 sclr: 0.0318 des_dis: 0.2810 \n",
      "Ep  412\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 006570 dis: 0.788 sclr: 0.0306 des_dis: 0.2809 \n",
      "Ep  413\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 006584 dis: 0.760 sclr: 0.0300 des_dis: 0.2809 \n",
      "Ep  414\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 006598 dis: 0.822 sclr: 0.0288 des_dis: 0.2808 \n",
      "Ep  415\tMaxAvg100: 0.01\tMax: 0.00 [-0.01,  0.00]\t -- t: 006612 dis: 0.614 sclr: 0.0294 des_dis: 0.2808 \n",
      "Ep  416\tMaxAvg100: 0.01\tMax: 0.10 [ 0.10,  0.09]\t -- t: 006665 dis: 0.788 sclr: 0.0303 des_dis: 0.2807 \n",
      "Ep  417\tMaxAvg100: 0.01\tMax: 0.20 [ 0.19,  0.20]\t -- t: 006771 dis: 0.312 sclr: 0.0263 des_dis: 0.2804 \n",
      "Ep  418\tMaxAvg100: 0.01\tMax: 0.00 [-0.01,  0.00]\t -- t: 006785 dis: 0.664 sclr: 0.0279 des_dis: 0.2803 \n",
      "Ep  419\tMaxAvg100: 0.01\tMax: 0.10 [ 0.10, -0.01]\t -- t: 006816 dis: 0.817 sclr: 0.0282 des_dis: 0.2802 \n",
      "Ep  420\tMaxAvg100: 0.01\tMax: 0.20 [ 0.20,  0.09]\t -- t: 006894 dis: 0.895 sclr: 0.0266 des_dis: 0.2800 \n",
      "Ep  421\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 006908 dis: 0.808 sclr: 0.0266 des_dis: 0.2800 \n",
      "Ep  422\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 006923 dis: 0.811 sclr: 0.0258 des_dis: 0.2799 \n",
      "Ep  423\tMaxAvg100: 0.01\tMax: 0.00 [-0.01,  0.00]\t -- t: 006937 dis: 0.590 sclr: 0.0263 des_dis: 0.2799 \n",
      "Ep  424\tMaxAvg100: 0.01\tMax: 0.10 [ 0.09,  0.10]\t -- t: 006990 dis: 0.710 sclr: 0.0277 des_dis: 0.2797 \n",
      "Ep  425\tMaxAvg100: 0.01\tMax: 0.10 [ 0.09,  0.10]\t -- t: 007045 dis: 0.651 sclr: 0.0279 des_dis: 0.2796 \n",
      "Ep  426\tMaxAvg100: 0.01\tMax: 0.10 [-0.01,  0.10]\t -- t: 007077 dis: 0.526 sclr: 0.0279 des_dis: 0.2795 \n",
      "Ep  427\tMaxAvg100: 0.01\tMax: 0.00 [-0.01,  0.00]\t -- t: 007091 dis: 0.610 sclr: 0.0285 des_dis: 0.2795 \n",
      "Ep  428\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 007106 dis: 0.908 sclr: 0.0271 des_dis: 0.2794 \n",
      "Ep  429\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 007120 dis: 0.501 sclr: 0.0282 des_dis: 0.2794 \n",
      "Ep  430\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 007134 dis: 0.806 sclr: 0.0277 des_dis: 0.2793 \n",
      "Ep  431\tMaxAvg100: 0.01\tMax: 0.00 [-0.01,  0.00]\t -- t: 007149 dis: 0.679 sclr: 0.0285 des_dis: 0.2793 \n",
      "Ep  432\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 007163 dis: 0.616 sclr: 0.0291 des_dis: 0.2793 \n",
      "Ep  433\tMaxAvg100: 0.01\tMax: 0.10 [ 0.10, -0.01]\t -- t: 007195 dis: 0.707 sclr: 0.0297 des_dis: 0.2792 \n",
      "Ep  434\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 007209 dis: 0.587 sclr: 0.0303 des_dis: 0.2791 \n",
      "Ep  435\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 007223 dis: 0.612 sclr: 0.0309 des_dis: 0.2791 \n",
      "Ep  436\tMaxAvg100: 0.01\tMax: 0.10 [-0.01,  0.10]\t -- t: 007257 dis: 0.538 sclr: 0.0297 des_dis: 0.2790 \n",
      "Ep  437\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 007271 dis: 0.767 sclr: 0.0297 des_dis: 0.2790 \n",
      "Ep  438\tMaxAvg100: 0.01\tMax: 0.00 [-0.01,  0.00]\t -- t: 007285 dis: 0.362 sclr: 0.0315 des_dis: 0.2789 \n",
      "Ep  439\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 007299 dis: 0.851 sclr: 0.0309 des_dis: 0.2789 \n",
      "Ep  440\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 007314 dis: 0.765 sclr: 0.0312 des_dis: 0.2788 \n",
      "Ep  441\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 007332 dis: 0.640 sclr: 0.0306 des_dis: 0.2788 \n",
      "Ep  442\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 007349 dis: 1.166 sclr: 0.0279 des_dis: 0.2787 \n",
      "Ep  443\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 007363 dis: 0.843 sclr: 0.0274 des_dis: 0.2787 \n",
      "Ep  444\tMaxAvg100: 0.01\tMax: 0.00 [-0.01,  0.00]\t -- t: 007377 dis: 0.871 sclr: 0.0268 des_dis: 0.2787 \n",
      "Ep  445\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 007391 dis: 0.794 sclr: 0.0263 des_dis: 0.2786 \n",
      "Ep  446\tMaxAvg100: 0.01\tMax: 0.10 [ 0.09,  0.10]\t -- t: 007444 dis: 0.271 sclr: 0.0271 des_dis: 0.2785 \n",
      "Ep  447\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 007458 dis: 0.900 sclr: 0.0271 des_dis: 0.2784 \n",
      "Ep  448\tMaxAvg100: 0.01\tMax: 0.00 [-0.01,  0.00]\t -- t: 007479 dis: 0.585 sclr: 0.0279 des_dis: 0.2784 \n",
      "Ep  449\tMaxAvg100: 0.01\tMax: 0.00 [-0.01,  0.00]\t -- t: 007493 dis: 0.551 sclr: 0.0291 des_dis: 0.2783 \n",
      "Ep  450\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 007507 dis: 0.597 sclr: 0.0291 des_dis: 0.2783 \n",
      "Ep  451\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 007522 dis: 0.883 sclr: 0.0271 des_dis: 0.2783 \n",
      "Ep  452\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 007536 dis: 0.782 sclr: 0.0271 des_dis: 0.2782 \n",
      "Ep  453\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 007550 dis: 0.856 sclr: 0.0260 des_dis: 0.2782 \n",
      "Ep  454\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 007564 dis: 0.687 sclr: 0.0271 des_dis: 0.2781 \n",
      "Ep  455\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 007579 dis: 1.220 sclr: 0.0253 des_dis: 0.2781 \n",
      "Ep  456\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 007593 dis: 0.889 sclr: 0.0253 des_dis: 0.2781 \n",
      "Ep  457\tMaxAvg100: 0.01\tMax: 0.10 [ 0.10, -0.01]\t -- t: 007625 dis: 1.030 sclr: 0.0253 des_dis: 0.2780 \n",
      "Ep  458\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 007639 dis: 0.812 sclr: 0.0248 des_dis: 0.2779 \n",
      "Ep  459\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 007655 dis: 1.068 sclr: 0.0243 des_dis: 0.2779 \n",
      "Ep  460\tMaxAvg100: 0.01\tMax: 0.10 [ 0.10,  0.09]\t -- t: 007710 dis: 0.620 sclr: 0.0231 des_dis: 0.2777 \n",
      "Ep  461\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 007724 dis: 0.602 sclr: 0.0245 des_dis: 0.2777 \n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Ep  462\tMaxAvg100: 0.01\tMax: 0.10 [ 0.09,  0.10]\t -- t: 007778 dis: 0.326 sclr: 0.0255 des_dis: 0.2776 \n",
      "Ep  463\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 007792 dis: 0.822 sclr: 0.0255 des_dis: 0.2775 \n",
      "Ep  464\tMaxAvg100: 0.01\tMax: 0.00 [-0.01,  0.00]\t -- t: 007806 dis: 0.487 sclr: 0.0266 des_dis: 0.2775 \n",
      "Ep  465\tMaxAvg100: 0.01\tMax: 0.00 [-0.01,  0.00]\t -- t: 007820 dis: 0.745 sclr: 0.0271 des_dis: 0.2774 \n",
      "Ep  466\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 007834 dis: 0.778 sclr: 0.0271 des_dis: 0.2774 \n",
      "Ep  467\tMaxAvg100: 0.01\tMax: 0.00 [-0.01,  0.00]\t -- t: 007849 dis: 0.931 sclr: 0.0263 des_dis: 0.2774 \n",
      "Ep  468\tMaxAvg100: 0.01\tMax: 0.00 [-0.01,  0.00]\t -- t: 007863 dis: 0.830 sclr: 0.0263 des_dis: 0.2773 \n",
      "Ep  469\tMaxAvg100: 0.01\tMax: 0.00 [-0.01,  0.00]\t -- t: 007877 dis: 1.016 sclr: 0.0258 des_dis: 0.2773 \n",
      "Ep  470\tMaxAvg100: 0.01\tMax: 0.10 [ 0.10,  0.09]\t -- t: 007931 dis: 1.006 sclr: 0.0258 des_dis: 0.2771 \n",
      "Ep  471\tMaxAvg100: 0.01\tMax: 0.00 [-0.01,  0.00]\t -- t: 007945 dis: 0.878 sclr: 0.0248 des_dis: 0.2771 \n",
      "Ep  472\tMaxAvg100: 0.01\tMax: 0.00 [ 0.00, -0.01]\t -- t: 007960 dis: 0.868 sclr: 0.0245 des_dis: 0.2770 \n",
      "Ep  473\tMaxAvg100: 0.01\tMax: 0.00 [-0.01,  0.00]\t -- t: 007974 dis: 0.619 sclr: 0.0255 des_dis: 0.2770 \n",
      "Ep  474\tMaxAvg100: 0.01\tMax: 0.10 [-0.01,  0.10]\t -- t: 008004 dis: 0.463 sclr: 0.0266 des_dis: 0.2769 \n",
      "Ep  475\tMaxAvg100: 0.01\tMax: 0.00 [-0.01,  0.00]\t -- t: 008018 dis: 0.726 sclr: 0.0271 des_dis: 0.2769 \n",
      "Ep  476\tMaxAvg100: 0.01\tMax: 0.20 [ 0.09,  0.20]\t -- t: 008090 dis: 0.625 sclr: 0.0245 des_dis: 0.2767 \n",
      "Ep  477\tMaxAvg100: 0.02\tMax: 0.10 [ 0.09,  0.10]\t -- t: 008145 dis: 0.574 sclr: 0.0268 des_dis: 0.2765 \n",
      "Ep  478\tMaxAvg100: 0.02\tMax: 0.00 [ 0.00, -0.01]\t -- t: 008159 dis: 0.658 sclr: 0.0263 des_dis: 0.2765 \n",
      "Ep  479\tMaxAvg100: 0.02\tMax: 0.09 [ 0.00,  0.09]\t -- t: 008189 dis: 1.065 sclr: 0.0268 des_dis: 0.2764 \n",
      "Ep  480\tMaxAvg100: 0.02\tMax: 0.00 [ 0.00, -0.01]\t -- t: 008203 dis: 0.434 sclr: 0.0291 des_dis: 0.2764 \n",
      "Ep  481\tMaxAvg100: 0.02\tMax: 0.00 [-0.01,  0.00]\t -- t: 008218 dis: 0.922 sclr: 0.0282 des_dis: 0.2763 \n",
      "Ep  482\tMaxAvg100: 0.02\tMax: 0.00 [-0.01,  0.00]\t -- t: 008232 dis: 0.751 sclr: 0.0282 des_dis: 0.2763 \n",
      "Ep  483\tMaxAvg100: 0.02\tMax: 0.00 [ 0.00, -0.01]\t -- t: 008247 dis: 0.808 sclr: 0.0279 des_dis: 0.2763 \n",
      "Ep  484\tMaxAvg100: 0.02\tMax: 0.00 [-0.01,  0.00]\t -- t: 008261 dis: 0.603 sclr: 0.0285 des_dis: 0.2762 \n",
      "Ep  485\tMaxAvg100: 0.02\tMax: 0.00 [ 0.00, -0.01]\t -- t: 008276 dis: 1.125 sclr: 0.0271 des_dis: 0.2762 \n",
      "Ep  486\tMaxAvg100: 0.02\tMax: 0.00 [ 0.00, -0.01]\t -- t: 008292 dis: 0.859 sclr: 0.0271 des_dis: 0.2761 \n",
      "Ep  487\tMaxAvg100: 0.02\tMax: 0.00 [ 0.00, -0.01]\t -- t: 008306 dis: 0.785 sclr: 0.0277 des_dis: 0.2761 \n",
      "Ep  488\tMaxAvg100: 0.02\tMax: 0.00 [-0.01,  0.00]\t -- t: 008324 dis: 0.801 sclr: 0.0266 des_dis: 0.2760 \n",
      "Ep  489\tMaxAvg100: 0.02\tMax: 0.09 [ 0.00,  0.09]\t -- t: 008355 dis: 0.577 sclr: 0.0274 des_dis: 0.2760 \n",
      "Ep  490\tMaxAvg100: 0.02\tMax: 0.00 [ 0.00, -0.01]\t -- t: 008369 dis: 0.820 sclr: 0.0274 des_dis: 0.2759 \n",
      "Ep  491\tMaxAvg100: 0.02\tMax: 0.00 [ 0.00, -0.01]\t -- t: 008383 dis: 0.985 sclr: 0.0274 des_dis: 0.2759 \n",
      "Ep  492\tMaxAvg100: 0.02\tMax: 0.10 [ 0.10,  0.09]\t -- t: 008435 dis: 0.893 sclr: 0.0291 des_dis: 0.2757 \n",
      "Ep  493\tMaxAvg100: 0.02\tMax: 0.10 [ 0.10, -0.01]\t -- t: 008467 dis: 0.991 sclr: 0.0291 des_dis: 0.2756 \n",
      "Ep  494\tMaxAvg100: 0.02\tMax: 0.10 [-0.01,  0.10]\t -- t: 008498 dis: 0.660 sclr: 0.0288 des_dis: 0.2756 \n",
      "Ep  495\tMaxAvg100: 0.02\tMax: 0.00 [ 0.00, -0.01]\t -- t: 008512 dis: 1.160 sclr: 0.0277 des_dis: 0.2755 \n",
      "Ep  496\tMaxAvg100: 0.02\tMax: 0.10 [-0.01,  0.10]\t -- t: 008543 dis: 0.905 sclr: 0.0263 des_dis: 0.2754 \n",
      "Ep  497\tMaxAvg100: 0.02\tMax: 0.10 [ 0.09,  0.10]\t -- t: 008596 dis: 0.356 sclr: 0.0282 des_dis: 0.2753 \n",
      "Ep  498\tMaxAvg100: 0.02\tMax: 0.10 [ 0.10, -0.01]\t -- t: 008626 dis: 0.582 sclr: 0.0277 des_dis: 0.2752 \n",
      "Ep  499\tMaxAvg100: 0.02\tMax: 0.00 [ 0.00, -0.01]\t -- t: 008640 dis: 0.877 sclr: 0.0271 des_dis: 0.2752 [S]\n",
      "Ep  500\tMaxAvg100: 0.02\tMax: 0.09 [ 0.00,  0.09]\t -- t: 008669 dis: 0.428 sclr: 0.0268 des_dis: 0.2751 [S]\n",
      "Ep  501\tMaxAvg100: 0.02\tMax: 0.00 [ 0.00, -0.01]\t -- t: 008683 dis: 0.890 sclr: 0.0263 des_dis: 0.2750 [S]\n",
      "Ep  502\tMaxAvg100: 0.02\tMax: 0.00 [ 0.00, -0.01]\t -- t: 008697 dis: 0.636 sclr: 0.0263 des_dis: 0.2750 [S]\n",
      "Ep  503\tMaxAvg100: 0.02\tMax: 0.00 [ 0.00, -0.01]\t -- t: 008711 dis: 0.489 sclr: 0.0274 des_dis: 0.2750 [S]\n",
      "Ep  504\tMaxAvg100: 0.02\tMax: 0.00 [ 0.00, -0.01]\t -- t: 008725 dis: 0.830 sclr: 0.0274 des_dis: 0.2749 [S]\n",
      "Ep  505\tMaxAvg100: 0.02\tMax: 0.09 [ 0.00,  0.09]\t -- t: 008757 dis: 0.669 sclr: 0.0253 des_dis: 0.2748 [S]\n",
      "Ep  506\tMaxAvg100: 0.02\tMax: 0.10 [ 0.10,  0.09]\t -- t: 008809 dis: 0.861 sclr: 0.0291 des_dis: 0.2747 [S]\n",
      "Ep  507\tMaxAvg100: 0.02\tMax: 0.00 [ 0.00, -0.01]\t -- t: 008822 dis: 0.688 sclr: 0.0294 des_dis: 0.2747 [S]\n",
      "Ep  508\tMaxAvg100: 0.02\tMax: 0.10 [ 0.10, -0.01]\t -- t: 008853 dis: 1.062 sclr: 0.0279 des_dis: 0.2746 \n",
      "Ep  509\tMaxAvg100: 0.02\tMax: 0.00 [ 0.00, -0.01]\t -- t: 008867 dis: 0.504 sclr: 0.0279 des_dis: 0.2745 [S]\n",
      "Ep  510\tMaxAvg100: 0.02\tMax: 0.00 [ 0.00, -0.01]\t -- t: 008881 dis: 0.720 sclr: 0.0274 des_dis: 0.2745 [S]\n",
      "Ep  511\tMaxAvg100: 0.02\tMax: 0.10 [ 0.10, -0.01]\t -- t: 008912 dis: 0.556 sclr: 0.0300 des_dis: 0.2744 [S]\n",
      "Ep  512\tMaxAvg100: 0.02\tMax: 0.00 [-0.01,  0.00]\t -- t: 008926 dis: 0.766 sclr: 0.0300 des_dis: 0.2744 [S]\n",
      "Ep  513\tMaxAvg100: 0.02\tMax: 0.00 [ 0.00, -0.01]\t -- t: 008939 dis: 0.987 sclr: 0.0285 des_dis: 0.2743 [S]\n",
      "Ep  514\tMaxAvg100: 0.02\tMax: 0.00 [ 0.00, -0.01]\t -- t: 008953 dis: 0.539 sclr: 0.0297 des_dis: 0.2743 [S]\n",
      "Ep  515\tMaxAvg100: 0.02\tMax: 0.00 [-0.01,  0.00]\t -- t: 008967 dis: 0.811 sclr: 0.0297 des_dis: 0.2743 [S]\n",
      "Ep  516\tMaxAvg100: 0.02\tMax: 0.09 [ 0.00,  0.09]\t -- t: 008997 dis: 0.441 sclr: 0.0303 des_dis: 0.2742 [S]\n",
      "Ep  517\tMaxAvg100: 0.02\tMax: 0.00 [ 0.00, -0.01]\t -- t: 009011 dis: 0.904 sclr: 0.0291 des_dis: 0.2741 [S]\n",
      "Ep  518\tMaxAvg100: 0.02\tMax: 0.40 [ 0.29,  0.40]\t -- t: 009163 dis: 0.362 sclr: 0.0322 des_dis: 0.2737 \n",
      "Ep  519\tMaxAvg100: 0.02\tMax: 0.00 [ 0.00, -0.01]\t -- t: 009180 dis: 1.087 sclr: 0.0288 des_dis: 0.2737 [S]\n",
      "Ep  520\tMaxAvg100: 0.02\tMax: 0.10 [ 0.10, -0.01]\t -- t: 009211 dis: 0.302 sclr: 0.0309 des_dis: 0.2736 \n",
      "Ep  521\tMaxAvg100: 0.02\tMax: 0.00 [-0.01,  0.00]\t -- t: 009226 dis: 0.646 sclr: 0.0312 des_dis: 0.2736 \n",
      "Ep  522\tMaxAvg100: 0.02\tMax: 0.00 [ 0.00, -0.01]\t -- t: 009241 dis: 0.843 sclr: 0.0297 des_dis: 0.2735 \n",
      "Ep  523\tMaxAvg100: 0.02\tMax: 0.00 [-0.01,  0.00]\t -- t: 009257 dis: 0.901 sclr: 0.0291 des_dis: 0.2735 \n",
