Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.

An elegant PyTorch deep reinforcement learning library.

ELF: a platform for game research with AlphaGoZero/AlphaZero reimplementation

An implementation of the AlphaZero algorithm for Gomoku (also called Gobang or Five in a Row)

MuZero

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

A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.

A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.

[ICML 2017] TensorFlow code for Curiosity-driven Exploration for Deep Reinforcement Learning

A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.

Refer to https://github.com/AcutronicRobotics/gym-gazebo2 for the new version

Python library for Reinforcement Learning.

SEED RL: Scalable and Efficient Deep-RL with Accelerated Central Inference. Implements IMPALA and R2D2 algorithms in TF2 with SEED's architecture.

[NeurIPS'21 Outstanding Paper] Library for reliable evaluation on RL and ML benchmarks, even with only a handful of seeds.

Implementation of papers in 100 lines of code.

Hearthstone simulator using C++ with some reinforcement learning

A curated list of Monte Carlo tree search papers with implementations.

Stable-Baselines tutorial for Journées Nationales de la Recherche en Robotique 2019

A curated list of applied machine learning and data science notebooks and libraries across different industries.

Implementation of Inverse Reinforcement Learning (IRL) algorithms in Python/Tensorflow. Deep MaxEnt, MaxEnt, LPIRL