pyTorch Implementation of Deep Deterministic Policy Gradient with Auxiliary Rewards

reinforcement learning experiment in HFO Partial Observable environment. This is an attempt to recreate or perform better if possible the results from the paper.

Tensorflow implementation of Deep Reinforcement Learning included DQN(2013, 2015, double, dueling) and DDPG

A generic, easy to use, and keras-compatible deep RL framework

Parallel implementation of DDPG

Deep Reinforcement Learning repository

Distributed Tensorflow Implementation of Asynchronous DDPG

TensorFlow Implementation of Deep Deterministic Policy Gradients for Continuous OpenAI Gym Environments

PyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.

Code for NIPS 2017 learning to run challenge

A generic, easy to use, and keras-compatible deep RL framework

deep reinforcement learning in pytorch

Minimal implementations of reinforcement learning algorithms by Tensorflow

Simple Reinforcement Learning Framework

Implementation of Deep Deterministic Policy Gradients (DDPG) to teach a Quadcopter How to Fly!

ddpg algorithm

a simple demo of pendulem control using DDPG algorithm

An experimentation framework for Reinforcement Learning using OpenAI Gym, Tensorflow, and Keras.

Deep reinforcement learning for anti-poaching patrol simulations