| Title: | MONTE-CARLO GO TACTIC SEARCH |
| DOI No: | 10.1142/9789812709677_0247 |
| Source: | INFORMATION SCIENCES 2007 (pp 662-670)
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| Author(s): | PEIGANG ZHANG
Computer Science Department, UNC, Charlotte, NC, USA
KEH-HSUN CHEN
Computer Science Department, UNC, Charlotte, NC, USA
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| Abstract: | Standard Monte Carlo UCT tree search algorithm has been modified and extended to provide an efficient Go capturing problem solver. Experiment result shows that this method outperforms traditional tree search methods in solving capturing problems in Go. |
| Full Text: | View full text in PDF format (73KB) |
| TOC: | Back to Table of Contents |
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