The RL playground. Experiments with RL algorithms
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Updated
May 10, 2016 - Python
The RL playground. Experiments with RL algorithms
A foraging environment for OpenAI Gym
the solustion to https://openai.com/requests-for-research
🐒 Evolution-ary Reinforcement Learning
Deep reinforcement learning using a deep Q-network with a dueling architecture.
Deep reinforcement learning for environments with small state spaces.
reinforcement learning practice
I use Open AI's Gym and Google's Tensorflow to create a reinforcement learning AI that learns how to play Atari games.
Summer of Code, IITB 2017. This project involves developing smart agents that can play simple PC games. We use OpenAI as the base platform for benchmarking and testing.
Run OpenAI Gym on a Server
self implementation of DPPO, Distributed Proximal Policy Optimization, by using tensorflow
A game bot using OpenAI gym and Reinforcement Learinng
The OpenAI advantage actor critic (A2C) model
A Reinforcement Learning demo using the OpenAI's gym environment.
An experimentation framework for Reinforcement Learning using OpenAI Gym, Tensorflow, and Keras.
Deep reinforcement learning using an asynchronous advantage actor-critic (A3C) model.
Reinforcement learning in Julia. Solving OpenAI gym.
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