      "Ep  524\tMaxAvg100: 0.02\tMax: 0.00 [ 0.00, -0.01]\t -- t: 009270 dis: 0.638 sclr: 0.0294 des_dis: 0.2734 \n",
      "Ep  525\tMaxAvg100: 0.02\tMax: 0.10 [ 0.10, -0.01]\t -- t: 009302 dis: 0.811 sclr: 0.0288 des_dis: 0.2734 \n",
      "Ep  526\tMaxAvg100: 0.02\tMax: 0.00 [ 0.00, -0.01]\t -- t: 009316 dis: 0.765 sclr: 0.0282 des_dis: 0.2733 \n",
      "Ep  527\tMaxAvg100: 0.02\tMax: 0.10 [ 0.10,  0.09]\t -- t: 009368 dis: 0.908 sclr: 0.0240 des_dis: 0.2732 \n",
      "Ep  528\tMaxAvg100: 0.02\tMax: 0.10 [-0.01,  0.10]\t -- t: 009397 dis: 0.717 sclr: 0.0263 des_dis: 0.2731 \n",
      "Ep  529\tMaxAvg100: 0.02\tMax: 0.00 [-0.01,  0.00]\t -- t: 009411 dis: 0.689 sclr: 0.0263 des_dis: 0.2731 \n",
      "Ep  530\tMaxAvg100: 0.02\tMax: 0.10 [ 0.10, -0.01]\t -- t: 009429 dis: 0.857 sclr: 0.0274 des_dis: 0.2730 \n",
      "Ep  531\tMaxAvg100: 0.03\tMax: 0.00 [ 0.00, -0.01]\t -- t: 009443 dis: 1.204 sclr: 0.0258 des_dis: 0.2730 [S]\n",
      "Ep  532\tMaxAvg100: 0.03\tMax: 0.20 [ 0.20,  0.09]\t -- t: 009514 dis: 0.617 sclr: 0.0240 des_dis: 0.2728 [S]\n",
      "Ep  533\tMaxAvg100: 0.03\tMax: 0.10 [-0.01,  0.10]\t -- t: 009543 dis: 0.566 sclr: 0.0243 des_dis: 0.2727 [S]\n",
      "Ep  534\tMaxAvg100: 0.03\tMax: 0.00 [ 0.00, -0.01]\t -- t: 009557 dis: 0.615 sclr: 0.0253 des_dis: 0.2727 [S]\n",
      "Ep  535\tMaxAvg100: 0.03\tMax: 0.10 [ 0.10, -0.01]\t -- t: 009589 dis: 0.573 sclr: 0.0268 des_dis: 0.2726 [S]\n",
      "Ep  536\tMaxAvg100: 0.03\tMax: 0.09 [ 0.00,  0.09]\t -- t: 009620 dis: 1.067 sclr: 0.0255 des_dis: 0.2725 [S]\n",
      "Ep  537\tMaxAvg100: 0.03\tMax: 0.10 [-0.01,  0.10]\t -- t: 009672 dis: 0.879 sclr: 0.0236 des_dis: 0.2723 [S]\n",
      "Ep  538\tMaxAvg100: 0.03\tMax: 0.00 [ 0.00, -0.01]\t -- t: 009686 dis: 0.702 sclr: 0.0236 des_dis: 0.2723 [S]\n",
      "Ep  539\tMaxAvg100: 0.03\tMax: 0.10 [ 0.10, -0.01]\t -- t: 009717 dis: 0.704 sclr: 0.0233 des_dis: 0.2722 [S]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Ep  540\tMaxAvg100: 0.03\tMax: 0.10 [ 0.10, -0.01]\t -- t: 009746 dis: 0.861 sclr: 0.0231 des_dis: 0.2721 [S]\n",
      "Ep  541\tMaxAvg100: 0.03\tMax: 0.10 [ 0.10, -0.01]\t -- t: 009779 dis: 0.612 sclr: 0.0243 des_dis: 0.2721 [S]\n",
      "Ep  542\tMaxAvg100: 0.03\tMax: 0.00 [-0.01,  0.00]\t -- t: 009793 dis: 1.012 sclr: 0.0238 des_dis: 0.2720 [S]\n",
      "Ep  543\tMaxAvg100: 0.03\tMax: 0.00 [ 0.00, -0.01]\t -- t: 009807 dis: 0.473 sclr: 0.0243 des_dis: 0.2720 [S]\n",
      "Ep  544\tMaxAvg100: 0.03\tMax: 0.00 [-0.01,  0.00]\t -- t: 009821 dis: 0.599 sclr: 0.0248 des_dis: 0.2719 [S]\n",
      "Ep  545\tMaxAvg100: 0.03\tMax: 0.09 [ 0.00,  0.09]\t -- t: 009851 dis: 0.489 sclr: 0.0238 des_dis: 0.2719 [S]\n",
      "Ep  546\tMaxAvg100: 0.03\tMax: 0.10 [ 0.10, -0.01]\t -- t: 009882 dis: 0.518 sclr: 0.0250 des_dis: 0.2718 [S]\n",
      "Ep  547\tMaxAvg100: 0.03\tMax: 0.10 [ 0.10, -0.01]\t -- t: 009913 dis: 0.669 sclr: 0.0258 des_dis: 0.2717 [S]\n",
      "Ep  548\tMaxAvg100: 0.03\tMax: 0.00 [ 0.00, -0.01]\t -- t: 009926 dis: 1.029 sclr: 0.0255 des_dis: 0.2717 [S]\n",
      "Ep  549\tMaxAvg100: 0.03\tMax: 0.10 [-0.01,  0.10]\t -- t: 009957 dis: 0.819 sclr: 0.0263 des_dis: 0.2716 [S]\n",
      "Ep  550\tMaxAvg100: 0.03\tMax: 0.10 [ 0.10,  0.09]\t -- t: 010009 dis: 0.643 sclr: 0.0248 des_dis: 0.2714 [S]\n",
      "Ep  551\tMaxAvg100: 0.03\tMax: 0.09 [ 0.00,  0.09]\t -- t: 010039 dis: 0.505 sclr: 0.0243 des_dis: 0.2713 [S]\n",
      "Ep  552\tMaxAvg100: 0.03\tMax: 0.00 [ 0.00, -0.01]\t -- t: 010053 dis: 0.577 sclr: 0.0243 des_dis: 0.2713 [S]\n",
      "Ep  553\tMaxAvg100: 0.03\tMax: 0.00 [-0.01,  0.00]\t -- t: 010066 dis: 0.619 sclr: 0.0240 des_dis: 0.2713 [S]\n",
      "Ep  554\tMaxAvg100: 0.03\tMax: 0.00 [-0.01,  0.00]\t -- t: 010080 dis: 0.757 sclr: 0.0226 des_dis: 0.2712 [S]\n",
      "Ep  555\tMaxAvg100: 0.03\tMax: 0.00 [-0.01,  0.00]\t -- t: 010094 dis: 0.574 sclr: 0.0226 des_dis: 0.2712 [S]\n",
      "Ep  556\tMaxAvg100: 0.03\tMax: 0.00 [-0.01,  0.00]\t -- t: 010109 dis: 0.563 sclr: 0.0233 des_dis: 0.2712 [S]\n",
      "Ep  557\tMaxAvg100: 0.03\tMax: 0.00 [ 0.00, -0.01]\t -- t: 010123 dis: 0.610 sclr: 0.0248 des_dis: 0.2711 [S]\n",
      "Ep  558\tMaxAvg100: 0.03\tMax: 0.09 [ 0.00,  0.09]\t -- t: 010152 dis: 0.538 sclr: 0.0245 des_dis: 0.2710 \n",
      "Ep  559\tMaxAvg100: 0.03\tMax: 0.10 [ 0.09,  0.10]\t -- t: 010211 dis: 0.817 sclr: 0.0224 des_dis: 0.2709 [S]\n",
      "Ep  560\tMaxAvg100: 0.03\tMax: 0.10 [-0.01,  0.10]\t -- t: 010242 dis: 0.356 sclr: 0.0245 des_dis: 0.2708 [S]\n",
      "Ep  561\tMaxAvg100: 0.03\tMax: 0.10 [-0.01,  0.10]\t -- t: 010271 dis: 0.688 sclr: 0.0248 des_dis: 0.2707 [S]\n",
      "Ep  562\tMaxAvg100: 0.03\tMax: 0.00 [-0.01,  0.00]\t -- t: 010285 dis: 0.708 sclr: 0.0253 des_dis: 0.2707 [S]\n",
      "Ep  563\tMaxAvg100: 0.03\tMax: 0.10 [ 0.10,  0.09]\t -- t: 010337 dis: 0.888 sclr: 0.0258 des_dis: 0.2705 \n",
      "Ep  564\tMaxAvg100: 0.04\tMax: 0.10 [-0.01,  0.10]\t -- t: 010368 dis: 0.867 sclr: 0.0240 des_dis: 0.2705 [S]\n",
      "Ep  565\tMaxAvg100: 0.04\tMax: 0.00 [ 0.00, -0.01]\t -- t: 010382 dis: 0.546 sclr: 0.0231 des_dis: 0.2704 [S]\n",
      "Ep  566\tMaxAvg100: 0.04\tMax: 0.30 [ 0.19,  0.30]\t -- t: 010492 dis: 0.724 sclr: 0.0209 des_dis: 0.2701 [S]\n",
      "Ep  567\tMaxAvg100: 0.04\tMax: 0.10 [ 0.10, -0.01]\t -- t: 010523 dis: 0.349 sclr: 0.0215 des_dis: 0.2700 [S]\n",
      "Ep  568\tMaxAvg100: 0.04\tMax: 0.00 [-0.01,  0.00]\t -- t: 010537 dis: 0.349 sclr: 0.0229 des_dis: 0.2700 [S]\n",
      "Ep  569\tMaxAvg100: 0.04\tMax: 0.00 [-0.01,  0.00]\t -- t: 010551 dis: 0.843 sclr: 0.0215 des_dis: 0.2700 [S]\n",
      "Ep  570\tMaxAvg100: 0.04\tMax: 0.00 [-0.01,  0.00]\t -- t: 010565 dis: 1.079 sclr: 0.0203 des_dis: 0.2699 [S]\n",
      "Ep  571\tMaxAvg100: 0.04\tMax: 0.10 [ 0.10, -0.01]\t -- t: 010595 dis: 0.725 sclr: 0.0229 des_dis: 0.2698 \n",
      "Ep  572\tMaxAvg100: 0.04\tMax: 0.00 [ 0.00, -0.01]\t -- t: 010609 dis: 0.445 sclr: 0.0229 des_dis: 0.2698 [S]\n",
      "Ep  573\tMaxAvg100: 0.04\tMax: 0.10 [-0.01,  0.10]\t -- t: 010659 dis: 0.700 sclr: 0.0220 des_dis: 0.2697 [S]\n",
      "Ep  574\tMaxAvg100: 0.04\tMax: 0.00 [ 0.00, -0.01]\t -- t: 010675 dis: 0.764 sclr: 0.0229 des_dis: 0.2696 [S]\n",
      "Ep  575\tMaxAvg100: 0.04\tMax: 0.10 [ 0.10, -0.01]\t -- t: 010705 dis: 0.781 sclr: 0.0243 des_dis: 0.2695 \n",
      "Ep  576\tMaxAvg100: 0.04\tMax: 0.00 [ 0.00, -0.01]\t -- t: 010719 dis: 0.532 sclr: 0.0243 des_dis: 0.2695 [S]\n",
      "Ep  577\tMaxAvg100: 0.04\tMax: 0.00 [ 0.00, -0.01]\t -- t: 010737 dis: 0.713 sclr: 0.0253 des_dis: 0.2695 \n",
      "Ep  578\tMaxAvg100: 0.04\tMax: 0.10 [ 0.10, -0.01]\t -- t: 010766 dis: 1.025 sclr: 0.0266 des_dis: 0.2694 \n",
      "Ep  579\tMaxAvg100: 0.04\tMax: 0.10 [ 0.10,  0.09]\t -- t: 010818 dis: 0.776 sclr: 0.0282 des_dis: 0.2692 \n",
      "Ep  580\tMaxAvg100: 0.04\tMax: 0.00 [ 0.00, -0.01]\t -- t: 010831 dis: 0.306 sclr: 0.0285 des_dis: 0.2692 \n",
      "Ep  581\tMaxAvg100: 0.04\tMax: 0.00 [-0.01,  0.00]\t -- t: 010847 dis: 0.939 sclr: 0.0268 des_dis: 0.2692 \n",
      "Ep  582\tMaxAvg100: 0.04\tMax: 0.10 [ 0.10,  0.09]\t -- t: 010899 dis: 0.909 sclr: 0.0274 des_dis: 0.2690 \n",
      "Ep  583\tMaxAvg100: 0.04\tMax: 0.00 [-0.01,  0.00]\t -- t: 010913 dis: 0.723 sclr: 0.0263 des_dis: 0.2690 [S]\n",
      "Ep  584\tMaxAvg100: 0.04\tMax: 0.00 [ 0.00, -0.01]\t -- t: 010927 dis: 0.865 sclr: 0.0258 des_dis: 0.2689 [S]\n",
      "Ep  585\tMaxAvg100: 0.04\tMax: 0.00 [-0.01,  0.00]\t -- t: 010941 dis: 0.796 sclr: 0.0243 des_dis: 0.2689 [S]\n",
      "Ep  586\tMaxAvg100: 0.04\tMax: 0.00 [-0.01,  0.00]\t -- t: 010954 dis: 0.626 sclr: 0.0250 des_dis: 0.2689 [S]\n",
      "Ep  587\tMaxAvg100: 0.04\tMax: 0.00 [ 0.00, -0.01]\t -- t: 010968 dis: 0.706 sclr: 0.0255 des_dis: 0.2688 [S]\n",
      "Ep  588\tMaxAvg100: 0.04\tMax: 0.10 [ 0.10,  0.09]\t -- t: 011024 dis: 0.490 sclr: 0.0271 des_dis: 0.2687 [S]\n",
      "Ep  589\tMaxAvg100: 0.04\tMax: 0.10 [ 0.10,  0.09]\t -- t: 011076 dis: 0.694 sclr: 0.0282 des_dis: 0.2685 [S]\n",
      "Ep  590\tMaxAvg100: 0.04\tMax: 0.10 [ 0.10,  0.09]\t -- t: 011129 dis: 0.680 sclr: 0.0258 des_dis: 0.2684 [S]\n",
      "Ep  591\tMaxAvg100: 0.04\tMax: 0.09 [ 0.00,  0.09]\t -- t: 011159 dis: 0.565 sclr: 0.0258 des_dis: 0.2683 [S]\n",
      "Ep  592\tMaxAvg100: 0.04\tMax: 0.09 [ 0.00,  0.09]\t -- t: 011189 dis: 0.481 sclr: 0.0258 des_dis: 0.2682 [S]\n",
      "Ep  593\tMaxAvg100: 0.04\tMax: 0.10 [ 0.10, -0.01]\t -- t: 011220 dis: 0.445 sclr: 0.0288 des_dis: 0.2682 [S]\n",
      "Ep  594\tMaxAvg100: 0.04\tMax: 0.10 [ 0.10, -0.01]\t -- t: 011253 dis: 0.872 sclr: 0.0297 des_dis: 0.2681 [S]\n",
      "Ep  595\tMaxAvg100: 0.04\tMax: 0.09 [ 0.00,  0.09]\t -- t: 011283 dis: 1.078 sclr: 0.0263 des_dis: 0.2680 [S]\n",
      "Ep  596\tMaxAvg100: 0.04\tMax: 0.10 [ 0.10,  0.09]\t -- t: 011335 dis: 0.660 sclr: 0.0253 des_dis: 0.2679 [S]\n",
      "Ep  597\tMaxAvg100: 0.04\tMax: 0.20 [ 0.20,  0.19]\t -- t: 011425 dis: 0.376 sclr: 0.0248 des_dis: 0.2676 [S]\n",
      "Ep  598\tMaxAvg100: 0.04\tMax: 0.10 [ 0.10, -0.01]\t -- t: 011456 dis: 0.714 sclr: 0.0260 des_dis: 0.2675 [S]\n",
      "Ep  599\tMaxAvg100: 0.04\tMax: 0.10 [ 0.10, -0.01]\t -- t: 011486 dis: 0.506 sclr: 0.0271 des_dis: 0.2674 [S]\n",
      "Ep  600\tMaxAvg100: 0.04\tMax: 0.10 [-0.01,  0.10]\t -- t: 011519 dis: 0.959 sclr: 0.0243 des_dis: 0.2674 [S]\n",
      "Ep  601\tMaxAvg100: 0.04\tMax: 0.10 [ 0.09,  0.10]\t -- t: 011570 dis: 0.676 sclr: 0.0240 des_dis: 0.2672 [S]\n",
      "Ep  602\tMaxAvg100: 0.05\tMax: 0.00 [ 0.00, -0.01]\t -- t: 011584 dis: 0.756 sclr: 0.0240 des_dis: 0.2672 [S]\n",
      "Ep  603\tMaxAvg100: 0.05\tMax: 0.20 [ 0.09,  0.20]\t -- t: 011652 dis: 0.547 sclr: 0.0231 des_dis: 0.2670 [S]\n",
      "Ep  604\tMaxAvg100: 0.05\tMax: 0.10 [ 0.09,  0.10]\t -- t: 011707 dis: 0.900 sclr: 0.0220 des_dis: 0.2669 [S]\n",
      "Ep  605\tMaxAvg100: 0.05\tMax: 0.10 [-0.01,  0.10]\t -- t: 011738 dis: 0.529 sclr: 0.0201 des_dis: 0.2668 [S]\n",
      "Ep  606\tMaxAvg100: 0.05\tMax: 0.20 [ 0.09,  0.20]\t -- t: 011808 dis: 0.762 sclr: 0.0217 des_dis: 0.2666 [S]\n",
      "Ep  607\tMaxAvg100: 0.05\tMax: 0.10 [-0.01,  0.10]\t -- t: 011839 dis: 0.177 sclr: 0.0238 des_dis: 0.2665 [S]\n",
      "Ep  608\tMaxAvg100: 0.05\tMax: 0.10 [ 0.09,  0.10]\t -- t: 011888 dis: 1.047 sclr: 0.0209 des_dis: 0.2664 [S]\n",
      "Ep  609\tMaxAvg100: 0.05\tMax: 0.00 [ 0.00, -0.01]\t -- t: 011902 dis: 0.914 sclr: 0.0205 des_dis: 0.2663 [S]\n",
      "Ep  610\tMaxAvg100: 0.05\tMax: 0.00 [-0.01,  0.00]\t -- t: 011916 dis: 0.336 sclr: 0.0213 des_dis: 0.2663 [S]\n",
      "Ep  611\tMaxAvg100: 0.05\tMax: 0.10 [ 0.10, -0.01]\t -- t: 011946 dis: 0.728 sclr: 0.0213 des_dis: 0.2662 [S]\n",
      "Ep  612\tMaxAvg100: 0.05\tMax: 0.00 [-0.01,  0.00]\t -- t: 011960 dis: 0.564 sclr: 0.0217 des_dis: 0.2662 [S]\n",
      "Ep  613\tMaxAvg100: 0.05\tMax: 0.10 [-0.01,  0.10]\t -- t: 011991 dis: 0.741 sclr: 0.0191 des_dis: 0.2661 [S]\n",
      "Ep  614\tMaxAvg100: 0.05\tMax: 0.00 [-0.01,  0.00]\t -- t: 012005 dis: 0.554 sclr: 0.0199 des_dis: 0.2661 [S]\n",
      "Ep  615\tMaxAvg100: 0.05\tMax: 0.00 [-0.01,  0.00]\t -- t: 012020 dis: 0.642 sclr: 0.0197 des_dis: 0.2660 [S]\n",
      "Ep  616\tMaxAvg100: 0.05\tMax: 0.20 [ 0.20,  0.09]\t -- t: 012090 dis: 0.324 sclr: 0.0197 des_dis: 0.2658 [S]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Ep  617\tMaxAvg100: 0.05\tMax: 0.09 [ 0.00,  0.09]\t -- t: 012120 dis: 0.464 sclr: 0.0189 des_dis: 0.2658 [S]\n",
      "Ep  618\tMaxAvg100: 0.05\tMax: 0.10 [ 0.10,  0.09]\t -- t: 012172 dis: 0.740 sclr: 0.0181 des_dis: 0.2656 [S]\n",
      "Ep  619\tMaxAvg100: 0.05\tMax: 0.10 [ 0.10,  0.09]\t -- t: 012226 dis: 0.503 sclr: 0.0193 des_dis: 0.2655 \n",
      "Ep  620\tMaxAvg100: 0.05\tMax: 0.20 [ 0.20,  0.19]\t -- t: 012316 dis: 1.028 sclr: 0.0205 des_dis: 0.2652 \n",
      "Ep  621\tMaxAvg100: 0.05\tMax: 0.09 [ 0.09,  0.00]\t -- t: 012334 dis: 0.462 sclr: 0.0217 des_dis: 0.2652 \n",
      "Ep  622\tMaxAvg100: 0.05\tMax: 0.10 [-0.01,  0.10]\t -- t: 012367 dis: 0.902 sclr: 0.0199 des_dis: 0.2651 [S]\n",
      "Ep  623\tMaxAvg100: 0.05\tMax: 0.10 [ 0.10,  0.09]\t -- t: 012422 dis: 0.670 sclr: 0.0209 des_dis: 0.2650 [S]\n",
      "Ep  624\tMaxAvg100: 0.05\tMax: 0.09 [ 0.00,  0.09]\t -- t: 012472 dis: 0.702 sclr: 0.0222 des_dis: 0.2648 [S]\n",
      "Ep  625\tMaxAvg100: 0.05\tMax: 0.10 [ 0.10, -0.01]\t -- t: 012502 dis: 0.611 sclr: 0.0236 des_dis: 0.2647 [S]\n",
      "Ep  626\tMaxAvg100: 0.05\tMax: 0.00 [-0.01,  0.00]\t -- t: 012515 dis: 0.445 sclr: 0.0238 des_dis: 0.2647 [S]\n",
      "Ep  627\tMaxAvg100: 0.05\tMax: 0.10 [ 0.10, -0.01]\t -- t: 012546 dis: 1.114 sclr: 0.0231 des_dis: 0.2646 [S]\n",
      "Ep  628\tMaxAvg100: 0.05\tMax: 0.10 [-0.01,  0.10]\t -- t: 012576 dis: 0.726 sclr: 0.0222 des_dis: 0.2645 [S]\n",
      "Ep  629\tMaxAvg100: 0.05\tMax: 0.10 [-0.01,  0.10]\t -- t: 012607 dis: 0.473 sclr: 0.0215 des_dis: 0.2645 [S]\n",
      "Ep  630\tMaxAvg100: 0.06\tMax: 0.10 [ 0.10, -0.01]\t -- t: 012638 dis: 0.704 sclr: 0.0245 des_dis: 0.2644 [S]\n",
      "Ep  631\tMaxAvg100: 0.06\tMax: 0.00 [ 0.00, -0.01]\t -- t: 012652 dis: 0.466 sclr: 0.0250 des_dis: 0.2643 [S]\n",
      "Ep  632\tMaxAvg100: 0.06\tMax: 0.00 [ 0.00, -0.01]\t -- t: 012665 dis: 1.111 sclr: 0.0233 des_dis: 0.2643 [S]\n",
      "Ep  633\tMaxAvg100: 0.05\tMax: 0.10 [ 0.10,  0.09]\t -- t: 012717 dis: 1.135 sclr: 0.0233 des_dis: 0.2642 \n",
