werner-duvaud/muzero-general

MuZero

51
/ 100
Established

Implements the DeepMind MuZero algorithm using PyTorch with residual and fully-connected networks, enabling model-based RL without environment dynamics knowledge. Supports distributed training across multiple GPUs and Ray clusters with asynchronous self-play, plus real-time TensorBoard monitoring. Designed for quick adaptation to new environments—board games, Atari, and OpenAI Gym—by simply defining game classes and hyperparameters.

2,784 stars. No commits in the last 6 months.

Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 10 / 25
Maturity 16 / 25
Community 25 / 25

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Stars

2,784

Forks

670

Language

Python

License

MIT

Category

game-playing-alphazero

Last pushed

Sep 03, 2024

Commits (30d)

0

GitHub
Game Playing AlphaZero · 41 frameworks

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