A clean and easy implementation of MuZero, AlphaZero and Self-Play reinforcement learning algorithms for any game.
- https://github.com/datamllab/rlcard
- https://github.com/google-deepmind/open_spiel
- https://github.com/sotetsuk/pgx.git
- https://github.com/Unity-Technologies/ml-agents
- https://github.com/opendilab/LightZero
- https://github.com/datamllab/awesome-game-ai
- https://github.com/inspirai/TimeChamber
- https://github.com/njustesen/botbowl
- https://github.com/davidADSP/SIMPLE
https://github.com/masouduut94/MCTS-agent-python
- https://github.com/suragnair/alpha-zero-general
- https://github.com/geochri/AlphaZero_Chess
- https://github.com/junxiaosong/AlphaZero_Gomoku
- https://github.com/lowrollr/turbozero
- https://github.com/dylandjian/SuperGo
- https://github.com/werner-duvaud/muzero-general
- https://github.com/koulanurag/muzero-pytorch
- https://github.com/YeWR/EfficientZero.git