      "Ep  634\tMaxAvg100: 0.05\tMax: 0.00 [-0.01,  0.00]\t -- t: 012730 dis: 0.549 sclr: 0.0236 des_dis: 0.2641 \n",
      "Ep  635\tMaxAvg100: 0.06\tMax: 0.00 [-0.01,  0.00]\t -- t: 012744 dis: 0.713 sclr: 0.0240 des_dis: 0.2641 \n",
      "Ep  636\tMaxAvg100: 0.05\tMax: 0.10 [ 0.10,  0.09]\t -- t: 012796 dis: 0.993 sclr: 0.0193 des_dis: 0.2640 \n",
      "Ep  637\tMaxAvg100: 0.05\tMax: 0.10 [ 0.10, -0.01]\t -- t: 012827 dis: 0.711 sclr: 0.0207 des_dis: 0.2639 \n",
      "Ep  638\tMaxAvg100: 0.06\tMax: 0.00 [ 0.00, -0.01]\t -- t: 012841 dis: 0.981 sclr: 0.0203 des_dis: 0.2638 \n",
      "Ep  639\tMaxAvg100: 0.06\tMax: 0.00 [ 0.00, -0.01]\t -- t: 012855 dis: 0.737 sclr: 0.0203 des_dis: 0.2638 \n",
      "Ep  640\tMaxAvg100: 0.05\tMax: 0.10 [ 0.10,  0.09]\t -- t: 012906 dis: 0.873 sclr: 0.0205 des_dis: 0.2637 \n",
      "Ep  641\tMaxAvg100: 0.05\tMax: 0.10 [ 0.09,  0.10]\t -- t: 012958 dis: 0.678 sclr: 0.0201 des_dis: 0.2635 \n",
      "Ep  642\tMaxAvg100: 0.06\tMax: 0.10 [ 0.10, -0.01]\t -- t: 012987 dis: 1.073 sclr: 0.0207 des_dis: 0.2635 \n",
      "Ep  643\tMaxAvg100: 0.06\tMax: 0.10 [ 0.10,  0.09]\t -- t: 013038 dis: 0.740 sclr: 0.0209 des_dis: 0.2633 [S]\n",
      "Ep  644\tMaxAvg100: 0.06\tMax: 0.10 [ 0.10, -0.01]\t -- t: 013068 dis: 0.342 sclr: 0.0240 des_dis: 0.2632 [S]\n",
      "Ep  645\tMaxAvg100: 0.06\tMax: 0.00 [-0.01,  0.00]\t -- t: 013082 dis: 0.439 sclr: 0.0250 des_dis: 0.2632 [S]\n",
      "Ep  646\tMaxAvg100: 0.06\tMax: 0.10 [ 0.10, -0.01]\t -- t: 013125 dis: 0.502 sclr: 0.0253 des_dis: 0.2631 \n",
      "Ep  647\tMaxAvg100: 0.06\tMax: 0.40 [ 0.40,  0.29]\t -- t: 013276 dis: 1.099 sclr: 0.0231 des_dis: 0.2627 \n",
      "Ep  648\tMaxAvg100: 0.06\tMax: 0.09 [ 0.00,  0.09]\t -- t: 013306 dis: 0.276 sclr: 0.0236 des_dis: 0.2626 [S]\n",
      "Ep  649\tMaxAvg100: 0.06\tMax: 0.00 [-0.01,  0.00]\t -- t: 013320 dis: 0.526 sclr: 0.0250 des_dis: 0.2626 [S]\n",
      "Ep  650\tMaxAvg100: 0.06\tMax: 0.00 [ 0.00, -0.01]\t -- t: 013333 dis: 0.747 sclr: 0.0248 des_dis: 0.2626 \n",
      "Ep  651\tMaxAvg100: 0.06\tMax: 0.10 [ 0.10,  0.09]\t -- t: 013387 dis: 0.636 sclr: 0.0233 des_dis: 0.2624 \n",
      "Ep  652\tMaxAvg100: 0.06\tMax: 0.10 [ 0.10,  0.09]\t -- t: 013424 dis: 0.857 sclr: 0.0236 des_dis: 0.2623 \n",
      "Ep  653\tMaxAvg100: 0.06\tMax: 0.10 [ 0.10, -0.01]\t -- t: 013453 dis: 0.729 sclr: 0.0268 des_dis: 0.2622 [S]\n",
      "Ep  654\tMaxAvg100: 0.06\tMax: 0.00 [-0.01,  0.00]\t -- t: 013467 dis: 0.646 sclr: 0.0268 des_dis: 0.2622 [S]\n",
      "Ep  655\tMaxAvg100: 0.06\tMax: 0.20 [ 0.09,  0.20]\t -- t: 013538 dis: 0.962 sclr: 0.0250 des_dis: 0.2620 [S]\n",
      "Ep  656\tMaxAvg100: 0.06\tMax: 0.00 [-0.01,  0.00]\t -- t: 013553 dis: 0.887 sclr: 0.0248 des_dis: 0.2620 [S]\n",
      "Ep  657\tMaxAvg100: 0.06\tMax: 0.10 [ 0.10,  0.09]\t -- t: 013605 dis: 0.204 sclr: 0.0303 des_dis: 0.2618 [S]\n",
      "Ep  658\tMaxAvg100: 0.06\tMax: 0.00 [-0.01,  0.00]\t -- t: 013619 dis: 0.751 sclr: 0.0303 des_dis: 0.2618 [S]\n",
      "Ep  659\tMaxAvg100: 0.06\tMax: 0.00 [-0.01,  0.00]\t -- t: 013633 dis: 0.963 sclr: 0.0291 des_dis: 0.2618 \n",
      "Ep  660\tMaxAvg100: 0.06\tMax: 0.10 [-0.01,  0.10]\t -- t: 013663 dis: 1.184 sclr: 0.0274 des_dis: 0.2617 \n",
      "Ep  661\tMaxAvg100: 0.06\tMax: 0.10 [ 0.10, -0.01]\t -- t: 013693 dis: 0.946 sclr: 0.0274 des_dis: 0.2616 \n",
      "Ep  662\tMaxAvg100: 0.06\tMax: 0.20 [ 0.20,  0.09]\t -- t: 013763 dis: 1.002 sclr: 0.0309 des_dis: 0.2614 \n",
      "Ep  663\tMaxAvg100: 0.06\tMax: 0.10 [ 0.09,  0.10]\t -- t: 013815 dis: 0.824 sclr: 0.0315 des_dis: 0.2613 [S]\n",
      "Ep  664\tMaxAvg100: 0.06\tMax: 0.00 [-0.01,  0.00]\t -- t: 013828 dis: 0.580 sclr: 0.0318 des_dis: 0.2613 [S]\n",
      "Ep  665\tMaxAvg100: 0.06\tMax: 0.00 [-0.01,  0.00]\t -- t: 013843 dis: 0.601 sclr: 0.0309 des_dis: 0.2612 \n",
      "Ep  666\tMaxAvg100: 0.06\tMax: 0.10 [ 0.10, -0.01]\t -- t: 013875 dis: 1.160 sclr: 0.0309 des_dis: 0.2611 \n",
      "Ep  667\tMaxAvg100: 0.06\tMax: 0.00 [-0.01,  0.00]\t -- t: 013889 dis: 0.503 sclr: 0.0315 des_dis: 0.2611 \n",
      "Ep  668\tMaxAvg100: 0.06\tMax: 0.00 [-0.01,  0.00]\t -- t: 013902 dis: 0.338 sclr: 0.0325 des_dis: 0.2611 \n",
      "Ep  669\tMaxAvg100: 0.06\tMax: 0.00 [-0.01,  0.00]\t -- t: 013917 dis: 0.511 sclr: 0.0342 des_dis: 0.2610 \n",
      "Ep  670\tMaxAvg100: 0.06\tMax: 0.10 [ 0.10,  0.09]\t -- t: 013968 dis: 0.999 sclr: 0.0338 des_dis: 0.2609 \n",
      "Ep  671\tMaxAvg100: 0.06\tMax: 0.00 [-0.01,  0.00]\t -- t: 013981 dis: 0.480 sclr: 0.0342 des_dis: 0.2609 \n",
      "Ep  672\tMaxAvg100: 0.06\tMax: 0.00 [-0.01,  0.00]\t -- t: 013996 dis: 0.424 sclr: 0.0352 des_dis: 0.2608 \n",
      "Ep  673\tMaxAvg100: 0.06\tMax: 0.00 [ 0.00, -0.01]\t -- t: 014010 dis: 1.291 sclr: 0.0331 des_dis: 0.2608 \n",
      "Ep  674\tMaxAvg100: 0.06\tMax: 0.10 [ 0.10,  0.09]\t -- t: 014061 dis: 0.938 sclr: 0.0335 des_dis: 0.2606 \n",
      "Ep  675\tMaxAvg100: 0.06\tMax: 0.00 [ 0.00, -0.01]\t -- t: 014075 dis: 0.864 sclr: 0.0328 des_dis: 0.2606 \n",
      "Ep  676\tMaxAvg100: 0.06\tMax: 0.10 [ 0.10, -0.01]\t -- t: 014107 dis: 0.733 sclr: 0.0349 des_dis: 0.2605 \n",
      "Ep  677\tMaxAvg100: 0.06\tMax: 0.00 [-0.01,  0.00]\t -- t: 014122 dis: 0.570 sclr: 0.0367 des_dis: 0.2605 \n",
      "Ep  678\tMaxAvg100: 0.06\tMax: 0.00 [-0.01,  0.00]\t -- t: 014136 dis: 0.729 sclr: 0.0374 des_dis: 0.2605 \n",
      "Ep  679\tMaxAvg100: 0.06\tMax: 0.20 [ 0.20,  0.19]\t -- t: 014228 dis: 1.019 sclr: 0.0414 des_dis: 0.2602 \n",
      "Ep  680\tMaxAvg100: 0.06\tMax: 0.00 [-0.01,  0.00]\t -- t: 014243 dis: 0.778 sclr: 0.0409 des_dis: 0.2602 \n",
      "Ep  681\tMaxAvg100: 0.06\tMax: 0.00 [-0.01,  0.00]\t -- t: 014257 dis: 0.647 sclr: 0.0401 des_dis: 0.2601 [S]\n",
      "Ep  682\tMaxAvg100: 0.06\tMax: 0.00 [ 0.00, -0.01]\t -- t: 014271 dis: 1.224 sclr: 0.0370 des_dis: 0.2601 [S]\n",
      "Ep  683\tMaxAvg100: 0.06\tMax: 0.30 [ 0.19,  0.30]\t -- t: 014383 dis: 0.746 sclr: 0.0363 des_dis: 0.2598 \n",
      "Ep  684\tMaxAvg100: 0.06\tMax: 0.10 [ 0.09,  0.10]\t -- t: 014434 dis: 0.495 sclr: 0.0374 des_dis: 0.2597 [S]\n",
      "Ep  685\tMaxAvg100: 0.06\tMax: 0.00 [-0.01,  0.00]\t -- t: 014448 dis: 0.671 sclr: 0.0367 des_dis: 0.2596 [S]\n",
      "Ep  686\tMaxAvg100: 0.06\tMax: 0.00 [-0.01,  0.00]\t -- t: 014462 dis: 0.451 sclr: 0.0374 des_dis: 0.2596 [S]\n",
      "Ep  687\tMaxAvg100: 0.06\tMax: 0.10 [ 0.10,  0.09]\t -- t: 014512 dis: 0.936 sclr: 0.0367 des_dis: 0.2595 [S]\n",
      "Ep  688\tMaxAvg100: 0.07\tMax: 0.10 [ 0.10,  0.09]\t -- t: 014571 dis: 1.057 sclr: 0.0335 des_dis: 0.2593 [S]\n",
      "Ep  689\tMaxAvg100: 0.07\tMax: 0.00 [-0.01,  0.00]\t -- t: 014586 dis: 0.831 sclr: 0.0318 des_dis: 0.2593 [S]\n",
      "Ep  690\tMaxAvg100: 0.07\tMax: 0.00 [ 0.00, -0.01]\t -- t: 014600 dis: 1.369 sclr: 0.0294 des_dis: 0.2592 \n",
      "Ep  691\tMaxAvg100: 0.06\tMax: 0.00 [ 0.00, -0.01]\t -- t: 014614 dis: 0.926 sclr: 0.0277 des_dis: 0.2592 \n",
      "Ep  692\tMaxAvg100: 0.06\tMax: 0.20 [ 0.09,  0.20]\t -- t: 014684 dis: 0.389 sclr: 0.0271 des_dis: 0.2590 \n",
      "Ep  693\tMaxAvg100: 0.07\tMax: 0.00 [-0.01,  0.00]\t -- t: 014699 dis: 0.567 sclr: 0.0268 des_dis: 0.2590 \n",
      "Ep  694\tMaxAvg100: 0.06\tMax: 0.00 [-0.01,  0.00]\t -- t: 014713 dis: 0.703 sclr: 0.0263 des_dis: 0.2590 \n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Ep  695\tMaxAvg100: 0.06\tMax: 0.00 [-0.01,  0.00]\t -- t: 014727 dis: 0.776 sclr: 0.0258 des_dis: 0.2589 \n",
      "Ep  696\tMaxAvg100: 0.06\tMax: 0.00 [ 0.00, -0.01]\t -- t: 014740 dis: 0.955 sclr: 0.0245 des_dis: 0.2589 \n",
      "Ep  697\tMaxAvg100: 0.06\tMax: 0.00 [-0.01,  0.00]\t -- t: 014754 dis: 0.857 sclr: 0.0236 des_dis: 0.2588 \n",
      "Ep  698\tMaxAvg100: 0.06\tMax: 0.20 [ 0.09,  0.20]\t -- t: 014825 dis: 0.476 sclr: 0.0253 des_dis: 0.2587 \n",
      "Ep  699\tMaxAvg100: 0.06\tMax: 0.10 [ 0.10,  0.09]\t -- t: 014877 dis: 0.871 sclr: 0.0274 des_dis: 0.2585 \n",
      "Ep  700\tMaxAvg100: 0.06\tMax: 0.10 [ 0.10,  0.09]\t -- t: 014931 dis: 1.092 sclr: 0.0268 des_dis: 0.2584 \n",
      "Ep  701\tMaxAvg100: 0.06\tMax: 0.20 [ 0.09,  0.20]\t -- t: 015024 dis: 0.627 sclr: 0.0266 des_dis: 0.2582 \n",
      "Ep  702\tMaxAvg100: 0.06\tMax: 0.00 [ 0.00, -0.01]\t -- t: 015038 dis: 1.073 sclr: 0.0255 des_dis: 0.2581 \n",
      "Ep  703\tMaxAvg100: 0.06\tMax: 0.00 [-0.01,  0.00]\t -- t: 015052 dis: 1.001 sclr: 0.0245 des_dis: 0.2581 \n",
      "Ep  704\tMaxAvg100: 0.06\tMax: 0.00 [-0.01,  0.00]\t -- t: 015067 dis: 1.011 sclr: 0.0233 des_dis: 0.2580 \n",
      "Ep  705\tMaxAvg100: 0.06\tMax: 0.10 [ 0.10,  0.09]\t -- t: 015118 dis: 0.981 sclr: 0.0231 des_dis: 0.2579 \n",
      "Ep  706\tMaxAvg100: 0.06\tMax: 0.00 [-0.01,  0.00]\t -- t: 015132 dis: 0.720 sclr: 0.0222 des_dis: 0.2579 \n",
      "Ep  707\tMaxAvg100: 0.06\tMax: 0.00 [ 0.00, -0.01]\t -- t: 015147 dis: 0.435 sclr: 0.0229 des_dis: 0.2578 \n",
      "Ep  708\tMaxAvg100: 0.06\tMax: 0.20 [ 0.19,  0.20]\t -- t: 015236 dis: 0.926 sclr: 0.0250 des_dis: 0.2576 \n",
      "Ep  709\tMaxAvg100: 0.06\tMax: 0.10 [ 0.10,  0.09]\t -- t: 015298 dis: 0.334 sclr: 0.0245 des_dis: 0.2574 \n",
      "Ep  710\tMaxAvg100: 0.06\tMax: 0.00 [ 0.00, -0.01]\t -- t: 015312 dis: 0.932 sclr: 0.0231 des_dis: 0.2574 \n",
      "Ep  711\tMaxAvg100: 0.06\tMax: 0.10 [ 0.10,  0.09]\t -- t: 015366 dis: 0.383 sclr: 0.0236 des_dis: 0.2573 \n",
      "Ep  712\tMaxAvg100: 0.06\tMax: 0.00 [-0.01,  0.00]\t -- t: 015380 dis: 0.832 sclr: 0.0236 des_dis: 0.2572 \n",
      "Ep  713\tMaxAvg100: 0.06\tMax: 0.20 [ 0.20,  0.19]\t -- t: 015472 dis: 0.667 sclr: 0.0255 des_dis: 0.2570 \n",
      "Ep  714\tMaxAvg100: 0.06\tMax: 0.10 [-0.01,  0.10]\t -- t: 015502 dis: 0.748 sclr: 0.0255 des_dis: 0.2569 \n",
      "Ep  715\tMaxAvg100: 0.06\tMax: 0.00 [-0.01,  0.00]\t -- t: 015516 dis: 0.723 sclr: 0.0255 des_dis: 0.2569 \n",
      "Ep  716\tMaxAvg100: 0.06\tMax: 0.00 [ 0.00, -0.01]\t -- t: 015530 dis: 0.927 sclr: 0.0245 des_dis: 0.2568 \n",
      "Ep  717\tMaxAvg100: 0.06\tMax: 0.00 [-0.01,  0.00]\t -- t: 015543 dis: 0.615 sclr: 0.0243 des_dis: 0.2568 \n",
      "Ep  718\tMaxAvg100: 0.06\tMax: 0.00 [-0.01,  0.00]\t -- t: 015558 dis: 0.557 sclr: 0.0245 des_dis: 0.2568 \n",
      "Ep  719\tMaxAvg100: 0.06\tMax: 0.10 [ 0.10,  0.09]\t -- t: 015611 dis: 0.684 sclr: 0.0243 des_dis: 0.2566 \n",
      "Ep  720\tMaxAvg100: 0.06\tMax: 0.00 [ 0.00, -0.01]\t -- t: 015627 dis: 0.626 sclr: 0.0253 des_dis: 0.2566 \n",
      "Ep  721\tMaxAvg100: 0.06\tMax: 0.00 [-0.01,  0.00]\t -- t: 015641 dis: 0.569 sclr: 0.0258 des_dis: 0.2566 \n",
      "Ep  722\tMaxAvg100: 0.06\tMax: 0.50 [ 0.50,  0.49]\t -- t: 015845 dis: 0.711 sclr: 0.0274 des_dis: 0.2560 \n",
      "Ep  723\tMaxAvg100: 0.06\tMax: 0.00 [-0.01,  0.00]\t -- t: 015859 dis: 0.800 sclr: 0.0268 des_dis: 0.2560 \n",
      "Ep  724\tMaxAvg100: 0.06\tMax: 0.10 [ 0.10, -0.01]\t -- t: 015890 dis: 0.963 sclr: 0.0260 des_dis: 0.2559 \n",
      "Ep  725\tMaxAvg100: 0.06\tMax: 0.00 [-0.01,  0.00]\t -- t: 015905 dis: 0.524 sclr: 0.0253 des_dis: 0.2559 \n",
      "Ep  726\tMaxAvg100: 0.06\tMax: 0.00 [ 0.00, -0.01]\t -- t: 015919 dis: 1.029 sclr: 0.0248 des_dis: 0.2559 \n",
      "Ep  727\tMaxAvg100: 0.06\tMax: 0.10 [-0.01,  0.10]\t -- t: 015951 dis: 0.603 sclr: 0.0248 des_dis: 0.2558 \n",
      "Ep  728\tMaxAvg100: 0.06\tMax: 0.10 [-0.01,  0.10]\t -- t: 015983 dis: 0.708 sclr: 0.0253 des_dis: 0.2557 \n",
      "Ep  729\tMaxAvg100: 0.06\tMax: 0.00 [ 0.00, -0.01]\t -- t: 015997 dis: 0.855 sclr: 0.0258 des_dis: 0.2557 \n",
      "Ep  730\tMaxAvg100: 0.06\tMax: 0.00 [-0.01,  0.00]\t -- t: 016012 dis: 0.557 sclr: 0.0260 des_dis: 0.2556 \n",
      "Ep  731\tMaxAvg100: 0.06\tMax: 0.00 [-0.01,  0.00]\t -- t: 016026 dis: 0.441 sclr: 0.0277 des_dis: 0.2556 \n",
      "Ep  732\tMaxAvg100: 0.06\tMax: 0.10 [ 0.10,  0.09]\t -- t: 016066 dis: 0.821 sclr: 0.0260 des_dis: 0.2555 \n",
      "Ep  733\tMaxAvg100: 0.06\tMax: 0.00 [-0.01,  0.00]\t -- t: 016080 dis: 0.509 sclr: 0.0260 des_dis: 0.2554 \n",
      "Ep  734\tMaxAvg100: 0.06\tMax: 0.00 [-0.01,  0.00]\t -- t: 016094 dis: 0.740 sclr: 0.0250 des_dis: 0.2554 \n",
      "Ep  735\tMaxAvg100: 0.06\tMax: 0.00 [-0.01,  0.00]\t -- t: 016108 dis: 0.692 sclr: 0.0240 des_dis: 0.2554 \n",
      "Ep  736\tMaxAvg100: 0.06\tMax: 0.00 [ 0.00, -0.01]\t -- t: 016121 dis: 1.208 sclr: 0.0220 des_dis: 0.2553 \n",
      "Ep  737\tMaxAvg100: 0.06\tMax: 0.00 [-0.01,  0.00]\t -- t: 016135 dis: 0.658 sclr: 0.0211 des_dis: 0.2553 \n",
      "Ep  738\tMaxAvg100: 0.06\tMax: 0.20 [ 0.19,  0.20]\t -- t: 016227 dis: 0.462 sclr: 0.0238 des_dis: 0.2551 \n",
      "Ep  739\tMaxAvg100: 0.06\tMax: 0.20 [ 0.09,  0.20]\t -- t: 016298 dis: 0.724 sclr: 0.0250 des_dis: 0.2549 \n",
      "Ep  740\tMaxAvg100: 0.06\tMax: 0.00 [-0.01,  0.00]\t -- t: 016312 dis: 0.344 sclr: 0.0250 des_dis: 0.2548 \n",
      "Ep  741\tMaxAvg100: 0.06\tMax: 0.20 [ 0.09,  0.20]\t -- t: 016382 dis: 0.730 sclr: 0.0240 des_dis: 0.2547 \n",
      "Ep  742\tMaxAvg100: 0.06\tMax: 0.00 [-0.01,  0.00]\t -- t: 016396 dis: 0.859 sclr: 0.0240 des_dis: 0.2546 \n",
      "Ep  743\tMaxAvg100: 0.06\tMax: 0.10 [ 0.09,  0.10]\t -- t: 016464 dis: 0.689 sclr: 0.0240 des_dis: 0.2545 \n",
      "Ep  744\tMaxAvg100: 0.06\tMax: 0.10 [-0.01,  0.10]\t -- t: 016495 dis: 0.626 sclr: 0.0224 des_dis: 0.2544 \n",
      "Ep  745\tMaxAvg100: 0.06\tMax: 0.10 [ 0.10, -0.01]\t -- t: 016526 dis: 0.443 sclr: 0.0226 des_dis: 0.2543 \n",
      "Ep  746\tMaxAvg100: 0.06\tMax: 0.30 [ 0.30,  0.19]\t -- t: 016635 dis: 0.600 sclr: 0.0233 des_dis: 0.2540 \n",
