MONTE CARLO GO CAPTURING TACTIC SEARCH
Peigang Zhang () and
Keh-Hsun Chen ()
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Peigang Zhang: Department of Computer Science, University of North Carolina, Charlotte, Charlotte, NC 28223, USA
Keh-Hsun Chen: Department of Computer Science, University of North Carolina, Charlotte, Charlotte, NC 28223, USA
New Mathematics and Natural Computation (NMNC), 2008, vol. 04, issue 03, 359-367
Abstract:
This paper is an extended version of the authors' paper12presented at JCIS 2007. Standard Monte Carlo UCT tree search algorithm is modified and extended to provide an efficient Go capturing problem solver. Experimental results show that this method outperforms traditional tree search methods to solve capturing problems in Go.
Keywords: Computer Go; Monte Carlo tree search; UCT; Go capturing problems (search for similar items in EconPapers)
Date: 2008
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Persistent link: https://EconPapers.repec.org/RePEc:wsi:nmncxx:v:04:y:2008:i:03:n:s1793005708001136
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DOI: 10.1142/S1793005708001136
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