All-Moves-As-First Heuristics in Monte-Carlo Go

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Abstract-- We present and explore the effectiveness of several variations on the All-Moves-As-First (AMAF) heuristic in Monte-Carlo Go. Our results show that:

David P. Helmbold, Aleatha Parker-Wood

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Artificial Intelligence | ICAI 2009 | Los Vegas | Monte-Carlo Go | Random Play-outs |

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» Heuristics in Monte Carlo Go

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» MonteCarlo Tree Search in Settlers of Catan

» SimulationBased Approach to General Game Playing

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Added	18 Feb 2011
Updated	18 Feb 2011
Type	Journal
Year	2009
Where	ICAI
Authors	David P. Helmbold, Aleatha Parker-Wood

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All-Moves-As-First Heuristics in Monte-Carlo Go

Artificial Intelligence | ICAI 2009 | Los Vegas | Monte-Carlo Go | Random Play-outs |

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