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Keras Implementation of Alpha Zero for Chess (github.com/zeta36)
78 points by atroyn on March 3, 2018 | hide | past | favorite | 4 comments



In the repo, they suggest that you instead go support another project. Namely, https://github.com/glinscott/leela-chess


Oh man, it's like BOINC. (In fact, perhaps one could incorporate it into BOINC.) I wonder if, after a while, the most powerful ML platforms in the world will be volunteer-run distributed systems. That would be an interesting situation.


If anybody is interested, you will find ~300 millions PGN to train your NN models on chess games here : https://database.lichess.org/


One interesting thing about the 'zero' approach is that it learns through self-play. So you can use a database to bootstrap the learning, but in principle you'd only need the game rules and enough training time.




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