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» All-Moves-As-First Heuristics in Monte-Carlo Go
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ICAI
2009
13 years 3 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
ACG
2009
Springer
13 years 12 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
13 years 6 months ago
Heuristics in Monte Carlo Go
Peter Drake, Steve Uurtamo
ICGA
2007
89views Optimization» more  ICGA 2007»
13 years 5 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
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