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Erschienen in:
2011 | OriginalPaper | Buchkapitel
Score Bounded Monte-Carlo Tree Search
verfasst von : Tristan Cazenave, Abdallah Saffidine
Erschienen in: Computers and Games
Verlag: Springer Berlin Heidelberg
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Monte-Carlo Tree Search (MCTS) is a successful algorithm used in many state of the art game engines. We propose to improve a MCTS solver when a game has more than two outcomes. It is for example the case in games that can end in draw positions. In this case it improves significantly a MCTS solver to take into account bounds on the possible scores of a node in order to select the nodes to explore. We apply our algorithm to solving Seki in the game of Go and to Connect Four.