gym

PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.

A fork of OpenAI Baselines, implementations of reinforcement learning algorithms

High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)

Self hosted FLOSS fitness/workout, nutrition and weight tracker written with Django

MuZero

A standard API for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym)

Simple and easily configurable grid world environments for reinforcement learning

A standard API for multi-agent reinforcement learning environments, with popular reference environments and related utilities

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

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

Asynchronous Advantage Actor-Critic (A3C) algorithm for Super Mario Bros

Proximal Policy Optimization (PPO) algorithm for Super Mario Bros

Deepdrive is a simulator that allows anyone with a PC to push the state-of-the-art in self-driving

C++-based high-performance parallel environment execution engine (vectorized env) for general RL environments.

Source codes for the book "Reinforcement Learning: Theory and Python Implementation"

Open source guides/codes for mastering deep learning to deploying deep learning in production in PyTorch, Python, C++ and more.

High-quality single-file implementations of SOTA Offline RL algorithms: AWAC, BC, CQL, DT, EDAC, IQL, SAC-N, TD3+BC, LB-SAC

S-RL Toolbox: Reinforcement Learning (RL) and State Representation Learning (SRL) for Robotics

Simple A3C implementation with pytorch + multiprocessing

Keras Implementation of popular Deep RL Algorithms (A3C, DDQN, DDPG, Dueling DDQN)