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.
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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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.