muzero-general
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A commented and [documented](https://github.com/werner-duvaud/muzero-general/wiki/MuZero-Documentation) implementation of MuZero based on the Google DeepMind [paper](https://arxiv.org/abs/1911.08265) (Nov 2019) and the associated [pseudocode](https://arxiv.org/src/1911.08265v2/anc/pseudocode.py).
It is designed to be easily adaptable for every games or reinforcement learning environments (like [gym](https://github.com/openai/gym)).
You only need to add a [game file](https://github.com/werner-duvaud/muzero-general/tree/master/games) with the hyperparameters and the game class.
Please refer to the [documentation](https://github.com/werner-duvaud/muzero-general/wiki/MuZero-Documentation) and the [example](https://github.com/werner-duvaud/muzero-general/blob/master/games/cartpole.py).