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Chess AI Evolution: From Alpha-Beta to Monte-Carlo Tree Search

Chess players are all about planning.
It used to be Alpha-Beta tree search with a fixed, handcrafted evaluation function.
Nowadays, it's Monte-Carlo Tree Search with a policy network to pick good candidate branches and a Value network that learns to evaluate nodes.
But planning

→ View original post on X — @ylecun,

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