Popular GitHub Repositories for Gym Environments

ComfyUI docker images for use in GPU cloud and local environments. Includes AI-Dock base for authentication and improved user experience.

The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement learning and imitation learning.

FinRL: Financial Reinforcement Learning. ?

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)

OpenSpiel is a collection of environments and algorithms for research in general reinforcement learning and search/planning in games.

Google DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.

Open source data anonymization and synthetic data platform for developers. Anonymize your production data and sync it across your environments so that developers can safely use it.

Reinforcement Learning / AI Bots in Card (Poker) Games - Blackjack, Leduc, Texas, DouDizhu, Mahjong, UNO.

Simplifying reinforcement learning for complex game environments

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

A minimalist environment for decision-making in autonomous driving

Few-shot image translation method working on unstructured environments. ECCV 2022

MuZero

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

A modular high-level library to train embodied AI agents across a variety of tasks and environments.

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

The most simple, flexible, and comprehensive OpenAI Gym trading environment (Approved by OpenAI Gym)

[NeurIPS 2024] OSWorld: Benchmarking Multimodal Agents for Open-Ended Tasks in Real Computer Environments