gym

1,324-exercise fitness dataset — animation GIFs, 180×180 thumbnails, muscle-group & equipment data, and step-by-step instructions in 6 languages. The exercise data layer behind the LogPress app.

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

A standard API 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

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

MuZero

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

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)

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

[NeurIPS 2025 Spotlight] Reasoning Environments for Reinforcement Learning with Verifiable Rewards

Evaluate and improve models and agents using environments

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

Modular Reinforcement Learning (RL) library (implemented in PyTorch, JAX, and NVIDIA Warp) with support for Gymnasium/Gym, NVIDIA Isaac Lab, MuJoCo Playground and other environments

Reinforcement Learning environments for Traffic Signal Control with SUMO. Compatible with Gymnasium, PettingZoo, and popular RL libraries.

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

Flutter fitness/workout app for wger

PyBullet CartPole and Quadrotor environments—with CasADi symbolic a priori dynamics—for learning-based control and RL

Unified Reinforcement Learning Framework

[EMNLP 2026] MobileGym: A Verifiable and Highly Parallel Simulation Platform for Mobile GUI Agent Research · 浏览器里运行的安卓模拟器 · Browser-hosted Android Simulator · Verifiable Evaluation · Scalable Online RL Training

Contrib package for Stable-Baselines3 - Experimental reinforcement learning (RL) code

A collection of multi agent environments based on OpenAI gym.

VMAS is a vectorized differentiable simulator designed for efficient Multi-Agent Reinforcement Learning benchmarking. It is comprised of a vectorized 2D physics engine written in PyTorch and a set of challenging multi-robot scenarios. Additional scenarios can be implemented through a simple and modular interface.

A cross platform app for tracking your lifts in the gym

Multi-Objective Reinforcement Learning algorithms implementations.

A Gym for Agentic LLMs

Your workout logs visualized!