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Erschienen in:
2012 | OriginalPaper | Buchkapitel
Accelerated UCT and Its Application to Two-Player Games
verfasst von : Junichi Hashimoto, Akihiro Kishimoto, Kazuki Yoshizoe, Kokolo Ikeda
Erschienen in: Advances in Computer Games
Verlag: Springer Berlin Heidelberg
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Monte-Carlo Tree Search (MCTS) is a successful approach for improving the performance of game-playing programs. This paper presents the Accelerated UCT algorithm, which overcomes a weakness of MCTS caused by deceptive structures which often appear in game tree search. It consists in using a new backup operator that assigns higher weights to recently visited actions, and lower weights to actions that have not been visited for a long time. Results in Othello, Havannah, and Go show that Accelerated UCT is not only more effective than previous approaches but also improves the strength of F
uego
, which is one of the best computer Go programs.