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» Heuristics in Monte Carlo Go
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ICAI
2009
13 years 2 months ago
All-Moves-As-First Heuristics in Monte-Carlo Go
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
ICAI
2007
13 years 6 months ago
Heuristics in Monte Carlo Go
Peter Drake, Steve Uurtamo
ACG
2003
Springer
13 years 10 months ago
Monte-Carlo Go Developments
We describe two Go programs,  ¢¡¤£¦¥ and  ¢¡¤§¨£ , developed by a Monte-Carlo approach that is simpler than Bruegmann’s (1993) approach. Our method is based on Abra...
Bruno Bouzy, Bernard Helmstetter
ICGA
2007
89views Optimization» more  ICGA 2007»
13 years 4 months ago
Playing the Right Atari
We experimented a simple yet powerful optimization for Monte-Carlo Go tree search. It consists in dealing appropriately with strings that have two liberties. The heuristic is cont...
Tristan Cazenave
AAAI
2006
13 years 6 months ago
Monte Carlo Go Has a Way to Go
Monte Carlo Go is a promising method to improve the performance of computer Go programs. This approach determines the next move to play based on many Monte Carlo samples. This pap...
Haruhiro Yoshimoto, Kazuki Yoshizoe, Tomoyuki Kane...