chess-alpha-zero
Chess reinforcement learning by AlphaGo Zero methods.
Train a chess-playing AI using advanced learning techniques to improve its gameplay.
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chess-alpha-zero has 2.2k stars on GitHub. It has been forked 472 times. chess-alpha-zero is written mainly in Jupyter Notebook. It has been in active development since 2017. chess-alpha-zero is available under the MIT license. Its main topics are alphago-zero, chess, keras, reinforcement-learning.
What is chess-alpha-zero?
Chess reinforcement learning by AlphaGo Zero methods.
Is chess-alpha-zero open source?
chess-alpha-zero is an open-source project. It is released under the MIT license.
Is chess-alpha-zero free?
Yes. chess-alpha-zero is free and open source — you can use, modify and self-host it.
What license does chess-alpha-zero use?
chess-alpha-zero is available under the MIT license.
What language is chess-alpha-zero written in?
chess-alpha-zero is written mainly in Jupyter Notebook.
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