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

Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker

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)

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

[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

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

Hearthstone simulator using C++ with some reinforcement learning

MuZero

Python library for Reinforcement Learning.

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

Spriteworld: a flexible, configurable python-based reinforcement learning environment

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

DrQ: Data regularized Q

gym-gazebo2 is a toolkit for developing and comparing reinforcement learning algorithms using ROS 2 and Gazebo

AI Research Platform for Reinforcement Learning from Real Panoramic Images.

RAD: Reinforcement Learning with Augmented Data

Learning to Communicate with Deep Multi-Agent Reinforcement Learning in PyTorch

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

An environment to high-frequency trading agents under reinforcement learning

A universal flight control tuning framework

Implementation of reinforcement learning approach to make a car learn to drive smoothly in minutes

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

AI research environment for the Atari 2600 games 🤖.

PyTorch Reinforcement Learning Library for Researchers

Implementation of selected reinforcement learning algorithms in Tensorflow. A3C, DDPG, REINFORCE, DQN, etc.

⚡ ⚡ 𝘋𝘦𝘦𝘱 𝘙𝘓 𝘈𝘭𝘨𝘰𝘵𝘳𝘢𝘥𝘪𝘯𝘨 𝘸𝘪𝘵𝘩 𝘙𝘢𝘺 𝘈𝘗𝘐