ChainerRL is a deep reinforcement learning library built on top of Chainer.

Google DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.

OpenSpiel is a collection of environments and algorithms for research in general reinforcement learning and search/planning in games.

Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning

This repo contains the Hugging Face Deep Reinforcement Learning Course.

Flappy Bird hack using Reinforcement Learning

A course in reinforcement learning in the wild

Repo for the Deep Reinforcement Learning Nanodegree program

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

Minimal and Clean Reinforcement Learning Examples

PyTorch implementations of deep reinforcement learning algorithms and environments

Tensorforce: a TensorFlow library for applied reinforcement learning

Modularized Implementation of Deep RL Algorithms in PyTorch

PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....

DeepTraffic is a deep reinforcement learning competition, part of the MIT Deep Learning series.

TensorFlow implementation of Deep Reinforcement Learning papers

Code for Cicero, an AI agent that plays the game of Diplomacy with open-domain natural language negotiation.

I am investigating various RL approaches to the problem of spatial negotiation games. The aim is to demonstrate that agents can implicitly communicate intent through their movement in order to coor…

Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms

Awesome Game AI materials of Multi-Agent Reinforcement Learning

An elegant PyTorch deep reinforcement learning library.

PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT-Opt, PointNet..