Farama Foundation's MIT-licensed reinforcement learning toolkit — the standard interface for RL environments including Atari, MuJoCo, CartPole, and 100+ more.

DLR's MIT-licensed PyTorch implementations of PPO, SAC, TD3, DQN, A2C, and HER — battle-tested RL algorithms for game AI and simulation.

Apache-2.0 toolkit for training intelligent game agents using deep RL and imitation learning directly inside Unity game environments.

Farama Foundation's MIT-licensed multi-agent RL environment library — 50+ cooperative and competitive games for training and evaluating MARL algorithms.

DeepMind's Apache-2.0 framework for game theory and RL research: 70+ games (Chess, Go, Poker, Hex), CFR, MCTS, deep RL, and Nash equilibrium solvers.

Farama Foundation's Apache-2.0 fast gridworld RL environments for goal-conditioned, partially observable, and language-conditioned agent research.

OpenAI's MIT-licensed suite of 16 procedurally-generated 2D game environments for measuring generalization in reinforcement learning agents.

Farama Foundation's collection of robotics simulation RL environments: FetchReach, ShadowHand, Maze, AdroitHand.

Google DeepMind's suite of 50+ multi-agent social RL scenarios testing cooperation, competition, and generalization.