werner-duvaud/muzero-general
MuZero
This project offers a clear and documented re-implementation of the advanced MuZero AI algorithm, allowing you to train an AI to master games like Chess, Go, or Atari titles without explicit rules programming. You provide the game environment, and the AI learns to play and strategize, outputting a trained model capable of high-level play. It's designed for researchers, students, and enthusiasts interested in understanding and applying cutting-edge reinforcement learning.
2,784 stars. No commits in the last 6 months.
Use this if you want to experiment with or learn about state-of-the-art model-based reinforcement learning by applying the MuZero algorithm to various game environments.
Not ideal if you need an out-of-the-box solution for immediate competitive play or if your primary interest is in reinforcement learning for continuous control tasks in complex real-world robotics.
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2,784
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670
Language
Python
License
MIT
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Last pushed
Sep 03, 2024
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