An attempt to detect and prevent DDoS attacks using reinforcement learning. The simulation was done using Mininet.

Reason8.ai PyTorch solution for NIPS RL 2017 challenge

Implementation of the DDPG algorithm for Optimal Finance Trading

Important Note fastrl version 2 is being developed at fastrl. Note the link in the readme

Implementation of DDPG+HER on gym robotics environment FetchReach-v1

Learning Continuous Control in Deep Reinforcement Learning

La combinación más inteligente de Deep Q-Learning, Políticas de Gradiente, Actor-Crítico y DDPG utilizando PyTorch

Multi-Agent training using Deep Deterministic Policy Gradient Networks, Solving the Tennis Environment

Tennis Game play using Multi Agent DDPG - Deep Reinforcement Learning

The DDPG algorithm incorporates Actor-Critic Deep Learning Agent for solving continuous action reinforcement learning problems.

Deep Reinforcement learning based tumour localisation

Learning to play tennis from scratch with AlphaGo Zero style self-play using DDPG

Learn how to apply reinforcement learning methods to applications that involve multiple, interacting agents. These techniques are used in a variety of applications, such as the coordination of autonomous vehicles.

Learning agents in oligopolies (Cournot / Stackelberg) Agent-based model

Repo for the Deep Reinforcement Learning Nanodegree program

DDPG algorithm applied for the double-jointed arm that can move to target locations.

Create and train a double-jointed arm agent that is able to maintain its hand in contact with a moving target

FinSearch Research Competition

Implementation of Policy Gradient Methods for Continuous and Discrete Action Spaces