      "Ep  747\tMaxAvg100: 0.06\tMax: 0.20 [ 0.09,  0.20]\t -- t: 016707 dis: 0.777 sclr: 0.0233 des_dis: 0.2538 \n",
      "Ep  748\tMaxAvg100: 0.06\tMax: 0.00 [ 0.00, -0.01]\t -- t: 016721 dis: 1.126 sclr: 0.0215 des_dis: 0.2538 \n",
      "Ep  749\tMaxAvg100: 0.06\tMax: 0.30 [ 0.30,  0.19]\t -- t: 016831 dis: 0.619 sclr: 0.0268 des_dis: 0.2535 \n",
      "Ep  750\tMaxAvg100: 0.06\tMax: 0.00 [ 0.00, -0.01]\t -- t: 016846 dis: 0.982 sclr: 0.0255 des_dis: 0.2535 \n",
      "Ep  751\tMaxAvg100: 0.06\tMax: 0.10 [ 0.10,  0.09]\t -- t: 016897 dis: 0.886 sclr: 0.0268 des_dis: 0.2534 \n",
      "Ep  752\tMaxAvg100: 0.06\tMax: 0.20 [ 0.20,  0.19]\t -- t: 016992 dis: 0.929 sclr: 0.0282 des_dis: 0.2531 \n",
      "Ep  753\tMaxAvg100: 0.06\tMax: 0.40 [ 0.40,  0.29]\t -- t: 017140 dis: 0.893 sclr: 0.0250 des_dis: 0.2527 \n",
      "Ep  754\tMaxAvg100: 0.07\tMax: 0.00 [ 0.00, -0.01]\t -- t: 017153 dis: 0.636 sclr: 0.0253 des_dis: 0.2527 [S]\n",
      "Ep  755\tMaxAvg100: 0.07\tMax: 0.00 [-0.01,  0.00]\t -- t: 017167 dis: 0.793 sclr: 0.0248 des_dis: 0.2527 [S]\n",
      "Ep  756\tMaxAvg100: 0.07\tMax: 0.20 [ 0.09,  0.20]\t -- t: 017237 dis: 0.335 sclr: 0.0248 des_dis: 0.2525 \n",
      "Ep  757\tMaxAvg100: 0.07\tMax: 0.00 [ 0.00, -0.01]\t -- t: 017250 dis: 1.261 sclr: 0.0231 des_dis: 0.2525 [S]\n",
      "Ep  758\tMaxAvg100: 0.07\tMax: 0.00 [ 0.00, -0.01]\t -- t: 017265 dis: 0.793 sclr: 0.0220 des_dis: 0.2524 \n",
      "Ep  759\tMaxAvg100: 0.07\tMax: 0.00 [ 0.00, -0.01]\t -- t: 017279 dis: 0.703 sclr: 0.0215 des_dis: 0.2524 \n",
      "Ep  760\tMaxAvg100: 0.07\tMax: 0.10 [ 0.10,  0.09]\t -- t: 017331 dis: 0.606 sclr: 0.0220 des_dis: 0.2523 \n",
      "Ep  761\tMaxAvg100: 0.07\tMax: 0.10 [ 0.10, -0.01]\t -- t: 017362 dis: 0.670 sclr: 0.0226 des_dis: 0.2522 \n",
      "Ep  762\tMaxAvg100: 0.07\tMax: 0.00 [ 0.00, -0.01]\t -- t: 017376 dis: 0.965 sclr: 0.0222 des_dis: 0.2521 \n",
      "Ep  763\tMaxAvg100: 0.07\tMax: 0.20 [ 0.20,  0.19]\t -- t: 017464 dis: 0.925 sclr: 0.0231 des_dis: 0.2519 \n",
      "Ep  764\tMaxAvg100: 0.07\tMax: 0.00 [ 0.00, -0.01]\t -- t: 017478 dis: 1.012 sclr: 0.0222 des_dis: 0.2519 \n",
      "Ep  765\tMaxAvg100: 0.07\tMax: 0.00 [-0.01,  0.00]\t -- t: 017493 dis: 0.560 sclr: 0.0220 des_dis: 0.2519 \n",
      "Ep  766\tMaxAvg100: 0.07\tMax: 0.00 [ 0.00, -0.01]\t -- t: 017507 dis: 0.861 sclr: 0.0207 des_dis: 0.2518 \n",
      "Ep  767\tMaxAvg100: 0.07\tMax: 0.20 [ 0.20,  0.19]\t -- t: 017594 dis: 0.613 sclr: 0.0231 des_dis: 0.2516 \n",
      "Ep  768\tMaxAvg100: 0.07\tMax: 0.09 [ 0.00,  0.09]\t -- t: 017625 dis: 0.465 sclr: 0.0243 des_dis: 0.2515 \n",
      "Ep  769\tMaxAvg100: 0.07\tMax: 0.10 [ 0.10,  0.09]\t -- t: 017677 dis: 0.331 sclr: 0.0258 des_dis: 0.2514 [S]\n",
      "Ep  770\tMaxAvg100: 0.07\tMax: 0.00 [-0.01,  0.00]\t -- t: 017691 dis: 0.561 sclr: 0.0258 des_dis: 0.2514 [S]\n",
      "Ep  771\tMaxAvg100: 0.07\tMax: 0.10 [-0.01,  0.10]\t -- t: 017724 dis: 0.923 sclr: 0.0245 des_dis: 0.2513 \n",
      "Ep  772\tMaxAvg100: 0.07\tMax: 0.00 [ 0.00, -0.01]\t -- t: 017738 dis: 1.051 sclr: 0.0240 des_dis: 0.2512 [S]\n",
      "Ep  773\tMaxAvg100: 0.07\tMax: 0.20 [ 0.19,  0.20]\t -- t: 017831 dis: 0.371 sclr: 0.0253 des_dis: 0.2510 [S]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Ep  774\tMaxAvg100: 0.07\tMax: 0.10 [-0.01,  0.10]\t -- t: 017862 dis: 0.887 sclr: 0.0250 des_dis: 0.2509 [S]\n",
      "Ep  775\tMaxAvg100: 0.07\tMax: 0.10 [ 0.10, -0.01]\t -- t: 017893 dis: 0.930 sclr: 0.0253 des_dis: 0.2508 [S]\n",
      "Ep  776\tMaxAvg100: 0.07\tMax: 0.10 [ 0.10,  0.09]\t -- t: 017945 dis: 0.873 sclr: 0.0253 des_dis: 0.2507 [S]\n",
      "Ep  777\tMaxAvg100: 0.07\tMax: 0.00 [-0.01,  0.00]\t -- t: 017959 dis: 0.484 sclr: 0.0258 des_dis: 0.2507 [S]\n",
      "Ep  778\tMaxAvg100: 0.07\tMax: 0.10 [-0.01,  0.10]\t -- t: 017988 dis: 0.551 sclr: 0.0266 des_dis: 0.2506 [S]\n",
      "Ep  779\tMaxAvg100: 0.07\tMax: 0.20 [ 0.19,  0.20]\t -- t: 018078 dis: 0.335 sclr: 0.0318 des_dis: 0.2504 [S]\n",
      "Ep  780\tMaxAvg100: 0.07\tMax: 0.10 [ 0.10, -0.01]\t -- t: 018109 dis: 0.457 sclr: 0.0356 des_dis: 0.2503 [S]\n",
      "Ep  781\tMaxAvg100: 0.07\tMax: 0.10 [ 0.10, -0.01]\t -- t: 018141 dis: 0.933 sclr: 0.0335 des_dis: 0.2502 [S]\n",
      "Ep  782\tMaxAvg100: 0.07\tMax: 0.10 [ 0.09,  0.10]\t -- t: 018193 dis: 0.955 sclr: 0.0309 des_dis: 0.2501 [S]\n",
      "Ep  783\tMaxAvg100: 0.07\tMax: 0.00 [-0.01,  0.00]\t -- t: 018207 dis: 0.439 sclr: 0.0322 des_dis: 0.2501 [S]\n",
      "Ep  784\tMaxAvg100: 0.07\tMax: 0.00 [ 0.00, -0.01]\t -- t: 018221 dis: 1.051 sclr: 0.0315 des_dis: 0.2500 \n",
      "Ep  785\tMaxAvg100: 0.07\tMax: 0.10 [ 0.10, -0.01]\t -- t: 018251 dis: 0.943 sclr: 0.0315 des_dis: 0.2500 \n",
      "Ep  786\tMaxAvg100: 0.07\tMax: 0.10 [-0.01,  0.10]\t -- t: 018281 dis: 0.942 sclr: 0.0303 des_dis: 0.2499 \n",
      "Ep  787\tMaxAvg100: 0.07\tMax: 0.10 [ 0.10, -0.01]\t -- t: 018313 dis: 1.190 sclr: 0.0279 des_dis: 0.2498 \n",
      "Ep  788\tMaxAvg100: 0.07\tMax: 0.00 [ 0.00, -0.01]\t -- t: 018326 dis: 0.519 sclr: 0.0288 des_dis: 0.2498 \n",
      "Ep  789\tMaxAvg100: 0.07\tMax: 0.20 [ 0.20,  0.09]\t -- t: 018397 dis: 0.857 sclr: 0.0328 des_dis: 0.2496 \n",
      "Ep  790\tMaxAvg100: 0.07\tMax: 0.00 [-0.01,  0.00]\t -- t: 018410 dis: 0.776 sclr: 0.0325 des_dis: 0.2496 \n",
      "Ep  791\tMaxAvg100: 0.07\tMax: 0.20 [ 0.09,  0.20]\t -- t: 018481 dis: 0.802 sclr: 0.0322 des_dis: 0.2494 \n",
      "Ep  792\tMaxAvg100: 0.07\tMax: 0.10 [ 0.09,  0.10]\t -- t: 018536 dis: 0.577 sclr: 0.0306 des_dis: 0.2492 [S]\n",
      "Ep  793\tMaxAvg100: 0.07\tMax: 0.10 [ 0.10, -0.01]\t -- t: 018569 dis: 0.579 sclr: 0.0335 des_dis: 0.2492 \n",
      "Ep  794\tMaxAvg100: 0.07\tMax: 0.00 [ 0.00, -0.01]\t -- t: 018582 dis: 0.895 sclr: 0.0312 des_dis: 0.2491 [S]\n",
      "Ep  795\tMaxAvg100: 0.07\tMax: 0.20 [ 0.20,  0.09]\t -- t: 018654 dis: 0.779 sclr: 0.0338 des_dis: 0.2489 [S]\n",
      "Ep  796\tMaxAvg100: 0.07\tMax: 0.10 [-0.01,  0.10]\t -- t: 018685 dis: 0.884 sclr: 0.0356 des_dis: 0.2489 [S]\n",
      "Ep  797\tMaxAvg100: 0.07\tMax: 0.10 [-0.01,  0.10]\t -- t: 018716 dis: 0.492 sclr: 0.0359 des_dis: 0.2488 [S]\n",
      "Ep  798\tMaxAvg100: 0.07\tMax: 0.00 [-0.01,  0.00]\t -- t: 018729 dis: 0.748 sclr: 0.0356 des_dis: 0.2488 [S]\n",
      "Ep  799\tMaxAvg100: 0.07\tMax: 0.09 [ 0.00,  0.09]\t -- t: 018759 dis: 0.846 sclr: 0.0363 des_dis: 0.2487 \n",
      "Ep  800\tMaxAvg100: 0.07\tMax: 0.20 [ 0.20,  0.19]\t -- t: 018847 dis: 0.641 sclr: 0.0370 des_dis: 0.2485 \n",
      "Ep  801\tMaxAvg100: 0.07\tMax: 0.10 [ 0.09,  0.10]\t -- t: 018899 dis: 0.851 sclr: 0.0385 des_dis: 0.2483 \n",
      "Ep  802\tMaxAvg100: 0.07\tMax: 0.10 [ 0.10,  0.09]\t -- t: 018950 dis: 0.834 sclr: 0.0389 des_dis: 0.2482 \n",
      "Ep  803\tMaxAvg100: 0.07\tMax: 0.00 [ 0.00, -0.01]\t -- t: 018964 dis: 0.506 sclr: 0.0405 des_dis: 0.2482 \n",
      "Ep  804\tMaxAvg100: 0.07\tMax: 0.00 [-0.01,  0.00]\t -- t: 018978 dis: 0.423 sclr: 0.0414 des_dis: 0.2481 \n",
      "Ep  805\tMaxAvg100: 0.07\tMax: 0.00 [ 0.00, -0.01]\t -- t: 018992 dis: 0.418 sclr: 0.0422 des_dis: 0.2481 \n",
      "Ep  806\tMaxAvg100: 0.07\tMax: 0.00 [ 0.00, -0.01]\t -- t: 019006 dis: 0.794 sclr: 0.0405 des_dis: 0.2481 \n",
      "Ep  807\tMaxAvg100: 0.07\tMax: 0.00 [ 0.00, -0.01]\t -- t: 019020 dis: 1.017 sclr: 0.0397 des_dis: 0.2480 \n",
      "Ep  808\tMaxAvg100: 0.07\tMax: 0.00 [-0.01,  0.00]\t -- t: 019034 dis: 0.597 sclr: 0.0389 des_dis: 0.2480 \n",
      "Ep  809\tMaxAvg100: 0.07\tMax: 0.00 [-0.01,  0.00]\t -- t: 019048 dis: 0.869 sclr: 0.0374 des_dis: 0.2480 \n",
      "Ep  810\tMaxAvg100: 0.07\tMax: 0.00 [ 0.00, -0.01]\t -- t: 019061 dis: 1.085 sclr: 0.0356 des_dis: 0.2479 \n",
      "Ep  811\tMaxAvg100: 0.07\tMax: 0.00 [-0.01,  0.00]\t -- t: 019076 dis: 0.841 sclr: 0.0331 des_dis: 0.2479 \n",
      "Ep  812\tMaxAvg100: 0.07\tMax: 0.10 [ 0.10, -0.01]\t -- t: 019107 dis: 0.906 sclr: 0.0328 des_dis: 0.2478 \n",
      "Ep  813\tMaxAvg100: 0.07\tMax: 0.10 [ 0.10,  0.09]\t -- t: 019159 dis: 0.673 sclr: 0.0363 des_dis: 0.2477 \n",
      "Ep  814\tMaxAvg100: 0.07\tMax: 0.00 [-0.01,  0.00]\t -- t: 019173 dis: 0.806 sclr: 0.0349 des_dis: 0.2477 \n",
      "Ep  815\tMaxAvg100: 0.07\tMax: 0.00 [-0.01,  0.00]\t -- t: 019187 dis: 1.101 sclr: 0.0315 des_dis: 0.2476 \n",
      "Ep  816\tMaxAvg100: 0.07\tMax: 0.00 [-0.01,  0.00]\t -- t: 019201 dis: 0.729 sclr: 0.0303 des_dis: 0.2476 \n",
      "Ep  817\tMaxAvg100: 0.07\tMax: 0.00 [-0.01,  0.00]\t -- t: 019215 dis: 0.667 sclr: 0.0291 des_dis: 0.2476 \n",
      "Ep  818\tMaxAvg100: 0.07\tMax: 0.00 [-0.01,  0.00]\t -- t: 019228 dis: 0.406 sclr: 0.0294 des_dis: 0.2475 \n",
      "Ep  819\tMaxAvg100: 0.07\tMax: 0.20 [ 0.20,  0.19]\t -- t: 019318 dis: 1.019 sclr: 0.0325 des_dis: 0.2473 \n",
      "Ep  820\tMaxAvg100: 0.07\tMax: 0.10 [ 0.09,  0.10]\t -- t: 019369 dis: 0.749 sclr: 0.0309 des_dis: 0.2472 \n",
      "Ep  821\tMaxAvg100: 0.07\tMax: 0.00 [-0.01,  0.00]\t -- t: 019384 dis: 0.375 sclr: 0.0312 des_dis: 0.2471 \n",
      "Ep  822\tMaxAvg100: 0.07\tMax: 0.00 [ 0.00, -0.01]\t -- t: 019398 dis: 0.692 sclr: 0.0312 des_dis: 0.2471 \n",
      "Ep  823\tMaxAvg100: 0.07\tMax: 0.20 [ 0.20,  0.19]\t -- t: 019486 dis: 0.762 sclr: 0.0312 des_dis: 0.2469 \n",
      "Ep  824\tMaxAvg100: 0.07\tMax: 0.00 [-0.01,  0.00]\t -- t: 019499 dis: 0.701 sclr: 0.0303 des_dis: 0.2469 \n",
      "Ep  825\tMaxAvg100: 0.07\tMax: 0.30 [ 0.18,  0.30]\t -- t: 019610 dis: 0.905 sclr: 0.0300 des_dis: 0.2466 \n",
      "Ep  826\tMaxAvg100: 0.07\tMax: 0.00 [-0.01,  0.00]\t -- t: 019623 dis: 0.694 sclr: 0.0297 des_dis: 0.2465 \n",
      "Ep  827\tMaxAvg100: 0.07\tMax: 0.00 [-0.01,  0.00]\t -- t: 019638 dis: 1.054 sclr: 0.0277 des_dis: 0.2465 \n",
      "Ep  828\tMaxAvg100: 0.07\tMax: 0.30 [ 0.30,  0.19]\t -- t: 019746 dis: 0.563 sclr: 0.0331 des_dis: 0.2462 \n",
      "Ep  829\tMaxAvg100: 0.07\tMax: 0.10 [ 0.09,  0.10]\t -- t: 019798 dis: 0.588 sclr: 0.0318 des_dis: 0.2461 \n",
      "Ep  830\tMaxAvg100: 0.07\tMax: 0.09 [ 0.00,  0.09]\t -- t: 019828 dis: 0.739 sclr: 0.0312 des_dis: 0.2460 \n",
      "Ep  831\tMaxAvg100: 0.07\tMax: 0.09 [ 0.00,  0.09]\t -- t: 019858 dis: 0.703 sclr: 0.0318 des_dis: 0.2460 \n",
      "Ep  832\tMaxAvg100: 0.07\tMax: 0.00 [-0.01,  0.00]\t -- t: 019872 dis: 0.651 sclr: 0.0306 des_dis: 0.2459 [S]\n",
      "Ep  833\tMaxAvg100: 0.07\tMax: 0.30 [ 0.19,  0.30]\t -- t: 019983 dis: 1.270 sclr: 0.0335 des_dis: 0.2457 \n",
      "Ep  834\tMaxAvg100: 0.08\tMax: 0.10 [ 0.10,  0.09]\t -- t: 020030 dis: 0.957 sclr: 0.0382 des_dis: 0.2455 [S]\n",
      "Ep  835\tMaxAvg100: 0.08\tMax: 0.00 [-0.01,  0.00]\t -- t: 020044 dis: 0.984 sclr: 0.0352 des_dis: 0.2455 [S]\n",
      "Ep  836\tMaxAvg100: 0.08\tMax: 0.00 [-0.01,  0.00]\t -- t: 020058 dis: 0.735 sclr: 0.0338 des_dis: 0.2455 [S]\n",
      "Ep  837\tMaxAvg100: 0.08\tMax: 0.10 [ 0.10,  0.09]\t -- t: 020110 dis: 0.953 sclr: 0.0331 des_dis: 0.2453 [S]\n",
      "Ep  838\tMaxAvg100: 0.08\tMax: 0.00 [-0.01,  0.00]\t -- t: 020123 dis: 0.565 sclr: 0.0328 des_dis: 0.2453 [S]\n",
      "Ep  839\tMaxAvg100: 0.08\tMax: 0.00 [ 0.00, -0.01]\t -- t: 020138 dis: 0.690 sclr: 0.0325 des_dis: 0.2453 \n",
      "Ep  840\tMaxAvg100: 0.08\tMax: 0.10 [ 0.10,  0.09]\t -- t: 020189 dis: 0.900 sclr: 0.0349 des_dis: 0.2452 \n",
      "Ep  841\tMaxAvg100: 0.08\tMax: 0.00 [ 0.00, -0.01]\t -- t: 020203 dis: 0.807 sclr: 0.0342 des_dis: 0.2451 \n",
      "Ep  842\tMaxAvg100: 0.07\tMax: 0.00 [-0.01,  0.00]\t -- t: 020217 dis: 0.617 sclr: 0.0342 des_dis: 0.2451 \n",
      "Ep  843\tMaxAvg100: 0.07\tMax: 0.00 [ 0.00, -0.01]\t -- t: 020231 dis: 0.810 sclr: 0.0322 des_dis: 0.2451 \n",
      "Ep  844\tMaxAvg100: 0.07\tMax: 0.00 [-0.01,  0.00]\t -- t: 020245 dis: 0.622 sclr: 0.0303 des_dis: 0.2450 \n",
      "Ep  845\tMaxAvg100: 0.07\tMax: 0.00 [-0.01,  0.00]\t -- t: 020259 dis: 0.741 sclr: 0.0285 des_dis: 0.2450 \n",
      "Ep  846\tMaxAvg100: 0.07\tMax: 0.00 [ 0.00, -0.01]\t -- t: 020273 dis: 0.728 sclr: 0.0285 des_dis: 0.2449 \n",
      "Ep  847\tMaxAvg100: 0.07\tMax: 0.09 [ 0.00,  0.09]\t -- t: 020305 dis: 1.213 sclr: 0.0268 des_dis: 0.2449 \n",
      "Ep  848\tMaxAvg100: 0.07\tMax: 0.00 [-0.01,  0.00]\t -- t: 020319 dis: 0.459 sclr: 0.0263 des_dis: 0.2448 \n",
      "Ep  849\tMaxAvg100: 0.07\tMax: 0.10 [ 0.09,  0.10]\t -- t: 020370 dis: 0.480 sclr: 0.0271 des_dis: 0.2447 \n",
      "Ep  850\tMaxAvg100: 0.07\tMax: 0.20 [ 0.09,  0.20]\t -- t: 020441 dis: 0.820 sclr: 0.0291 des_dis: 0.2445 \n",
      "Ep  851\tMaxAvg100: 0.07\tMax: 0.00 [-0.01,  0.00]\t -- t: 020455 dis: 0.650 sclr: 0.0291 des_dis: 0.2445 \n",
      "Ep  852\tMaxAvg100: 0.07\tMax: 0.20 [ 0.20,  0.09]\t -- t: 020526 dis: 1.426 sclr: 0.0325 des_dis: 0.2443 \n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Ep  853\tMaxAvg100: 0.07\tMax: 0.00 [ 0.00, -0.01]\t -- t: 020540 dis: 0.869 sclr: 0.0318 des_dis: 0.2443 \n",
      "Ep  854\tMaxAvg100: 0.07\tMax: 0.00 [ 0.00, -0.01]\t -- t: 020554 dis: 0.652 sclr: 0.0312 des_dis: 0.2443 \n",
      "Ep  855\tMaxAvg100: 0.07\tMax: 0.00 [ 0.00, -0.01]\t -- t: 020568 dis: 0.689 sclr: 0.0312 des_dis: 0.2442 \n",
      "Ep  856\tMaxAvg100: 0.07\tMax: 0.20 [ 0.20,  0.19]\t -- t: 020658 dis: 0.875 sclr: 0.0331 des_dis: 0.2440 \n",
      "Ep  857\tMaxAvg100: 0.07\tMax: 0.20 [ 0.20,  0.09]\t -- t: 020728 dis: 0.566 sclr: 0.0359 des_dis: 0.2438 \n",
      "Ep  858\tMaxAvg100: 0.07\tMax: 0.10 [ 0.09,  0.10]\t -- t: 020779 dis: 0.883 sclr: 0.0328 des_dis: 0.2437 \n",
      "Ep  859\tMaxAvg100: 0.07\tMax: 0.00 [ 0.00, -0.01]\t -- t: 020793 dis: 0.776 sclr: 0.0328 des_dis: 0.2437 \n",
