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An AlphaZero-Inspired Approach to Solving Search Problems. (arXiv:2207.00919v1 [cs.AI])
July 5, 2022, 1:10 a.m. | Evgeny Dantsin, Vladik Kreinovich, Alexander Wolpert
cs.LG updates on arXiv.org arxiv.org
AlphaZero and its extension MuZero are computer programs that use
machine-learning techniques to play at a superhuman level in chess, go, and a
few other games. They achieved this level of play solely with reinforcement
learning from self-play, without any domain knowledge except the game rules. It
is a natural idea to adapt the methods and techniques used in AlphaZero for
solving search problems such as the Boolean satisfiability problem (in its
search version). Given a search problem, how to …
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