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The original was posted on /r/machinelearning by /u/TommyX12 on 2024-12-21 01:41:38+00:00.
I noticed that whenever a search method is needed such that its quality scales with inference time compute, people always go for MCTS without ever thinking about other kind of search methods. Looking at the widely used version of MCTS (e.g. with UCB and so on), it’s clear that a lot of heuristic is hand-crafted. Is there any research on better search methods (perhaps one that is meta-learned)? I feel like there’s a lot of opportunities where the hand-crafted heuristic process can be improved.