Implement AlphaZero/AlphaGo Zero methods on Chinese chess.
Develop a strong AI for Chinese chess using advanced learning techniques similar to those used in AlphaGo.
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ChineseChess-AlphaZero has 1.2k stars on GitHub. It has been forked 363 times. ChineseChess-AlphaZero is written mainly in Python. It has been in active development since 2018. ChineseChess-AlphaZero is available under the GPL-3.0 license. Its main topics are alphazero, chinese-chess, deep-learning, reinforcement-learning.
Implement AlphaZero/AlphaGo Zero methods on Chinese chess.
ChineseChess-AlphaZero is an open-source project. It is released under the GPL-3.0 license.
Yes. ChineseChess-AlphaZero is free and open source — you can use, modify and self-host it. Its GPL-3.0 license is copyleft: if you distribute a modified version, it must remain under the same license.
ChineseChess-AlphaZero is available under the GPL-3.0 license.
ChineseChess-AlphaZero is written mainly in Python.
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Measured from GitHub topics shared by both projects, weighted by how rare each topic is.