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» Move-Pruning Techniques for Monte-Carlo Go
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ACG
2006
Springer
13 years 11 months ago
Move-Pruning Techniques for Monte-Carlo Go
Abstract. Progressive Pruning (PP) is used in the Monte-Carlo go playing program Indigo. For each candidate move, PP launches random games starting with this move. PP gathers stati...
Bruno Bouzy
CIG
2006
IEEE
13 years 11 months ago
Monte-Carlo Go Reinforcement Learning Experiments
Abstract— This paper describes experiments using reinforcement learning techniques to compute pattern urgencies used during simulations performed in a Monte-Carlo Go architecture...
Bruno Bouzy, Guillaume Chaslot
CG
2006
Springer
13 years 8 months ago
Monte-Carlo Proof-Number Search for Computer Go
In the last decade, proof-number search and Monte-Carlo methods have successfully been applied to the combinatorial-games domain. Proof-number search is a reliable algorithm. It re...
Jahn-Takeshi Saito, Guillaume Chaslot, Jos W. H. M...
CG
2008
Springer
13 years 7 months ago
Parallel Monte-Carlo Tree Search
Monte-Carlo Tree Search (MCTS) is a new best-first search method that started a revolution in the field of Computer Go. Parallelizing MCTS is an important way to increase the stren...
Guillaume Chaslot, Mark H. M. Winands, H. Jaap van...
ACG
2009
Springer
13 years 11 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...