      "Ep  860\tMaxAvg100: 0.07\tMax: 0.00 [-0.01,  0.00]\t -- t: 020807 dis: 0.964 sclr: 0.0315 des_dis: 0.2436 \n",
      "Ep  861\tMaxAvg100: 0.07\tMax: 0.10 [ 0.10, -0.01]\t -- t: 020837 dis: 1.191 sclr: 0.0315 des_dis: 0.2436 \n",
      "Ep  862\tMaxAvg100: 0.07\tMax: 0.10 [ 0.10,  0.09]\t -- t: 020889 dis: 0.763 sclr: 0.0322 des_dis: 0.2434 \n",
      "Ep  863\tMaxAvg100: 0.07\tMax: 0.10 [ 0.10, -0.01]\t -- t: 020921 dis: 0.429 sclr: 0.0335 des_dis: 0.2434 \n",
      "Ep  864\tMaxAvg100: 0.07\tMax: 0.10 [-0.01,  0.10]\t -- t: 020951 dis: 1.045 sclr: 0.0328 des_dis: 0.2433 \n",
      "Ep  865\tMaxAvg100: 0.07\tMax: 0.00 [-0.01,  0.00]\t -- t: 020965 dis: 0.822 sclr: 0.0315 des_dis: 0.2433 \n",
      "Ep  866\tMaxAvg100: 0.07\tMax: 0.10 [ 0.10, -0.01]\t -- t: 020995 dis: 0.519 sclr: 0.0328 des_dis: 0.2432 \n",
      "Ep  867\tMaxAvg100: 0.07\tMax: 0.10 [ 0.10, -0.01]\t -- t: 021024 dis: 1.232 sclr: 0.0318 des_dis: 0.2431 \n",
      "Ep  868\tMaxAvg100: 0.07\tMax: 0.00 [ 0.00, -0.01]\t -- t: 021039 dis: 0.863 sclr: 0.0303 des_dis: 0.2431 \n",
      "Ep  869\tMaxAvg100: 0.07\tMax: 0.10 [ 0.10,  0.09]\t -- t: 021091 dis: 0.757 sclr: 0.0315 des_dis: 0.2430 \n",
      "Ep  870\tMaxAvg100: 0.07\tMax: 0.20 [ 0.09,  0.20]\t -- t: 021161 dis: 0.968 sclr: 0.0309 des_dis: 0.2428 \n",
      "Ep  871\tMaxAvg100: 0.07\tMax: 0.00 [ 0.00, -0.01]\t -- t: 021175 dis: 0.972 sclr: 0.0297 des_dis: 0.2427 \n",
      "Ep  872\tMaxAvg100: 0.07\tMax: 0.10 [ 0.10,  0.09]\t -- t: 021226 dis: 0.901 sclr: 0.0294 des_dis: 0.2426 \n",
      "Ep  873\tMaxAvg100: 0.07\tMax: 0.00 [ 0.00, -0.01]\t -- t: 021240 dis: 0.501 sclr: 0.0300 des_dis: 0.2426 \n",
      "Ep  874\tMaxAvg100: 0.07\tMax: 0.20 [ 0.20,  0.09]\t -- t: 021312 dis: 0.828 sclr: 0.0266 des_dis: 0.2424 \n",
      "Ep  875\tMaxAvg100: 0.07\tMax: 0.00 [-0.01,  0.00]\t -- t: 021325 dis: 0.903 sclr: 0.0248 des_dis: 0.2424 \n",
      "Ep  876\tMaxAvg100: 0.07\tMax: 0.19 [ 0.10,  0.19]\t -- t: 021395 dis: 1.212 sclr: 0.0238 des_dis: 0.2422 \n",
      "Ep  877\tMaxAvg100: 0.07\tMax: 0.00 [-0.01,  0.00]\t -- t: 021409 dis: 0.498 sclr: 0.0233 des_dis: 0.2422 \n",
      "Ep  878\tMaxAvg100: 0.07\tMax: 0.00 [-0.01,  0.00]\t -- t: 021423 dis: 0.397 sclr: 0.0233 des_dis: 0.2421 \n",
      "Ep  879\tMaxAvg100: 0.07\tMax: 0.20 [ 0.09,  0.20]\t -- t: 021494 dis: 0.769 sclr: 0.0236 des_dis: 0.2420 \n",
      "Ep  880\tMaxAvg100: 0.07\tMax: 0.00 [ 0.00, -0.01]\t -- t: 021507 dis: 1.058 sclr: 0.0224 des_dis: 0.2419 \n",
      "Ep  881\tMaxAvg100: 0.07\tMax: 0.10 [ 0.10,  0.09]\t -- t: 021559 dis: 0.886 sclr: 0.0233 des_dis: 0.2418 \n",
      "Ep  882\tMaxAvg100: 0.07\tMax: 0.10 [ 0.10,  0.09]\t -- t: 021610 dis: 0.883 sclr: 0.0197 des_dis: 0.2417 \n",
      "Ep  883\tMaxAvg100: 0.07\tMax: 0.00 [-0.01,  0.00]\t -- t: 021625 dis: 0.484 sclr: 0.0195 des_dis: 0.2417 \n",
      "Ep  884\tMaxAvg100: 0.07\tMax: 0.00 [ 0.00, -0.01]\t -- t: 021644 dis: 0.438 sclr: 0.0209 des_dis: 0.2416 \n",
      "Ep  885\tMaxAvg100: 0.07\tMax: 0.00 [ 0.00, -0.01]\t -- t: 021658 dis: 0.928 sclr: 0.0197 des_dis: 0.2416 \n",
      "Ep  886\tMaxAvg100: 0.07\tMax: 0.40 [ 0.29,  0.40]\t -- t: 021804 dis: 0.665 sclr: 0.0236 des_dis: 0.2412 \n",
      "Ep  887\tMaxAvg100: 0.07\tMax: 0.10 [ 0.09,  0.10]\t -- t: 021854 dis: 0.928 sclr: 0.0197 des_dis: 0.2411 \n",
      "Ep  888\tMaxAvg100: 0.07\tMax: 0.10 [-0.01,  0.10]\t -- t: 021904 dis: 0.384 sclr: 0.0217 des_dis: 0.2410 \n",
      "Ep  889\tMaxAvg100: 0.07\tMax: 0.00 [-0.01,  0.00]\t -- t: 021918 dis: 0.711 sclr: 0.0209 des_dis: 0.2410 \n",
      "Ep  890\tMaxAvg100: 0.07\tMax: 0.00 [-0.01,  0.00]\t -- t: 021937 dis: 0.374 sclr: 0.0211 des_dis: 0.2409 \n",
      "Ep  891\tMaxAvg100: 0.07\tMax: 0.10 [ 0.09,  0.10]\t -- t: 021988 dis: 0.593 sclr: 0.0217 des_dis: 0.2408 \n",
      "Ep  892\tMaxAvg100: 0.07\tMax: 0.20 [ 0.09,  0.20]\t -- t: 022058 dis: 0.714 sclr: 0.0213 des_dis: 0.2406 \n",
      "Ep  893\tMaxAvg100: 0.07\tMax: 0.00 [-0.01,  0.00]\t -- t: 022072 dis: 0.497 sclr: 0.0217 des_dis: 0.2406 \n",
      "Ep  894\tMaxAvg100: 0.07\tMax: 0.10 [ 0.10, -0.01]\t -- t: 022102 dis: 1.140 sclr: 0.0213 des_dis: 0.2405 \n",
      "Ep  895\tMaxAvg100: 0.07\tMax: 0.20 [ 0.20,  0.19]\t -- t: 022192 dis: 0.811 sclr: 0.0222 des_dis: 0.2403 \n",
      "Ep  896\tMaxAvg100: 0.07\tMax: 0.00 [ 0.00, -0.01]\t -- t: 022205 dis: 1.008 sclr: 0.0215 des_dis: 0.2403 \n",
      "Ep  897\tMaxAvg100: 0.07\tMax: 0.10 [ 0.09,  0.10]\t -- t: 022258 dis: 0.258 sclr: 0.0226 des_dis: 0.2401 \n",
      "Ep  898\tMaxAvg100: 0.07\tMax: 0.10 [-0.01,  0.10]\t -- t: 022290 dis: 1.020 sclr: 0.0222 des_dis: 0.2401 \n",
      "Ep  899\tMaxAvg100: 0.07\tMax: 0.10 [ 0.10, -0.01]\t -- t: 022320 dis: 0.729 sclr: 0.0209 des_dis: 0.2400 \n",
      "Ep  900\tMaxAvg100: 0.07\tMax: 0.10 [ 0.10,  0.09]\t -- t: 022374 dis: 0.885 sclr: 0.0205 des_dis: 0.2399 \n",
      "Ep  901\tMaxAvg100: 0.07\tMax: 0.10 [ 0.10,  0.09]\t -- t: 022426 dis: 0.857 sclr: 0.0213 des_dis: 0.2397 \n",
      "Ep  902\tMaxAvg100: 0.07\tMax: 0.10 [-0.01,  0.10]\t -- t: 022457 dis: 0.525 sclr: 0.0224 des_dis: 0.2397 \n",
      "Ep  903\tMaxAvg100: 0.07\tMax: 0.10 [ 0.10,  0.09]\t -- t: 022510 dis: 0.940 sclr: 0.0213 des_dis: 0.2395 \n",
      "Ep  904\tMaxAvg100: 0.07\tMax: 0.10 [ 0.10,  0.09]\t -- t: 022561 dis: 0.904 sclr: 0.0224 des_dis: 0.2394 \n",
      "Ep  905\tMaxAvg100: 0.07\tMax: 0.00 [ 0.00, -0.01]\t -- t: 022591 dis: 0.363 sclr: 0.0258 des_dis: 0.2393 \n",
      "Ep  906\tMaxAvg100: 0.07\tMax: 0.00 [-0.01,  0.00]\t -- t: 022605 dis: 0.562 sclr: 0.0253 des_dis: 0.2393 \n",
      "Ep  907\tMaxAvg100: 0.07\tMax: 0.10 [ 0.10,  0.09]\t -- t: 022657 dis: 1.033 sclr: 0.0220 des_dis: 0.2392 \n",
      "Ep  908\tMaxAvg100: 0.07\tMax: 0.10 [-0.01,  0.10]\t -- t: 022688 dis: 0.429 sclr: 0.0213 des_dis: 0.2391 \n",
      "Ep  909\tMaxAvg100: 0.07\tMax: 0.00 [ 0.00, -0.01]\t -- t: 022702 dis: 1.062 sclr: 0.0205 des_dis: 0.2391 \n",
      "Ep  910\tMaxAvg100: 0.07\tMax: 0.00 [ 0.00, -0.01]\t -- t: 022717 dis: 1.022 sclr: 0.0199 des_dis: 0.2390 \n",
      "Ep  911\tMaxAvg100: 0.07\tMax: 0.10 [-0.01,  0.10]\t -- t: 022748 dis: 0.123 sclr: 0.0217 des_dis: 0.2390 \n",
      "Ep  912\tMaxAvg100: 0.07\tMax: 0.30 [ 0.19,  0.30]\t -- t: 022857 dis: 0.429 sclr: 0.0233 des_dis: 0.2387 \n",
      "Ep  913\tMaxAvg100: 0.07\tMax: 0.20 [ 0.09,  0.20]\t -- t: 022924 dis: 0.755 sclr: 0.0240 des_dis: 0.2385 \n",
      "Ep  914\tMaxAvg100: 0.07\tMax: 0.10 [ 0.10,  0.09]\t -- t: 022969 dis: 0.309 sclr: 0.0258 des_dis: 0.2384 \n",
      "Ep  915\tMaxAvg100: 0.07\tMax: 0.50 [ 0.50,  0.39]\t -- t: 023155 dis: 0.935 sclr: 0.0263 des_dis: 0.2380 \n",
      "Ep  916\tMaxAvg100: 0.08\tMax: 0.00 [-0.01,  0.00]\t -- t: 023172 dis: 0.888 sclr: 0.0260 des_dis: 0.2380 [S]\n",
      "Ep  917\tMaxAvg100: 0.08\tMax: 0.10 [ 0.09,  0.10]\t -- t: 023242 dis: 0.257 sclr: 0.0255 des_dis: 0.2378 [S]\n",
      "Ep  918\tMaxAvg100: 0.08\tMax: 0.00 [-0.01,  0.00]\t -- t: 023256 dis: 0.928 sclr: 0.0245 des_dis: 0.2378 [S]\n",
      "Ep  919\tMaxAvg100: 0.08\tMax: 0.10 [ 0.10, -0.01]\t -- t: 023285 dis: 0.821 sclr: 0.0233 des_dis: 0.2377 [S]\n",
      "Ep  920\tMaxAvg100: 0.08\tMax: 0.10 [ 0.10, -0.01]\t -- t: 023316 dis: 0.850 sclr: 0.0231 des_dis: 0.2376 \n",
      "Ep  921\tMaxAvg100: 0.08\tMax: 0.00 [-0.01,  0.00]\t -- t: 023330 dis: 0.421 sclr: 0.0236 des_dis: 0.2376 \n",
      "Ep  922\tMaxAvg100: 0.08\tMax: 0.00 [ 0.00, -0.01]\t -- t: 023343 dis: 1.271 sclr: 0.0215 des_dis: 0.2375 \n",
      "Ep  923\tMaxAvg100: 0.08\tMax: 0.00 [ 0.00, -0.01]\t -- t: 023358 dis: 1.135 sclr: 0.0193 des_dis: 0.2375 \n",
      "Ep  924\tMaxAvg100: 0.08\tMax: 0.00 [ 0.00, -0.01]\t -- t: 023372 dis: 0.986 sclr: 0.0185 des_dis: 0.2375 \n",
      "Ep  925\tMaxAvg100: 0.08\tMax: 0.10 [ 0.10, -0.01]\t -- t: 023403 dis: 1.176 sclr: 0.0172 des_dis: 0.2374 \n",
      "Ep  926\tMaxAvg100: 0.08\tMax: 0.30 [ 0.30,  0.29]\t -- t: 023530 dis: 1.010 sclr: 0.0197 des_dis: 0.2371 \n",
      "Ep  927\tMaxAvg100: 0.08\tMax: 0.20 [ 0.20,  0.19]\t -- t: 023621 dis: 0.791 sclr: 0.0199 des_dis: 0.2369 \n",
      "Ep  928\tMaxAvg100: 0.08\tMax: 0.00 [ 0.00, -0.01]\t -- t: 023635 dis: 1.185 sclr: 0.0183 des_dis: 0.2369 [S]\n",
      "Ep  929\tMaxAvg100: 0.08\tMax: 0.00 [ 0.00, -0.01]\t -- t: 023649 dis: 0.787 sclr: 0.0183 des_dis: 0.2368 \n",
      "Ep  930\tMaxAvg100: 0.08\tMax: 0.10 [ 0.09,  0.10]\t -- t: 023701 dis: 0.416 sclr: 0.0211 des_dis: 0.2367 \n",
      "Ep  931\tMaxAvg100: 0.08\tMax: 0.00 [ 0.00, -0.01]\t -- t: 023714 dis: 1.175 sclr: 0.0201 des_dis: 0.2367 \n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Ep  932\tMaxAvg100: 0.08\tMax: 0.10 [ 0.10,  0.09]\t -- t: 023767 dis: 1.014 sclr: 0.0203 des_dis: 0.2365 \n",
      "Ep  933\tMaxAvg100: 0.08\tMax: 0.20 [ 0.09,  0.20]\t -- t: 023839 dis: 0.477 sclr: 0.0220 des_dis: 0.2364 \n",
      "Ep  934\tMaxAvg100: 0.08\tMax: 0.20 [ 0.19,  0.20]\t -- t: 023931 dis: 0.529 sclr: 0.0229 des_dis: 0.2362 \n",
      "Ep  935\tMaxAvg100: 0.08\tMax: 0.00 [-0.01,  0.00]\t -- t: 023944 dis: 0.968 sclr: 0.0222 des_dis: 0.2361 \n",
      "Ep  936\tMaxAvg100: 0.08\tMax: 0.10 [ 0.09,  0.10]\t -- t: 023996 dis: 0.591 sclr: 0.0255 des_dis: 0.2360 \n",
      "Ep  937\tMaxAvg100: 0.08\tMax: 0.10 [ 0.10,  0.09]\t -- t: 024048 dis: 0.732 sclr: 0.0260 des_dis: 0.2359 \n",
      "Ep  938\tMaxAvg100: 0.08\tMax: 0.10 [ 0.09,  0.10]\t -- t: 024100 dis: 0.685 sclr: 0.0250 des_dis: 0.2358 \n",
      "Ep  939\tMaxAvg100: 0.08\tMax: 0.00 [ 0.00, -0.01]\t -- t: 024114 dis: 0.769 sclr: 0.0236 des_dis: 0.2357 \n",
      "Ep  940\tMaxAvg100: 0.08\tMax: 0.10 [ 0.10, -0.01]\t -- t: 024145 dis: 1.055 sclr: 0.0224 des_dis: 0.2356 \n",
      "Ep  941\tMaxAvg100: 0.08\tMax: 0.00 [ 0.00, -0.01]\t -- t: 024159 dis: 0.765 sclr: 0.0224 des_dis: 0.2356 \n",
      "Ep  942\tMaxAvg100: 0.08\tMax: 0.10 [ 0.09,  0.10]\t -- t: 024211 dis: 0.587 sclr: 0.0203 des_dis: 0.2355 \n",
      "Ep  943\tMaxAvg100: 0.08\tMax: 0.00 [-0.01,  0.00]\t -- t: 024225 dis: 0.797 sclr: 0.0199 des_dis: 0.2355 \n",
      "Ep  944\tMaxAvg100: 0.08\tMax: 0.00 [-0.01,  0.00]\t -- t: 024239 dis: 0.688 sclr: 0.0195 des_dis: 0.2354 \n",
      "Ep  945\tMaxAvg100: 0.08\tMax: 0.30 [ 0.29,  0.30]\t -- t: 024368 dis: 0.606 sclr: 0.0193 des_dis: 0.2351 \n",
      "Ep  946\tMaxAvg100: 0.08\tMax: 0.10 [ 0.10, -0.01]\t -- t: 024399 dis: 0.746 sclr: 0.0195 des_dis: 0.2350 [S]\n",
      "Ep  947\tMaxAvg100: 0.08\tMax: 0.00 [ 0.00, -0.01]\t -- t: 024414 dis: 1.138 sclr: 0.0181 des_dis: 0.2350 [S]\n",
      "Ep  948\tMaxAvg100: 0.08\tMax: 0.00 [-0.01,  0.00]\t -- t: 024427 dis: 0.478 sclr: 0.0183 des_dis: 0.2350 \n",
      "Ep  949\tMaxAvg100: 0.08\tMax: 0.00 [ 0.00, -0.01]\t -- t: 024441 dis: 0.595 sclr: 0.0183 des_dis: 0.2349 \n",
      "Ep  950\tMaxAvg100: 0.08\tMax: 0.10 [ 0.10, -0.01]\t -- t: 024472 dis: 1.080 sclr: 0.0171 des_dis: 0.2349 \n",
      "Ep  951\tMaxAvg100: 0.08\tMax: 0.10 [ 0.09,  0.10]\t -- t: 024524 dis: 0.241 sclr: 0.0185 des_dis: 0.2348 \n",
      "Ep  952\tMaxAvg100: 0.08\tMax: 0.10 [ 0.10,  0.09]\t -- t: 024576 dis: 0.530 sclr: 0.0178 des_dis: 0.2346 \n",
      "Ep  953\tMaxAvg100: 0.08\tMax: 0.00 [ 0.00, -0.01]\t -- t: 024590 dis: 0.872 sclr: 0.0174 des_dis: 0.2346 \n",
      "Ep  954\tMaxAvg100: 0.08\tMax: 0.20 [ 0.19,  0.20]\t -- t: 024680 dis: 0.417 sclr: 0.0197 des_dis: 0.2344 \n",
      "Ep  955\tMaxAvg100: 0.08\tMax: 0.10 [-0.01,  0.10]\t -- t: 024710 dis: 0.850 sclr: 0.0201 des_dis: 0.2343 \n",
      "Ep  956\tMaxAvg100: 0.08\tMax: 0.09 [ 0.00,  0.09]\t -- t: 024740 dis: 0.286 sclr: 0.0209 des_dis: 0.2342 [S]\n",
      "Ep  957\tMaxAvg100: 0.08\tMax: 0.00 [-0.01,  0.00]\t -- t: 024753 dis: 0.794 sclr: 0.0203 des_dis: 0.2342 \n",
      "Ep  958\tMaxAvg100: 0.08\tMax: 0.30 [ 0.19,  0.30]\t -- t: 024863 dis: 0.945 sclr: 0.0203 des_dis: 0.2340 \n",
      "Ep  959\tMaxAvg100: 0.08\tMax: 0.40 [ 0.39,  0.40]\t -- t: 025029 dis: 0.343 sclr: 0.0258 des_dis: 0.2336 \n",
      "Ep  960\tMaxAvg100: 0.08\tMax: 0.10 [ 0.09,  0.10]\t -- t: 025081 dis: 0.831 sclr: 0.0233 des_dis: 0.2335 [S]\n",
      "Ep  961\tMaxAvg100: 0.08\tMax: 0.10 [ 0.10,  0.09]\t -- t: 025135 dis: 1.182 sclr: 0.0220 des_dis: 0.2333 [S]\n",
      "Ep  962\tMaxAvg100: 0.08\tMax: 0.10 [ 0.10, -0.01]\t -- t: 025165 dis: 1.089 sclr: 0.0233 des_dis: 0.2333 [S]\n",
      "Ep  963\tMaxAvg100: 0.08\tMax: 0.40 [ 0.29,  0.40]\t -- t: 025313 dis: 0.701 sclr: 0.0238 des_dis: 0.2329 [S]\n",
      "Ep  964\tMaxAvg100: 0.08\tMax: 0.00 [ 0.00, -0.01]\t -- t: 025327 dis: 1.014 sclr: 0.0229 des_dis: 0.2329 [S]\n",
      "Ep  965\tMaxAvg100: 0.08\tMax: 0.10 [ 0.10,  0.09]\t -- t: 025378 dis: 0.863 sclr: 0.0209 des_dis: 0.2328 \n",
      "Ep  966\tMaxAvg100: 0.08\tMax: 0.00 [-0.01,  0.00]\t -- t: 025392 dis: 0.516 sclr: 0.0209 des_dis: 0.2327 [S]\n",
      "Ep  967\tMaxAvg100: 0.08\tMax: 0.00 [-0.01,  0.00]\t -- t: 025406 dis: 0.534 sclr: 0.0209 des_dis: 0.2327 \n",
      "Ep  968\tMaxAvg100: 0.08\tMax: 0.10 [ 0.10,  0.09]\t -- t: 025459 dis: 0.740 sclr: 0.0191 des_dis: 0.2326 \n",
      "Ep  969\tMaxAvg100: 0.08\tMax: 0.10 [ 0.10, -0.01]\t -- t: 025490 dis: 0.355 sclr: 0.0197 des_dis: 0.2325 \n",
      "Ep  970\tMaxAvg100: 0.08\tMax: 0.00 [ 0.00, -0.01]\t -- t: 025503 dis: 0.909 sclr: 0.0191 des_dis: 0.2325 \n",
      "Ep  971\tMaxAvg100: 0.08\tMax: 0.00 [ 0.00, -0.01]\t -- t: 025517 dis: 0.573 sclr: 0.0199 des_dis: 0.2324 \n",
