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» All-Moves-As-First Heuristics in Monte-Carlo Go
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ICAI
2009
14 years 9 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
97
Voted
ACG
2009
Springer
15 years 6 months ago
Adding Expert Knowledge and Exploration in Monte-Carlo Tree Search
Abstract. We present a new exploration term, more efficient than classical UCT-like exploration terms. It combines efficiently expert rules, patterns extracted from datasets, All-M...
Guillaume Chaslot, Christophe Fiter, Jean-Baptiste...
ICAI
2007
15 years 1 months ago
Heuristics in Monte Carlo Go
Peter Drake, Steve Uurtamo
79
Voted
ICGA
2007
89views Optimization» more  ICGA 2007»
14 years 11 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
ACG
2003
Springer
15 years 4 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