muzero-general and muzero-cpp
The C++ implementation, being smaller and having far fewer stars, is an ecosystem sibling that likely emerged from the original MuZero project, possibly as a performance-focused or a learning-focused re-implementation.
About muzero-general
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.
About muzero-cpp
tuero/muzero-cpp
A C++ pytorch implementation of MuZero
This project offers a fast C++ implementation of the MuZero algorithm for training AI models in environments like games. It takes in environment definitions and game rules, then outputs a trained AI agent capable of playing and mastering those games. This is designed for AI researchers and developers working on reinforcement learning applications who need high performance.
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