      "Ep  972\tMaxAvg100: 0.08\tMax: 0.10 [ 0.10,  0.09]\t -- t: 025571 dis: 0.751 sclr: 0.0229 des_dis: 0.2323 \n",
      "Ep  973\tMaxAvg100: 0.08\tMax: 0.00 [ 0.00, -0.01]\t -- t: 025585 dis: 0.870 sclr: 0.0224 des_dis: 0.2323 \n",
      "Ep  974\tMaxAvg100: 0.08\tMax: 0.10 [ 0.10,  0.09]\t -- t: 025637 dis: 1.049 sclr: 0.0207 des_dis: 0.2322 \n",
      "Ep  975\tMaxAvg100: 0.08\tMax: 0.10 [ 0.10, -0.01]\t -- t: 025670 dis: 1.009 sclr: 0.0197 des_dis: 0.2321 \n",
      "Ep  976\tMaxAvg100: 0.08\tMax: 0.00 [-0.01,  0.00]\t -- t: 025684 dis: 0.259 sclr: 0.0205 des_dis: 0.2320 \n",
      "Ep  977\tMaxAvg100: 0.08\tMax: 0.00 [-0.01,  0.00]\t -- t: 025698 dis: 0.854 sclr: 0.0205 des_dis: 0.2320 \n",
      "Ep  978\tMaxAvg100: 0.08\tMax: 0.00 [ 0.00, -0.01]\t -- t: 025712 dis: 0.704 sclr: 0.0201 des_dis: 0.2320 \n",
      "Ep  979\tMaxAvg100: 0.08\tMax: 0.10 [ 0.10, -0.01]\t -- t: 025743 dis: 0.916 sclr: 0.0199 des_dis: 0.2319 \n",
      "Ep  980\tMaxAvg100: 0.08\tMax: 0.00 [ 0.00, -0.01]\t -- t: 025757 dis: 0.631 sclr: 0.0199 des_dis: 0.2319 \n",
      "Ep  981\tMaxAvg100: 0.08\tMax: 0.10 [ 0.10, -0.01]\t -- t: 025789 dis: 1.044 sclr: 0.0180 des_dis: 0.2318 \n",
      "Ep  982\tMaxAvg100: 0.08\tMax: 0.00 [-0.01,  0.00]\t -- t: 025803 dis: 0.433 sclr: 0.0183 des_dis: 0.2318 \n",
      "Ep  983\tMaxAvg100: 0.08\tMax: 0.00 [-0.01,  0.00]\t -- t: 025816 dis: 0.313 sclr: 0.0189 des_dis: 0.2317 \n",
      "Ep  984\tMaxAvg100: 0.08\tMax: 0.20 [ 0.20,  0.19]\t -- t: 025906 dis: 0.706 sclr: 0.0181 des_dis: 0.2315 \n",
      "Ep  985\tMaxAvg100: 0.08\tMax: 0.00 [-0.01,  0.00]\t -- t: 025920 dis: 0.550 sclr: 0.0178 des_dis: 0.2315 \n",
      "Ep  986\tMaxAvg100: 0.08\tMax: 0.20 [ 0.20,  0.09]\t -- t: 025991 dis: 0.771 sclr: 0.0215 des_dis: 0.2313 \n",
      "Ep  987\tMaxAvg100: 0.08\tMax: 0.10 [ 0.10, -0.01]\t -- t: 026021 dis: 0.434 sclr: 0.0224 des_dis: 0.2313 \n",
      "Ep  988\tMaxAvg100: 0.08\tMax: 0.10 [-0.01,  0.10]\t -- t: 026052 dis: 0.828 sclr: 0.0205 des_dis: 0.2312 \n",
      "Ep  989\tMaxAvg100: 0.08\tMax: 0.10 [-0.01,  0.10]\t -- t: 026083 dis: 0.787 sclr: 0.0199 des_dis: 0.2311 \n",
      "Ep  990\tMaxAvg100: 0.08\tMax: 0.00 [-0.01,  0.00]\t -- t: 026097 dis: 0.394 sclr: 0.0195 des_dis: 0.2311 \n",
      "Ep  991\tMaxAvg100: 0.08\tMax: 0.20 [ 0.20,  0.19]\t -- t: 026187 dis: 0.913 sclr: 0.0207 des_dis: 0.2309 \n",
      "Ep  992\tMaxAvg100: 0.08\tMax: 0.00 [-0.01,  0.00]\t -- t: 026201 dis: 0.766 sclr: 0.0199 des_dis: 0.2309 \n",
      "Ep  993\tMaxAvg100: 0.08\tMax: 0.20 [ 0.20,  0.19]\t -- t: 026291 dis: 0.730 sclr: 0.0238 des_dis: 0.2306 \n",
      "Ep  994\tMaxAvg100: 0.08\tMax: 0.00 [ 0.00, -0.01]\t -- t: 026305 dis: 0.943 sclr: 0.0229 des_dis: 0.2306 \n",
      "Ep  995\tMaxAvg100: 0.08\tMax: 0.00 [-0.01,  0.00]\t -- t: 026319 dis: 0.722 sclr: 0.0229 des_dis: 0.2306 \n",
      "Ep  996\tMaxAvg100: 0.08\tMax: 0.10 [ 0.10,  0.09]\t -- t: 026371 dis: 1.115 sclr: 0.0199 des_dis: 0.2305 \n",
      "Ep  997\tMaxAvg100: 0.08\tMax: 0.10 [ 0.09,  0.10]\t -- t: 026422 dis: 0.626 sclr: 0.0197 des_dis: 0.2303 \n",
      "Ep  998\tMaxAvg100: 0.08\tMax: 0.10 [ 0.10, -0.01]\t -- t: 026456 dis: 0.737 sclr: 0.0201 des_dis: 0.2303 \n",
      "Ep  999\tMaxAvg100: 0.08\tMax: 0.30 [ 0.29,  0.30]\t -- t: 026584 dis: 0.508 sclr: 0.0213 des_dis: 0.2300 \n",
      "Ep 1000\tMaxAvg100: 0.08\tMax: 0.00 [ 0.00, -0.01]\t -- t: 026598 dis: 1.256 sclr: 0.0197 des_dis: 0.2299 \n",
      "Ep 1001\tMaxAvg100: 0.08\tMax: 0.09 [ 0.00,  0.09]\t -- t: 026627 dis: 0.795 sclr: 0.0199 des_dis: 0.2299 \n",
      "Ep 1002\tMaxAvg100: 0.08\tMax: 0.20 [ 0.09,  0.20]\t -- t: 026698 dis: 0.383 sclr: 0.0217 des_dis: 0.2297 \n",
      "Ep 1003\tMaxAvg100: 0.08\tMax: 0.00 [ 0.00, -0.01]\t -- t: 026711 dis: 0.966 sclr: 0.0207 des_dis: 0.2297 \n",
      "Ep 1004\tMaxAvg100: 0.08\tMax: 0.10 [ 0.09,  0.10]\t -- t: 026765 dis: 0.861 sclr: 0.0207 des_dis: 0.2296 \n",
      "Ep 1005\tMaxAvg100: 0.08\tMax: 0.20 [ 0.20,  0.09]\t -- t: 026835 dis: 0.734 sclr: 0.0215 des_dis: 0.2294 \n",
      "Ep 1006\tMaxAvg100: 0.08\tMax: 0.10 [ 0.09,  0.10]\t -- t: 026888 dis: 0.391 sclr: 0.0217 des_dis: 0.2293 [S]\n",
      "Ep 1007\tMaxAvg100: 0.09\tMax: 0.10 [ 0.09,  0.10]\t -- t: 026941 dis: 0.515 sclr: 0.0233 des_dis: 0.2291 [S]\n",
      "Ep 1008\tMaxAvg100: 0.09\tMax: 0.09 [ 0.00,  0.09]\t -- t: 026971 dis: 0.756 sclr: 0.0229 des_dis: 0.2291 [S]\n",
      "Ep 1009\tMaxAvg100: 0.09\tMax: 0.10 [ 0.10, -0.01]\t -- t: 027001 dis: 0.866 sclr: 0.0229 des_dis: 0.2290 [S]\n",
      "Ep 1010\tMaxAvg100: 0.09\tMax: 0.00 [-0.01,  0.00]\t -- t: 027015 dis: 0.541 sclr: 0.0224 des_dis: 0.2290 [S]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Ep 1011\tMaxAvg100: 0.09\tMax: 0.10 [-0.01,  0.10]\t -- t: 027047 dis: 0.850 sclr: 0.0211 des_dis: 0.2289 [S]\n",
      "Ep 1012\tMaxAvg100: 0.09\tMax: 0.10 [ 0.09,  0.10]\t -- t: 027098 dis: 0.194 sclr: 0.0231 des_dis: 0.2288 [S]\n",
      "Ep 1013\tMaxAvg100: 0.09\tMax: 0.10 [ 0.10, -0.01]\t -- t: 027128 dis: 0.788 sclr: 0.0231 des_dis: 0.2287 \n",
      "Ep 1014\tMaxAvg100: 0.08\tMax: 0.10 [ 0.09,  0.10]\t -- t: 027180 dis: 0.728 sclr: 0.0260 des_dis: 0.2286 \n",
      "Ep 1015\tMaxAvg100: 0.08\tMax: 0.00 [-0.01,  0.00]\t -- t: 027194 dis: 0.882 sclr: 0.0240 des_dis: 0.2286 \n",
      "Ep 1016\tMaxAvg100: 0.08\tMax: 0.10 [ 0.10, -0.01]\t -- t: 027246 dis: 1.191 sclr: 0.0226 des_dis: 0.2285 \n",
      "Ep 1017\tMaxAvg100: 0.08\tMax: 0.10 [ 0.09,  0.10]\t -- t: 027298 dis: 0.917 sclr: 0.0236 des_dis: 0.2283 \n",
      "Ep 1018\tMaxAvg100: 0.08\tMax: 0.20 [ 0.09,  0.20]\t -- t: 027366 dis: 0.169 sclr: 0.0231 des_dis: 0.2282 \n",
      "Ep 1019\tMaxAvg100: 0.08\tMax: 0.00 [ 0.00, -0.01]\t -- t: 027380 dis: 1.193 sclr: 0.0217 des_dis: 0.2281 \n",
      "Ep 1020\tMaxAvg100: 0.08\tMax: 0.10 [ 0.09,  0.10]\t -- t: 027432 dis: 0.268 sclr: 0.0240 des_dis: 0.2280 \n",
      "Ep 1021\tMaxAvg100: 0.08\tMax: 0.00 [ 0.00, -0.01]\t -- t: 027447 dis: 0.792 sclr: 0.0238 des_dis: 0.2280 \n",
      "Ep 1022\tMaxAvg100: 0.08\tMax: 0.10 [ 0.10,  0.09]\t -- t: 027499 dis: 0.558 sclr: 0.0243 des_dis: 0.2279 \n",
      "Ep 1023\tMaxAvg100: 0.08\tMax: 0.00 [-0.01,  0.00]\t -- t: 027513 dis: 0.786 sclr: 0.0238 des_dis: 0.2278 \n",
      "Ep 1024\tMaxAvg100: 0.08\tMax: 0.00 [-0.01,  0.00]\t -- t: 027527 dis: 0.472 sclr: 0.0238 des_dis: 0.2278 \n",
      "Ep 1025\tMaxAvg100: 0.08\tMax: 0.10 [ 0.09,  0.10]\t -- t: 027578 dis: 0.801 sclr: 0.0205 des_dis: 0.2277 \n",
      "Ep 1026\tMaxAvg100: 0.08\tMax: 0.09 [ 0.00,  0.09]\t -- t: 027608 dis: 0.382 sclr: 0.0226 des_dis: 0.2276 \n",
      "Ep 1027\tMaxAvg100: 0.08\tMax: 0.00 [-0.01,  0.00]\t -- t: 027622 dis: 0.868 sclr: 0.0213 des_dis: 0.2276 \n",
      "Ep 1028\tMaxAvg100: 0.08\tMax: 0.10 [ 0.10,  0.09]\t -- t: 027673 dis: 0.838 sclr: 0.0220 des_dis: 0.2275 \n",
      "Ep 1029\tMaxAvg100: 0.08\tMax: 0.20 [ 0.20,  0.19]\t -- t: 027765 dis: 1.200 sclr: 0.0215 des_dis: 0.2273 \n",
      "Ep 1030\tMaxAvg100: 0.08\tMax: 0.30 [ 0.29,  0.30]\t -- t: 027892 dis: 0.761 sclr: 0.0197 des_dis: 0.2270 \n",
      "Ep 1031\tMaxAvg100: 0.08\tMax: 0.00 [-0.01,  0.00]\t -- t: 027906 dis: 0.559 sclr: 0.0193 des_dis: 0.2269 \n",
      "Ep 1032\tMaxAvg100: 0.08\tMax: 0.10 [ 0.09,  0.10]\t -- t: 027958 dis: 0.595 sclr: 0.0197 des_dis: 0.2268 \n",
      "Ep 1033\tMaxAvg100: 0.08\tMax: 0.10 [-0.01,  0.10]\t -- t: 027990 dis: 0.724 sclr: 0.0201 des_dis: 0.2268 \n",
      "Ep 1034\tMaxAvg100: 0.08\tMax: 0.70 [ 0.59,  0.70]\t -- t: 028250 dis: 0.339 sclr: 0.0222 des_dis: 0.2262 \n",
      "Ep 1035\tMaxAvg100: 0.09\tMax: 0.20 [ 0.09,  0.20]\t -- t: 028321 dis: 0.413 sclr: 0.0274 des_dis: 0.2260 [S]\n",
      "Ep 1036\tMaxAvg100: 0.09\tMax: 0.10 [ 0.10,  0.09]\t -- t: 028373 dis: 1.421 sclr: 0.0253 des_dis: 0.2259 [S]\n",
      "Ep 1037\tMaxAvg100: 0.09\tMax: 0.10 [ 0.10, -0.01]\t -- t: 028402 dis: 1.233 sclr: 0.0222 des_dis: 0.2258 [S]\n",
      "Ep 1038\tMaxAvg100: 0.09\tMax: 0.00 [-0.01,  0.00]\t -- t: 028417 dis: 0.704 sclr: 0.0224 des_dis: 0.2258 [S]\n",
      "Ep 1039\tMaxAvg100: 0.09\tMax: 0.10 [ 0.10,  0.09]\t -- t: 028468 dis: 0.616 sclr: 0.0226 des_dis: 0.2257 \n",
      "Ep 1040\tMaxAvg100: 0.09\tMax: 0.00 [-0.01,  0.00]\t -- t: 028482 dis: 0.538 sclr: 0.0222 des_dis: 0.2256 [S]\n",
      "Ep 1041\tMaxAvg100: 0.09\tMax: 0.00 [-0.01,  0.00]\t -- t: 028496 dis: 0.764 sclr: 0.0209 des_dis: 0.2256 \n",
      "Ep 1042\tMaxAvg100: 0.09\tMax: 0.00 [ 0.00, -0.01]\t -- t: 028510 dis: 0.728 sclr: 0.0209 des_dis: 0.2256 \n",
      "Ep 1043\tMaxAvg100: 0.09\tMax: 0.10 [ 0.10,  0.09]\t -- t: 028565 dis: 1.080 sclr: 0.0215 des_dis: 0.2255 \n",
      "Ep 1044\tMaxAvg100: 0.09\tMax: 0.00 [ 0.00, -0.01]\t -- t: 028578 dis: 0.810 sclr: 0.0209 des_dis: 0.2254 \n",
      "Ep 1045\tMaxAvg100: 0.09\tMax: 0.30 [ 0.19,  0.30]\t -- t: 028687 dis: 0.613 sclr: 0.0211 des_dis: 0.2252 \n",
      "Ep 1046\tMaxAvg100: 0.09\tMax: 0.00 [ 0.00, -0.01]\t -- t: 028701 dis: 0.848 sclr: 0.0203 des_dis: 0.2252 \n",
      "Ep 1047\tMaxAvg100: 0.09\tMax: 0.00 [-0.01,  0.00]\t -- t: 028715 dis: 0.513 sclr: 0.0199 des_dis: 0.2251 \n",
      "Ep 1048\tMaxAvg100: 0.09\tMax: 0.09 [ 0.00,  0.09]\t -- t: 028747 dis: 0.840 sclr: 0.0183 des_dis: 0.2250 \n",
      "Ep 1049\tMaxAvg100: 0.09\tMax: 0.30 [ 0.30,  0.19]\t -- t: 028857 dis: 0.439 sclr: 0.0199 des_dis: 0.2248 \n",
      "Ep 1050\tMaxAvg100: 0.09\tMax: 0.10 [ 0.10,  0.09]\t -- t: 028908 dis: 1.020 sclr: 0.0189 des_dis: 0.2247 [S]\n",
      "Ep 1051\tMaxAvg100: 0.09\tMax: 0.10 [ 0.10,  0.09]\t -- t: 028960 dis: 0.682 sclr: 0.0197 des_dis: 0.2246 [S]\n",
      "Ep 1052\tMaxAvg100: 0.09\tMax: 0.20 [ 0.09,  0.20]\t -- t: 029029 dis: 0.787 sclr: 0.0199 des_dis: 0.2244 [S]\n",
      "Ep 1053\tMaxAvg100: 0.09\tMax: 0.00 [-0.01,  0.00]\t -- t: 029043 dis: 0.751 sclr: 0.0183 des_dis: 0.2244 [S]\n",
      "Ep 1054\tMaxAvg100: 0.09\tMax: 0.19 [ 0.10,  0.19]\t -- t: 029112 dis: 0.915 sclr: 0.0209 des_dis: 0.2242 [S]\n",
      "Ep 1055\tMaxAvg100: 0.09\tMax: 0.00 [ 0.00, -0.01]\t -- t: 029126 dis: 0.677 sclr: 0.0209 des_dis: 0.2242 [S]\n",
      "Ep 1056\tMaxAvg100: 0.09\tMax: 0.00 [-0.01,  0.00]\t -- t: 029139 dis: 0.777 sclr: 0.0199 des_dis: 0.2242 \n",
      "Ep 1057\tMaxAvg100: 0.09\tMax: 0.10 [ 0.09,  0.10]\t -- t: 029191 dis: 0.591 sclr: 0.0203 des_dis: 0.2241 \n",
      "Ep 1058\tMaxAvg100: 0.09\tMax: 0.00 [ 0.00, -0.01]\t -- t: 029205 dis: 0.568 sclr: 0.0207 des_dis: 0.2240 \n",
      "Ep 1059\tMaxAvg100: 0.09\tMax: 0.10 [ 0.09,  0.10]\t -- t: 029256 dis: 0.559 sclr: 0.0236 des_dis: 0.2239 \n",
      "Ep 1060\tMaxAvg100: 0.09\tMax: 0.10 [ 0.10,  0.09]\t -- t: 029311 dis: 1.132 sclr: 0.0233 des_dis: 0.2238 \n",
      "Ep 1061\tMaxAvg100: 0.09\tMax: 0.00 [ 0.00, -0.01]\t -- t: 029325 dis: 1.038 sclr: 0.0229 des_dis: 0.2238 \n",
      "Ep 1062\tMaxAvg100: 0.09\tMax: 0.10 [-0.01,  0.10]\t -- t: 029355 dis: 0.866 sclr: 0.0233 des_dis: 0.2237 \n",
      "Ep 1063\tMaxAvg100: 0.09\tMax: 0.20 [ 0.19,  0.20]\t -- t: 029446 dis: 0.816 sclr: 0.0250 des_dis: 0.2235 \n",
      "Ep 1064\tMaxAvg100: 0.09\tMax: 0.10 [ 0.10,  0.09]\t -- t: 029498 dis: 1.121 sclr: 0.0226 des_dis: 0.2234 \n",
      "Ep 1065\tMaxAvg100: 0.09\tMax: 0.10 [ 0.10,  0.09]\t -- t: 029551 dis: 0.493 sclr: 0.0211 des_dis: 0.2232 \n",
      "Ep 1066\tMaxAvg100: 0.09\tMax: 0.20 [ 0.20,  0.09]\t -- t: 029621 dis: 0.618 sclr: 0.0203 des_dis: 0.2231 \n",
      "Ep 1067\tMaxAvg100: 0.09\tMax: 0.00 [-0.01,  0.00]\t -- t: 029635 dis: 0.853 sclr: 0.0191 des_dis: 0.2231 \n",
      "Ep 1068\tMaxAvg100: 0.09\tMax: 0.00 [-0.01,  0.00]\t -- t: 029649 dis: 0.769 sclr: 0.0176 des_dis: 0.2230 \n",
      "Ep 1069\tMaxAvg100: 0.09\tMax: 0.10 [ 0.10, -0.01]\t -- t: 029679 dis: 0.672 sclr: 0.0172 des_dis: 0.2230 \n",
      "Ep 1070\tMaxAvg100: 0.09\tMax: 0.20 [ 0.09,  0.20]\t -- t: 029749 dis: 0.487 sclr: 0.0183 des_dis: 0.2228 \n",
      "Ep 1071\tMaxAvg100: 0.09\tMax: 0.00 [-0.01,  0.00]\t -- t: 029762 dis: 0.873 sclr: 0.0178 des_dis: 0.2228 \n",
      "Ep 1072\tMaxAvg100: 0.09\tMax: 0.10 [ 0.10, -0.01]\t -- t: 029785 dis: 0.471 sclr: 0.0183 des_dis: 0.2227 \n",
      "Ep 1073\tMaxAvg100: 0.09\tMax: 0.00 [-0.01,  0.00]\t -- t: 029799 dis: 0.950 sclr: 0.0169 des_dis: 0.2227 \n",
      "Ep 1074\tMaxAvg100: 0.09\tMax: 0.40 [ 0.29,  0.40]\t -- t: 029945 dis: 0.563 sclr: 0.0191 des_dis: 0.2224 \n",
      "Ep 1075\tMaxAvg100: 0.09\tMax: 0.10 [ 0.10, -0.01]\t -- t: 029970 dis: 0.732 sclr: 0.0181 des_dis: 0.2223 \n",
      "Ep 1076\tMaxAvg100: 0.09\tMax: 0.00 [-0.01,  0.00]\t -- t: 029984 dis: 0.885 sclr: 0.0171 des_dis: 0.2223 \n",
      "Ep 1077\tMaxAvg100: 0.09\tMax: 0.00 [ 0.00, -0.01]\t -- t: 029998 dis: 0.799 sclr: 0.0171 des_dis: 0.2222 \n",
      "Ep 1078\tMaxAvg100: 0.09\tMax: 0.00 [ 0.00, -0.01]\t -- t: 030012 dis: 0.483 sclr: 0.0174 des_dis: 0.2222 \n",
      "Ep 1079\tMaxAvg100: 0.09\tMax: 0.10 [ 0.09,  0.10]\t -- t: 030067 dis: 0.442 sclr: 0.0195 des_dis: 0.2221 \n",
      "Ep 1080\tMaxAvg100: 0.09\tMax: 0.10 [ 0.10, -0.01]\t -- t: 030099 dis: 0.985 sclr: 0.0195 des_dis: 0.2220 \n",
      "Ep 1081\tMaxAvg100: 0.09\tMax: 0.10 [ 0.09,  0.10]\t -- t: 030151 dis: 0.642 sclr: 0.0195 des_dis: 0.2219 \n",
      "Ep 1082\tMaxAvg100: 0.09\tMax: 0.00 [-0.01,  0.00]\t -- t: 030165 dis: 0.953 sclr: 0.0195 des_dis: 0.2219 \n",
      "Ep 1083\tMaxAvg100: 0.09\tMax: 0.00 [ 0.00, -0.01]\t -- t: 030179 dis: 0.919 sclr: 0.0187 des_dis: 0.2218 \n",
      "Ep 1084\tMaxAvg100: 0.09\tMax: 0.10 [-0.01,  0.10]\t -- t: 030209 dis: 0.345 sclr: 0.0191 des_dis: 0.2218 \n",
