gym

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

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

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

🏋 Modern open-source fitness coaching platform. Create workout plans, track progress, and access a comprehensive exercise database.

Self hosted FLOSS fitness/workout, nutrition and weight tracker

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

MuZero

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

Simple and easily configurable grid world environments for reinforcement learning

PyBullet Gymnasium environments for single and multi-agent reinforcement learning of quadcopter control

[NeurIPS 2023 Spotlight] LightZero: A Unified Benchmark for Monte Carlo Tree Search in General Sequential Decision Scenarios (awesome MCTS)

High-quality single-file implementations of SOTA Offline and Offline-to-Online RL algorithms: AWAC, BC, CQL, DT, EDAC, IQL, SAC-N, TD3+BC, LB-SAC, SPOT, Cal-QL, ReBRAC

Proximal Policy Optimization (PPO) algorithm for Super Mario Bros

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

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

procedural reasoning datasets

Distributed GPU-Accelerated Framework for Evolutionary Computation. Comprehensive Library of Evolutionary Algorithms & Benchmark Problems.

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

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