Farama-Foundation/Gymnasium

A toolkit for developing and comparing reinforcement learning algorithms.

PyTorch version of Stable Baselines, reliable 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)

An elegant PyTorch deep reinforcement learning library.

A customisable 3D platform for agent-based AI research

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.

An educational resource to help anyone learn deep reinforcement learning.

This repository contains implementations and illustrative code to accompany DeepMind publications

Agent Reinforcement Trainer: train multi-step agents for real-world tasks using GRPO. Give your agents on-the-job training. Reinforcement learning for Qwen3.6, GPT-OSS, Llama, and more!