      "Ep 1085\tMaxAvg100: 0.09\tMax: 0.30 [ 0.30,  0.28]\t -- t: 030338 dis: 1.154 sclr: 0.0209 des_dis: 0.2215 \n",
      "Ep 1086\tMaxAvg100: 0.09\tMax: 0.00 [ 0.00, -0.01]\t -- t: 030355 dis: 1.237 sclr: 0.0191 des_dis: 0.2215 [S]\n",
      "Ep 1087\tMaxAvg100: 0.09\tMax: 0.10 [ 0.10, -0.01]\t -- t: 030386 dis: 0.986 sclr: 0.0178 des_dis: 0.2214 \n",
      "Ep 1088\tMaxAvg100: 0.09\tMax: 0.30 [ 0.30,  0.19]\t -- t: 030495 dis: 1.019 sclr: 0.0207 des_dis: 0.2211 \n",
      "Ep 1089\tMaxAvg100: 0.09\tMax: 0.10 [-0.01,  0.10]\t -- t: 030527 dis: 0.844 sclr: 0.0224 des_dis: 0.2211 [S]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Ep 1090\tMaxAvg100: 0.09\tMax: 0.10 [-0.01,  0.10]\t -- t: 030579 dis: 0.518 sclr: 0.0243 des_dis: 0.2210 [S]\n",
      "Ep 1091\tMaxAvg100: 0.09\tMax: 0.10 [ 0.10,  0.09]\t -- t: 030631 dis: 1.063 sclr: 0.0238 des_dis: 0.2208 [S]\n",
      "Ep 1092\tMaxAvg100: 0.09\tMax: 0.10 [ 0.09,  0.10]\t -- t: 030682 dis: 0.604 sclr: 0.0236 des_dis: 0.2207 \n",
      "Ep 1093\tMaxAvg100: 0.09\tMax: 0.00 [-0.01,  0.00]\t -- t: 030696 dis: 0.551 sclr: 0.0236 des_dis: 0.2207 [S]\n",
      "Ep 1094\tMaxAvg100: 0.09\tMax: 0.10 [ 0.10,  0.09]\t -- t: 030748 dis: 0.742 sclr: 0.0201 des_dis: 0.2206 \n",
      "Ep 1095\tMaxAvg100: 0.09\tMax: 0.10 [ 0.10,  0.09]\t -- t: 030802 dis: 0.784 sclr: 0.0222 des_dis: 0.2205 \n",
      "Ep 1096\tMaxAvg100: 0.09\tMax: 0.20 [ 0.09,  0.20]\t -- t: 030873 dis: 0.642 sclr: 0.0263 des_dis: 0.2203 [S]\n",
      "Ep 1097\tMaxAvg100: 0.09\tMax: 0.00 [ 0.00, -0.01]\t -- t: 030887 dis: 0.788 sclr: 0.0258 des_dis: 0.2203 [S]\n",
      "Ep 1098\tMaxAvg100: 0.09\tMax: 0.00 [-0.01,  0.00]\t -- t: 030901 dis: 0.787 sclr: 0.0253 des_dis: 0.2203 \n",
      "Ep 1099\tMaxAvg100: 0.09\tMax: 0.00 [-0.01,  0.00]\t -- t: 030915 dis: 0.563 sclr: 0.0253 des_dis: 0.2202 \n",
      "Ep 1100\tMaxAvg100: 0.09\tMax: 0.10 [ 0.09,  0.10]\t -- t: 030967 dis: 0.622 sclr: 0.0258 des_dis: 0.2201 \n",
      "Ep 1101\tMaxAvg100: 0.09\tMax: 0.00 [-0.01,  0.00]\t -- t: 030981 dis: 1.014 sclr: 0.0258 des_dis: 0.2201 \n",
      "Ep 1102\tMaxAvg100: 0.09\tMax: 0.19 [ 0.10,  0.19]\t -- t: 031050 dis: 0.739 sclr: 0.0231 des_dis: 0.2199 \n",
      "Ep 1103\tMaxAvg100: 0.09\tMax: 0.19 [ 0.10,  0.19]\t -- t: 031118 dis: 0.766 sclr: 0.0250 des_dis: 0.2198 \n",
      "Ep 1104\tMaxAvg100: 0.09\tMax: 0.30 [ 0.19,  0.30]\t -- t: 031225 dis: 0.866 sclr: 0.0224 des_dis: 0.2195 \n",
      "Ep 1105\tMaxAvg100: 0.09\tMax: 0.00 [-0.01,  0.00]\t -- t: 031238 dis: 0.969 sclr: 0.0217 des_dis: 0.2195 \n",
      "Ep 1106\tMaxAvg100: 0.09\tMax: 0.00 [-0.01,  0.00]\t -- t: 031252 dis: 0.875 sclr: 0.0213 des_dis: 0.2195 \n",
      "Ep 1107\tMaxAvg100: 0.09\tMax: 0.20 [ 0.20,  0.09]\t -- t: 031342 dis: 1.047 sclr: 0.0201 des_dis: 0.2193 \n",
      "Ep 1108\tMaxAvg100: 0.09\tMax: 0.40 [ 0.39,  0.40]\t -- t: 031509 dis: 0.376 sclr: 0.0215 des_dis: 0.2189 \n",
      "Ep 1109\tMaxAvg100: 0.09\tMax: 0.30 [ 0.19,  0.30]\t -- t: 031617 dis: 0.779 sclr: 0.0224 des_dis: 0.2187 [S]\n",
      "Ep 1110\tMaxAvg100: 0.09\tMax: 0.30 [ 0.30,  0.29]\t -- t: 031745 dis: 0.424 sclr: 0.0220 des_dis: 0.2184 [S]\n",
      "Ep 1111\tMaxAvg100: 0.10\tMax: 0.10 [ 0.10,  0.09]\t -- t: 031797 dis: 1.112 sclr: 0.0220 des_dis: 0.2183 [S]\n",
      "Ep 1112\tMaxAvg100: 0.10\tMax: 0.10 [-0.01,  0.10]\t -- t: 031830 dis: 0.496 sclr: 0.0213 des_dis: 0.2182 [S]\n",
      "Ep 1113\tMaxAvg100: 0.10\tMax: 0.10 [ 0.09,  0.10]\t -- t: 031882 dis: 0.896 sclr: 0.0185 des_dis: 0.2181 [S]\n",
      "Ep 1114\tMaxAvg100: 0.10\tMax: 0.00 [-0.01,  0.00]\t -- t: 031896 dis: 0.610 sclr: 0.0181 des_dis: 0.2181 [S]\n",
      "Ep 1115\tMaxAvg100: 0.10\tMax: 0.00 [-0.01,  0.00]\t -- t: 031910 dis: 0.628 sclr: 0.0178 des_dis: 0.2180 \n",
      "Ep 1116\tMaxAvg100: 0.10\tMax: 0.10 [ 0.10, -0.01]\t -- t: 031940 dis: 0.820 sclr: 0.0189 des_dis: 0.2180 \n",
      "Ep 1117\tMaxAvg100: 0.10\tMax: 0.10 [ 0.09,  0.10]\t -- t: 031992 dis: 0.359 sclr: 0.0240 des_dis: 0.2179 \n",
      "Ep 1118\tMaxAvg100: 0.10\tMax: 0.10 [ 0.09,  0.10]\t -- t: 032043 dis: 0.451 sclr: 0.0220 des_dis: 0.2178 \n",
      "Ep 1119\tMaxAvg100: 0.10\tMax: 0.30 [ 0.30,  0.19]\t -- t: 032152 dis: 0.879 sclr: 0.0277 des_dis: 0.2175 \n",
      "Ep 1120\tMaxAvg100: 0.10\tMax: 0.00 [ 0.00, -0.01]\t -- t: 032165 dis: 0.770 sclr: 0.0274 des_dis: 0.2175 [S]\n",
      "Ep 1121\tMaxAvg100: 0.10\tMax: 0.00 [ 0.00, -0.01]\t -- t: 032180 dis: 1.169 sclr: 0.0260 des_dis: 0.2175 \n",
      "Ep 1122\tMaxAvg100: 0.10\tMax: 0.10 [-0.01,  0.10]\t -- t: 032213 dis: 0.627 sclr: 0.0263 des_dis: 0.2174 \n",
      "Ep 1123\tMaxAvg100: 0.10\tMax: 0.20 [ 0.09,  0.20]\t -- t: 032281 dis: 0.946 sclr: 0.0233 des_dis: 0.2172 \n",
      "Ep 1124\tMaxAvg100: 0.10\tMax: 0.00 [ 0.00, -0.01]\t -- t: 032296 dis: 0.647 sclr: 0.0231 des_dis: 0.2172 [S]\n",
      "Ep 1125\tMaxAvg100: 0.10\tMax: 0.20 [ 0.09,  0.20]\t -- t: 032365 dis: 0.458 sclr: 0.0233 des_dis: 0.2171 [S]\n",
      "Ep 1126\tMaxAvg100: 0.10\tMax: 0.30 [ 0.30,  0.19]\t -- t: 032474 dis: 1.156 sclr: 0.0205 des_dis: 0.2168 [S]\n",
      "Ep 1127\tMaxAvg100: 0.10\tMax: 0.10 [-0.01,  0.10]\t -- t: 032506 dis: 0.770 sclr: 0.0209 des_dis: 0.2167 [S]\n",
      "Ep 1128\tMaxAvg100: 0.10\tMax: 0.00 [ 0.00, -0.01]\t -- t: 032519 dis: 1.150 sclr: 0.0203 des_dis: 0.2167 [S]\n",
      "Ep 1129\tMaxAvg100: 0.10\tMax: 0.10 [-0.01,  0.10]\t -- t: 032571 dis: 0.844 sclr: 0.0215 des_dis: 0.2166 \n",
      "Ep 1130\tMaxAvg100: 0.10\tMax: 0.20 [ 0.20,  0.19]\t -- t: 032662 dis: 0.393 sclr: 0.0240 des_dis: 0.2164 \n",
      "Ep 1131\tMaxAvg100: 0.10\tMax: 0.00 [ 0.00, -0.01]\t -- t: 032675 dis: 0.986 sclr: 0.0224 des_dis: 0.2164 \n",
      "Ep 1132\tMaxAvg100: 0.10\tMax: 0.29 [ 0.20,  0.29]\t -- t: 032784 dis: 0.549 sclr: 0.0213 des_dis: 0.2161 \n",
      "Ep 1133\tMaxAvg100: 0.10\tMax: 0.19 [ 0.10,  0.19]\t -- t: 032853 dis: 0.770 sclr: 0.0203 des_dis: 0.2160 \n",
      "Ep 1134\tMaxAvg100: 0.10\tMax: 0.00 [-0.01,  0.00]\t -- t: 032867 dis: 0.842 sclr: 0.0191 des_dis: 0.2160 [S]\n",
      "Ep 1135\tMaxAvg100: 0.10\tMax: 0.00 [ 0.00, -0.01]\t -- t: 032881 dis: 0.642 sclr: 0.0180 des_dis: 0.2159 \n",
      "Ep 1136\tMaxAvg100: 0.10\tMax: 0.30 [ 0.30,  0.29]\t -- t: 033008 dis: 0.743 sclr: 0.0181 des_dis: 0.2157 \n",
      "Ep 1137\tMaxAvg100: 0.10\tMax: 0.19 [ 0.10,  0.19]\t -- t: 033079 dis: 0.206 sclr: 0.0187 des_dis: 0.2155 \n",
      "Ep 1138\tMaxAvg100: 0.10\tMax: 0.10 [ 0.10,  0.09]\t -- t: 033130 dis: 1.109 sclr: 0.0189 des_dis: 0.2154 \n",
      "Ep 1139\tMaxAvg100: 0.10\tMax: 0.00 [-0.01,  0.00]\t -- t: 033144 dis: 0.673 sclr: 0.0189 des_dis: 0.2154 \n",
      "Ep 1140\tMaxAvg100: 0.10\tMax: 0.00 [ 0.00, -0.01]\t -- t: 033159 dis: 0.751 sclr: 0.0191 des_dis: 0.2153 \n",
      "Ep 1141\tMaxAvg100: 0.10\tMax: 0.10 [ 0.09,  0.10]\t -- t: 033211 dis: 0.707 sclr: 0.0180 des_dis: 0.2152 \n",
      "Ep 1142\tMaxAvg100: 0.10\tMax: 0.20 [ 0.09,  0.20]\t -- t: 033283 dis: 0.302 sclr: 0.0199 des_dis: 0.2151 \n",
      "Ep 1143\tMaxAvg100: 0.10\tMax: 0.10 [ 0.10, -0.01]\t -- t: 033314 dis: 0.293 sclr: 0.0197 des_dis: 0.2150 \n",
      "Ep 1144\tMaxAvg100: 0.10\tMax: 0.00 [-0.01,  0.00]\t -- t: 033328 dis: 0.773 sclr: 0.0193 des_dis: 0.2150 \n",
      "Ep 1145\tMaxAvg100: 0.10\tMax: 0.10 [ 0.10,  0.09]\t -- t: 033378 dis: 0.913 sclr: 0.0178 des_dis: 0.2149 \n",
      "Ep 1146\tMaxAvg100: 0.10\tMax: 0.00 [ 0.00, -0.01]\t -- t: 033391 dis: 0.735 sclr: 0.0172 des_dis: 0.2148 \n",
      "Ep 1147\tMaxAvg100: 0.10\tMax: 0.00 [ 0.00, -0.01]\t -- t: 033405 dis: 0.664 sclr: 0.0169 des_dis: 0.2148 \n",
      "Ep 1148\tMaxAvg100: 0.10\tMax: 0.10 [ 0.10, -0.01]\t -- t: 033436 dis: 1.014 sclr: 0.0171 des_dis: 0.2147 \n",
      "Ep 1149\tMaxAvg100: 0.10\tMax: 0.00 [ 0.00, -0.01]\t -- t: 033450 dis: 0.376 sclr: 0.0174 des_dis: 0.2147 \n",
      "Ep 1150\tMaxAvg100: 0.10\tMax: 0.00 [-0.01,  0.00]\t -- t: 033464 dis: 0.541 sclr: 0.0174 des_dis: 0.2147 \n",
      "Ep 1151\tMaxAvg100: 0.10\tMax: 0.00 [-0.01,  0.00]\t -- t: 033478 dis: 0.759 sclr: 0.0174 des_dis: 0.2146 \n",
      "Ep 1152\tMaxAvg100: 0.10\tMax: 0.10 [ 0.10, -0.01]\t -- t: 033510 dis: 0.655 sclr: 0.0185 des_dis: 0.2146 \n",
      "Ep 1153\tMaxAvg100: 0.10\tMax: 0.20 [ 0.19,  0.20]\t -- t: 033612 dis: 0.734 sclr: 0.0185 des_dis: 0.2144 \n",
      "Ep 1154\tMaxAvg100: 0.10\tMax: 0.20 [ 0.20,  0.19]\t -- t: 033702 dis: 0.754 sclr: 0.0197 des_dis: 0.2142 \n",
      "Ep 1155\tMaxAvg100: 0.10\tMax: 0.20 [ 0.20,  0.09]\t -- t: 033777 dis: 0.372 sclr: 0.0203 des_dis: 0.2140 \n",
      "Ep 1156\tMaxAvg100: 0.10\tMax: 0.00 [ 0.00, -0.01]\t -- t: 033791 dis: 0.442 sclr: 0.0207 des_dis: 0.2140 \n",
      "Ep 1157\tMaxAvg100: 0.10\tMax: 0.00 [-0.01,  0.00]\t -- t: 033805 dis: 0.481 sclr: 0.0215 des_dis: 0.2139 \n",
      "Ep 1158\tMaxAvg100: 0.10\tMax: 0.10 [-0.01,  0.10]\t -- t: 033835 dis: 0.579 sclr: 0.0229 des_dis: 0.2139 \n",
      "Ep 1159\tMaxAvg100: 0.10\tMax: 0.10 [-0.01,  0.10]\t -- t: 033866 dis: 0.500 sclr: 0.0240 des_dis: 0.2138 \n",
      "Ep 1160\tMaxAvg100: 0.10\tMax: 0.00 [-0.01,  0.00]\t -- t: 033880 dis: 0.815 sclr: 0.0236 des_dis: 0.2138 \n",
      "Ep 1161\tMaxAvg100: 0.10\tMax: 0.00 [ 0.00, -0.01]\t -- t: 033893 dis: 0.928 sclr: 0.0229 des_dis: 0.2138 \n",
      "Ep 1162\tMaxAvg100: 0.10\tMax: 0.10 [-0.01,  0.10]\t -- t: 033923 dis: 0.693 sclr: 0.0224 des_dis: 0.2137 \n",
      "Ep 1163\tMaxAvg100: 0.10\tMax: 0.10 [ 0.10,  0.09]\t -- t: 033993 dis: 1.398 sclr: 0.0229 des_dis: 0.2135 \n",
      "Ep 1164\tMaxAvg100: 0.10\tMax: 0.00 [ 0.00, -0.01]\t -- t: 034007 dis: 0.544 sclr: 0.0233 des_dis: 0.2135 \n",
      "Ep 1165\tMaxAvg100: 0.10\tMax: 0.10 [ 0.10,  0.09]\t -- t: 034058 dis: 1.123 sclr: 0.0231 des_dis: 0.2134 \n",
      "Ep 1166\tMaxAvg100: 0.10\tMax: 0.00 [ 0.00, -0.01]\t -- t: 034072 dis: 0.685 sclr: 0.0231 des_dis: 0.2134 \n",
      "Ep 1167\tMaxAvg100: 0.10\tMax: 0.49 [ 0.40,  0.49]\t -- t: 034257 dis: 0.542 sclr: 0.0224 des_dis: 0.2130 \n",
      "Ep 1168\tMaxAvg100: 0.10\tMax: 0.20 [ 0.09,  0.20]\t -- t: 034326 dis: 0.816 sclr: 0.0236 des_dis: 0.2128 \n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Ep 1169\tMaxAvg100: 0.10\tMax: 0.10 [ 0.09,  0.10]\t -- t: 034377 dis: 0.663 sclr: 0.0243 des_dis: 0.2127 \n",
      "Ep 1170\tMaxAvg100: 0.10\tMax: 0.10 [ 0.10,  0.09]\t -- t: 034428 dis: 0.727 sclr: 0.0240 des_dis: 0.2126 \n",
      "Ep 1171\tMaxAvg100: 0.10\tMax: 0.10 [-0.01,  0.10]\t -- t: 034461 dis: 0.794 sclr: 0.0224 des_dis: 0.2125 \n",
      "Ep 1172\tMaxAvg100: 0.10\tMax: 0.10 [ 0.10,  0.09]\t -- t: 034512 dis: 0.670 sclr: 0.0240 des_dis: 0.2124 \n",
      "Ep 1173\tMaxAvg100: 0.10\tMax: 0.00 [-0.01,  0.00]\t -- t: 034529 dis: 0.978 sclr: 0.0229 des_dis: 0.2124 \n",
      "Ep 1174\tMaxAvg100: 0.10\tMax: 0.10 [ 0.10,  0.09]\t -- t: 034580 dis: 0.735 sclr: 0.0222 des_dis: 0.2123 \n",
      "Ep 1175\tMaxAvg100: 0.10\tMax: 0.40 [ 0.40,  0.39]\t -- t: 034746 dis: 0.888 sclr: 0.0226 des_dis: 0.2119 \n",
      "Ep 1176\tMaxAvg100: 0.10\tMax: 0.00 [ 0.00, -0.01]\t -- t: 034760 dis: 0.811 sclr: 0.0217 des_dis: 0.2119 \n",
      "Ep 1177\tMaxAvg100: 0.10\tMax: 0.00 [ 0.00, -0.01]\t -- t: 034774 dis: 0.751 sclr: 0.0217 des_dis: 0.2119 \n",
      "Ep 1178\tMaxAvg100: 0.10\tMax: 0.00 [ 0.00, -0.01]\t -- t: 034788 dis: 0.659 sclr: 0.0217 des_dis: 0.2119 \n",
      "Ep 1179\tMaxAvg100: 0.10\tMax: 0.00 [-0.01,  0.00]\t -- t: 034802 dis: 0.919 sclr: 0.0201 des_dis: 0.2118 \n",
      "Ep 1180\tMaxAvg100: 0.10\tMax: 0.00 [ 0.00, -0.01]\t -- t: 034816 dis: 0.568 sclr: 0.0205 des_dis: 0.2118 \n",
      "Ep 1181\tMaxAvg100: 0.10\tMax: 0.00 [ 0.00, -0.01]\t -- t: 034830 dis: 0.576 sclr: 0.0205 des_dis: 0.2118 \n",
      "Ep 1182\tMaxAvg100: 0.10\tMax: 0.20 [ 0.20,  0.19]\t -- t: 034921 dis: 0.915 sclr: 0.0203 des_dis: 0.2116 \n",
      "Ep 1183\tMaxAvg100: 0.10\tMax: 0.00 [ 0.00, -0.01]\t -- t: 034934 dis: 0.428 sclr: 0.0209 des_dis: 0.2115 \n",
      "Ep 1184\tMaxAvg100: 0.10\tMax: 0.10 [ 0.10, -0.01]\t -- t: 034964 dis: 1.148 sclr: 0.0193 des_dis: 0.2115 \n",
      "Ep 1185\tMaxAvg100: 0.10\tMax: 0.20 [ 0.20,  0.19]\t -- t: 035054 dis: 0.592 sclr: 0.0205 des_dis: 0.2113 \n",
      "Ep 1186\tMaxAvg100: 0.10\tMax: 0.10 [ 0.10,  0.09]\t -- t: 035105 dis: 1.015 sclr: 0.0207 des_dis: 0.2112 \n",
      "Ep 1187\tMaxAvg100: 0.10\tMax: 0.30 [ 0.30,  0.19]\t -- t: 035215 dis: 0.825 sclr: 0.0199 des_dis: 0.2110 \n",
      "Ep 1188\tMaxAvg100: 0.10\tMax: 0.10 [-0.01,  0.10]\t -- t: 035247 dis: 0.499 sclr: 0.0203 des_dis: 0.2109 [S]\n",
      "Ep 1189\tMaxAvg100: 0.10\tMax: 0.10 [ 0.10,  0.09]\t -- t: 035299 dis: 0.811 sclr: 0.0220 des_dis: 0.2108 \n",
      "Ep 1190\tMaxAvg100: 0.10\tMax: 0.20 [ 0.20,  0.09]\t -- t: 035368 dis: 0.807 sclr: 0.0209 des_dis: 0.2106 \n",
      "Ep 1191\tMaxAvg100: 0.10\tMax: 0.00 [-0.01,  0.00]\t -- t: 035382 dis: 0.634 sclr: 0.0201 des_dis: 0.2106 \n",
      "Ep 1192\tMaxAvg100: 0.10\tMax: 0.10 [ 0.10,  0.09]\t -- t: 035433 dis: 0.992 sclr: 0.0199 des_dis: 0.2105 \n",
      "Ep 1193\tMaxAvg100: 0.10\tMax: 0.10 [ 0.10, -0.01]\t -- t: 035464 dis: 1.208 sclr: 0.0197 des_dis: 0.2104 \n",
      "Ep 1194\tMaxAvg100: 0.10\tMax: 0.00 [-0.01,  0.00]\t -- t: 035479 dis: 0.751 sclr: 0.0199 des_dis: 0.2104 \n",
      "Ep 1195\tMaxAvg100: 0.10\tMax: 0.10 [ 0.10, -0.01]\t -- t: 035509 dis: 0.404 sclr: 0.0215 des_dis: 0.2103 \n",
      "Ep 1196\tMaxAvg100: 0.10\tMax: 0.00 [-0.01,  0.00]\t -- t: 035523 dis: 0.768 sclr: 0.0203 des_dis: 0.2103 \n",
      "Ep 1197\tMaxAvg100: 0.10\tMax: 0.10 [ 0.09,  0.10]\t -- t: 035574 dis: 0.394 sclr: 0.0205 des_dis: 0.2102 \n",
      "Ep 1198\tMaxAvg100: 0.10\tMax: 0.10 [ 0.10,  0.09]\t -- t: 035626 dis: 1.012 sclr: 0.0226 des_dis: 0.2101 \n",
      "Ep 1199\tMaxAvg100: 0.10\tMax: 0.00 [-0.01,  0.00]\t -- t: 035639 dis: 0.959 sclr: 0.0229 des_dis: 0.2101 \n",
      "Ep 1200\tMaxAvg100: 0.10\tMax: 0.00 [ 0.00, -0.01]\t -- t: 035653 dis: 0.706 sclr: 0.0229 des_dis: 0.2100 \n",
      "Ep 1201\tMaxAvg100: 0.10\tMax: 0.00 [ 0.00, -0.01]\t -- t: 035666 dis: 0.429 sclr: 0.0240 des_dis: 0.2100 \n",
      "Ep 1202\tMaxAvg100: 0.10\tMax: 0.00 [-0.01,  0.00]\t -- t: 035681 dis: 0.628 sclr: 0.0238 des_dis: 0.2100 \n",
      "Ep 1203\tMaxAvg100: 0.10\tMax: 0.10 [ 0.09,  0.10]\t -- t: 035733 dis: 0.890 sclr: 0.0224 des_dis: 0.2099 \n",
      "Ep 1204\tMaxAvg100: 0.10\tMax: 0.30 [ 0.30,  0.29]\t -- t: 035868 dis: 0.663 sclr: 0.0222 des_dis: 0.2096 \n",
      "Ep 1205\tMaxAvg100: 0.10\tMax: 0.20 [ 0.20,  0.19]\t -- t: 035958 dis: 0.812 sclr: 0.0222 des_dis: 0.2094 \n",
      "Ep 1206\tMaxAvg100: 0.10\tMax: 0.10 [ 0.10,  0.09]\t -- t: 036010 dis: 0.765 sclr: 0.0222 des_dis: 0.2093 \n",
      "Ep 1207\tMaxAvg100: 0.10\tMax: 0.30 [ 0.29,  0.30]\t -- t: 036138 dis: 0.647 sclr: 0.0201 des_dis: 0.2090 \n",
      "Ep 1208\tMaxAvg100: 0.10\tMax: 0.10 [ 0.10,  0.09]\t -- t: 036190 dis: 0.898 sclr: 0.0205 des_dis: 0.2089 \n",
      "Ep 1209\tMaxAvg100: 0.10\tMax: 0.10 [ 0.09,  0.10]\t -- t: 036243 dis: 0.921 sclr: 0.0195 des_dis: 0.2088 \n",
      "Ep 1210\tMaxAvg100: 0.10\tMax: 0.00 [-0.01,  0.00]\t -- t: 036257 dis: 0.831 sclr: 0.0191 des_dis: 0.2088 \n",
      "Ep 1211\tMaxAvg100: 0.10\tMax: 0.00 [-0.01,  0.00]\t -- t: 036271 dis: 0.783 sclr: 0.0191 des_dis: 0.2087 \n",
      "Ep 1212\tMaxAvg100: 0.10\tMax: 0.10 [-0.01,  0.10]\t -- t: 036322 dis: 0.972 sclr: 0.0174 des_dis: 0.2086 \n",
      "Ep 1213\tMaxAvg100: 0.10\tMax: 0.00 [ 0.00, -0.01]\t -- t: 036336 dis: 0.767 sclr: 0.0171 des_dis: 0.2086 \n",
      "Ep 1214\tMaxAvg100: 0.10\tMax: 0.30 [ 0.29,  0.30]\t -- t: 036464 dis: 0.447 sclr: 0.0145 des_dis: 0.2083 \n",
      "Ep 1215\tMaxAvg100: 0.10\tMax: 0.30 [ 0.30,  0.19]\t -- t: 036573 dis: 0.701 sclr: 0.0144 des_dis: 0.2081 \n",
      "Ep 1216\tMaxAvg100: 0.10\tMax: 0.00 [-0.01,  0.00]\t -- t: 036587 dis: 0.620 sclr: 0.0144 des_dis: 0.2081 \n",
      "Ep 1217\tMaxAvg100: 0.10\tMax: 0.20 [ 0.19,  0.20]\t -- t: 036677 dis: 0.463 sclr: 0.0169 des_dis: 0.2079 \n",
      "Ep 1218\tMaxAvg100: 0.10\tMax: 0.10 [ 0.10,  0.09]\t -- t: 036729 dis: 0.567 sclr: 0.0180 des_dis: 0.2078 \n",
      "Ep 1219\tMaxAvg100: 0.10\tMax: 0.10 [ 0.10, -0.01]\t -- t: 036759 dis: 0.616 sclr: 0.0183 des_dis: 0.2077 \n",
      "Ep 1220\tMaxAvg100: 0.10\tMax: 0.10 [ 0.10,  0.09]\t -- t: 036811 dis: 0.835 sclr: 0.0187 des_dis: 0.2076 \n",
      "Ep 1221\tMaxAvg100: 0.10\tMax: 0.10 [ 0.09,  0.10]\t -- t: 036862 dis: 0.445 sclr: 0.0201 des_dis: 0.2075 \n",
      "Ep 1222\tMaxAvg100: 0.10\tMax: 0.20 [ 0.20,  0.09]\t -- t: 036933 dis: 0.765 sclr: 0.0207 des_dis: 0.2074 \n",
      "Ep 1223\tMaxAvg100: 0.10\tMax: 0.20 [ 0.20,  0.09]\t -- t: 037005 dis: 0.746 sclr: 0.0220 des_dis: 0.2072 \n",
      "Ep 1224\tMaxAvg100: 0.10\tMax: 0.00 [ 0.00, -0.01]\t -- t: 037019 dis: 0.613 sclr: 0.0224 des_dis: 0.2072 \n",
      "Ep 1225\tMaxAvg100: 0.10\tMax: 0.00 [-0.01,  0.00]\t -- t: 037032 dis: 0.864 sclr: 0.0217 des_dis: 0.2072 \n",
      "Ep 1226\tMaxAvg100: 0.10\tMax: 0.09 [ 0.00,  0.09]\t -- t: 037062 dis: 0.290 sclr: 0.0240 des_dis: 0.2071 \n",
      "Ep 1227\tMaxAvg100: 0.10\tMax: 0.10 [ 0.10, -0.01]\t -- t: 037092 dis: 0.978 sclr: 0.0231 des_dis: 0.2070 \n",
      "Ep 1228\tMaxAvg100: 0.10\tMax: 0.00 [ 0.00, -0.01]\t -- t: 037107 dis: 0.567 sclr: 0.0229 des_dis: 0.2070 \n",
      "Ep 1229\tMaxAvg100: 0.10\tMax: 0.20 [ 0.20,  0.09]\t -- t: 037175 dis: 1.009 sclr: 0.0203 des_dis: 0.2069 \n",
      "Ep 1230\tMaxAvg100: 0.10\tMax: 0.20 [ 0.09,  0.20]\t -- t: 037244 dis: 0.908 sclr: 0.0209 des_dis: 0.2067 \n",
      "Ep 1231\tMaxAvg100: 0.10\tMax: 0.10 [ 0.10, -0.01]\t -- t: 037274 dis: 1.161 sclr: 0.0205 des_dis: 0.2067 \n",
      "Ep 1232\tMaxAvg100: 0.10\tMax: 0.30 [ 0.19,  0.30]\t -- t: 037383 dis: 0.852 sclr: 0.0199 des_dis: 0.2064 \n",
      "Ep 1233\tMaxAvg100: 0.10\tMax: 0.10 [ 0.09,  0.10]\t -- t: 037434 dis: 0.378 sclr: 0.0213 des_dis: 0.2063 \n",
      "Ep 1234\tMaxAvg100: 0.10\tMax: 0.00 [ 0.00, -0.01]\t -- t: 037448 dis: 1.005 sclr: 0.0201 des_dis: 0.2063 \n",
      "Ep 1235\tMaxAvg100: 0.10\tMax: 0.00 [-0.01,  0.00]\t -- t: 037462 dis: 1.057 sclr: 0.0193 des_dis: 0.2063 \n",
      "Ep 1236\tMaxAvg100: 0.10\tMax: 0.10 [ 0.10, -0.01]\t -- t: 037492 dis: 0.453 sclr: 0.0193 des_dis: 0.2062 \n",
      "Ep 1237\tMaxAvg100: 0.10\tMax: 0.10 [ 0.09,  0.10]\t -- t: 037544 dis: 0.636 sclr: 0.0171 des_dis: 0.2061 \n",
      "Ep 1238\tMaxAvg100: 0.10\tMax: 0.10 [ 0.10,  0.09]\t -- t: 037596 dis: 0.958 sclr: 0.0171 des_dis: 0.2060 \n",
      "Ep 1239\tMaxAvg100: 0.10\tMax: 0.10 [ 0.10, -0.01]\t -- t: 037625 dis: 0.598 sclr: 0.0172 des_dis: 0.2059 \n",
      "Ep 1240\tMaxAvg100: 0.10\tMax: 0.10 [-0.01,  0.10]\t -- t: 037656 dis: 0.930 sclr: 0.0181 des_dis: 0.2059 \n",
      "Ep 1241\tMaxAvg100: 0.10\tMax: 0.00 [ 0.00, -0.01]\t -- t: 037669 dis: 0.305 sclr: 0.0195 des_dis: 0.2058 \n",
      "Ep 1242\tMaxAvg100: 0.10\tMax: 0.00 [-0.01,  0.00]\t -- t: 037684 dis: 1.024 sclr: 0.0193 des_dis: 0.2058 \n",
      "Ep 1243\tMaxAvg100: 0.10\tMax: 0.30 [ 0.19,  0.30]\t -- t: 037791 dis: 0.763 sclr: 0.0180 des_dis: 0.2056 \n",
      "Ep 1244\tMaxAvg100: 0.10\tMax: 0.00 [-0.01,  0.00]\t -- t: 037805 dis: 1.009 sclr: 0.0176 des_dis: 0.2056 \n",
      "Ep 1245\tMaxAvg100: 0.10\tMax: 0.20 [ 0.20,  0.09]\t -- t: 037876 dis: 0.867 sclr: 0.0167 des_dis: 0.2054 \n",
      "Ep 1246\tMaxAvg100: 0.10\tMax: 0.10 [ 0.10, -0.01]\t -- t: 037905 dis: 0.565 sclr: 0.0169 des_dis: 0.2054 \n",
      "Ep 1247\tMaxAvg100: 0.10\tMax: 0.00 [ 0.00, -0.01]\t -- t: 037919 dis: 0.414 sclr: 0.0176 des_dis: 0.2053 \n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Ep 1248\tMaxAvg100: 0.10\tMax: 0.20 [ 0.09,  0.20]\t -- t: 037985 dis: 0.234 sclr: 0.0203 des_dis: 0.2052 \n",
      "Ep 1249\tMaxAvg100: 0.10\tMax: 0.20 [ 0.20,  0.09]\t -- t: 038055 dis: 0.887 sclr: 0.0187 des_dis: 0.2050 \n",
      "Ep 1250\tMaxAvg100: 0.10\tMax: 0.10 [ 0.10, -0.01]\t -- t: 038085 dis: 1.121 sclr: 0.0166 des_dis: 0.2050 \n",
      "Ep 1251\tMaxAvg100: 0.10\tMax: 0.00 [ 0.00, -0.01]\t -- t: 038098 dis: 0.324 sclr: 0.0174 des_dis: 0.2050 \n",
      "Ep 1252\tMaxAvg100: 0.10\tMax: 0.10 [ 0.10, -0.01]\t -- t: 038134 dis: 0.826 sclr: 0.0161 des_dis: 0.2049 \n",
      "Ep 1253\tMaxAvg100: 0.10\tMax: 0.00 [-0.01,  0.00]\t -- t: 038148 dis: 0.549 sclr: 0.0164 des_dis: 0.2049 \n",
      "Ep 1254\tMaxAvg100: 0.10\tMax: 0.10 [ 0.10, -0.01]\t -- t: 038179 dis: 0.581 sclr: 0.0172 des_dis: 0.2048 \n",
      "Ep 1255\tMaxAvg100: 0.10\tMax: 0.20 [ 0.20,  0.09]\t -- t: 038250 dis: 0.660 sclr: 0.0145 des_dis: 0.2046 \n",
      "Ep 1256\tMaxAvg100: 0.10\tMax: 0.00 [ 0.00, -0.01]\t -- t: 038265 dis: 0.480 sclr: 0.0150 des_dis: 0.2046 \n",
      "Ep 1257\tMaxAvg100: 0.10\tMax: 0.00 [-0.01,  0.00]\t -- t: 038279 dis: 0.924 sclr: 0.0147 des_dis: 0.2046 \n",
      "Ep 1258\tMaxAvg100: 0.10\tMax: 0.30 [ 0.30,  0.19]\t -- t: 038388 dis: 1.011 sclr: 0.0148 des_dis: 0.2044 \n",
      "Ep 1259\tMaxAvg100: 0.10\tMax: 0.00 [ 0.00, -0.01]\t -- t: 038402 dis: 0.620 sclr: 0.0148 des_dis: 0.2043 \n",
      "Ep 1260\tMaxAvg100: 0.10\tMax: 0.30 [ 0.30,  0.19]\t -- t: 038510 dis: 0.530 sclr: 0.0161 des_dis: 0.2041 \n",
      "Ep 1261\tMaxAvg100: 0.10\tMax: 0.10 [ 0.10, -0.01]\t -- t: 038541 dis: 0.887 sclr: 0.0166 des_dis: 0.2041 \n",
      "Ep 1262\tMaxAvg100: 0.10\tMax: 0.00 [-0.01,  0.00]\t -- t: 038555 dis: 0.731 sclr: 0.0166 des_dis: 0.2040 [S]\n",
      "Ep 1263\tMaxAvg100: 0.10\tMax: 0.10 [ 0.10, -0.01]\t -- t: 038586 dis: 0.739 sclr: 0.0164 des_dis: 0.2040 \n",
      "Ep 1264\tMaxAvg100: 0.10\tMax: 0.20 [ 0.20,  0.19]\t -- t: 038675 dis: 0.638 sclr: 0.0150 des_dis: 0.2038 \n",
      "Ep 1265\tMaxAvg100: 0.10\tMax: 0.00 [ 0.00, -0.01]\t -- t: 038690 dis: 0.510 sclr: 0.0154 des_dis: 0.2037 [S]\n",
      "Ep 1266\tMaxAvg100: 0.10\tMax: 0.20 [ 0.20,  0.09]\t -- t: 038760 dis: 0.472 sclr: 0.0145 des_dis: 0.2036 \n",
      "Ep 1267\tMaxAvg100: 0.10\tMax: 0.20 [ 0.09,  0.20]\t -- t: 038831 dis: 0.409 sclr: 0.0172 des_dis: 0.2035 [S]\n",
      "Ep 1268\tMaxAvg100: 0.10\tMax: 0.00 [ 0.00, -0.01]\t -- t: 038845 dis: 0.587 sclr: 0.0176 des_dis: 0.2034 \n",
      "Ep 1269\tMaxAvg100: 0.10\tMax: 0.10 [ 0.10,  0.09]\t -- t: 038896 dis: 0.373 sclr: 0.0197 des_dis: 0.2033 \n",
      "Ep 1270\tMaxAvg100: 0.10\tMax: 0.10 [-0.01,  0.10]\t -- t: 038929 dis: 0.887 sclr: 0.0199 des_dis: 0.2033 \n",
      "Ep 1271\tMaxAvg100: 0.10\tMax: 0.00 [ 0.00, -0.01]\t -- t: 038943 dis: 0.621 sclr: 0.0203 des_dis: 0.2032 \n",
      "Ep 1272\tMaxAvg100: 0.10\tMax: 0.20 [ 0.20,  0.19]\t -- t: 039034 dis: 0.914 sclr: 0.0201 des_dis: 0.2030 \n",
      "Ep 1273\tMaxAvg100: 0.10\tMax: 0.00 [-0.01,  0.00]\t -- t: 039047 dis: 0.727 sclr: 0.0199 des_dis: 0.2030 \n",
      "Ep 1274\tMaxAvg100: 0.10\tMax: 0.10 [ 0.10, -0.01]\t -- t: 039077 dis: 0.996 sclr: 0.0183 des_dis: 0.2030 \n",
      "Ep 1275\tMaxAvg100: 0.10\tMax: 0.00 [ 0.00, -0.01]\t -- t: 039092 dis: 0.592 sclr: 0.0181 des_dis: 0.2029 \n",
      "Ep 1276\tMaxAvg100: 0.10\tMax: 0.00 [-0.01,  0.00]\t -- t: 039105 dis: 0.721 sclr: 0.0180 des_dis: 0.2029 \n",
      "Ep 1277\tMaxAvg100: 0.10\tMax: 0.10 [ 0.10, -0.01]\t -- t: 039137 dis: 0.274 sclr: 0.0183 des_dis: 0.2028 \n",
      "Ep 1278\tMaxAvg100: 0.10\tMax: 0.00 [ 0.00, -0.01]\t -- t: 039151 dis: 0.648 sclr: 0.0187 des_dis: 0.2028 \n",
      "Ep 1279\tMaxAvg100: 0.10\tMax: 0.10 [ 0.10,  0.09]\t -- t: 039203 dis: 0.965 sclr: 0.0191 des_dis: 0.2027 \n",
      "Ep 1280\tMaxAvg100: 0.10\tMax: 0.00 [-0.01,  0.00]\t -- t: 039216 dis: 0.730 sclr: 0.0193 des_dis: 0.2027 \n",
      "Ep 1281\tMaxAvg100: 0.10\tMax: 0.10 [-0.01,  0.10]\t -- t: 039247 dis: 1.042 sclr: 0.0191 des_dis: 0.2026 \n",
      "Ep 1282\tMaxAvg100: 0.10\tMax: 0.00 [-0.01,  0.00]\t -- t: 039260 dis: 0.519 sclr: 0.0193 des_dis: 0.2026 \n",
      "Ep 1283\tMaxAvg100: 0.10\tMax: 0.30 [ 0.29,  0.30]\t -- t: 039388 dis: 0.673 sclr: 0.0201 des_dis: 0.2023 \n",
      "Ep 1284\tMaxAvg100: 0.10\tMax: 0.30 [ 0.30,  0.19]\t -- t: 039494 dis: 0.498 sclr: 0.0209 des_dis: 0.2021 \n",
      "Ep 1285\tMaxAvg100: 0.10\tMax: 0.00 [-0.01,  0.00]\t -- t: 039508 dis: 0.987 sclr: 0.0201 des_dis: 0.2021 \n",
      "Ep 1286\tMaxAvg100: 0.10\tMax: 0.00 [ 0.00, -0.01]\t -- t: 039523 dis: 0.749 sclr: 0.0207 des_dis: 0.2021 \n",
      "Ep 1287\tMaxAvg100: 0.10\tMax: 0.10 [ 0.10, -0.01]\t -- t: 039554 dis: 0.944 sclr: 0.0205 des_dis: 0.2020 \n",
      "Ep 1288\tMaxAvg100: 0.10\tMax: 0.00 [ 0.00, -0.01]\t -- t: 039568 dis: 0.897 sclr: 0.0197 des_dis: 0.2020 \n",
      "Ep 1289\tMaxAvg100: 0.10\tMax: 0.10 [ 0.09,  0.10]\t -- t: 039620 dis: 0.879 sclr: 0.0193 des_dis: 0.2019 \n",
      "Ep 1290\tMaxAvg100: 0.10\tMax: 0.10 [ 0.09,  0.10]\t -- t: 039672 dis: 0.428 sclr: 0.0217 des_dis: 0.2018 \n",
      "Ep 1291\tMaxAvg100: 0.10\tMax: 0.10 [ 0.10, -0.01]\t -- t: 039704 dis: 0.928 sclr: 0.0205 des_dis: 0.2017 \n",
      "Ep 1292\tMaxAvg100: 0.10\tMax: 0.10 [ 0.10,  0.09]\t -- t: 039755 dis: 0.584 sclr: 0.0199 des_dis: 0.2016 \n",
      "Ep 1293\tMaxAvg100: 0.10\tMax: 0.00 [ 0.00, -0.01]\t -- t: 039769 dis: 0.813 sclr: 0.0203 des_dis: 0.2016 \n",
      "Ep 1294\tMaxAvg100: 0.10\tMax: 0.20 [ 0.20,  0.09]\t -- t: 039845 dis: 1.011 sclr: 0.0195 des_dis: 0.2014 \n",
      "Ep 1295\tMaxAvg100: 0.10\tMax: 0.10 [ 0.09,  0.10]\t -- t: 039897 dis: 0.371 sclr: 0.0207 des_dis: 0.2013 \n",
      "Ep 1296\tMaxAvg100: 0.10\tMax: 0.00 [-0.01,  0.00]\t -- t: 039911 dis: 1.174 sclr: 0.0195 des_dis: 0.2013 \n",
      "Ep 1297\tMaxAvg100: 0.10\tMax: 0.10 [-0.01,  0.10]\t -- t: 039947 dis: 0.768 sclr: 0.0203 des_dis: 0.2012 \n",
      "Ep 1298\tMaxAvg100: 0.10\tMax: 0.40 [ 0.29,  0.40]\t -- t: 040095 dis: 0.726 sclr: 0.0207 des_dis: 0.2009 \n",
      "Ep 1299\tMaxAvg100: 0.10\tMax: 0.00 [-0.01,  0.00]\t -- t: 040109 dis: 0.755 sclr: 0.0195 des_dis: 0.2009 \n",
      "Ep 1300\tMaxAvg100: 0.10\tMax: 0.00 [-0.01,  0.00]\t -- t: 040122 dis: 0.643 sclr: 0.0193 des_dis: 0.2009 \n"
     ]
    }
   ],
   "source": [
    "multi_agent = MultiAgent(num_agents, state_size, action_size, noise_type=\"param\")\n",
    "scores_param = train(multi_agent, n_episodes=1300, max_t=10000)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "8765ce30",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x504 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_scores([scores_param], ['param'], save_as='param.png')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fb78aaf1",
   "metadata": {},
   "source": [
    "## Comparison"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "53682480-6fc0-426a-93e3-8d30d72a4fe8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x504 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "scores_normal_means = np.asarray(scores_normal).T[1]\n",
    "scores_ou_means = np.asarray(scores_ou).T[1]\n",
    "scores_param_means = np.asarray(scores_param).T[1]\n",
    "plot_scores([scores_ou_means, scores_normal_means, scores_param_means], ['ou', 'normal', 'param'], save_as='compare.png')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "2bd30823-945b-4437-b7ba-f2b333406c3f",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}