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» Heuristics in Monte Carlo Go
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ACG
2006
Springer
13 years 12 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
CEC
2007
IEEE
14 years 9 days ago
Experiments with Monte Carlo Othello
— In this paper, we report on our experiments with using Monte Carlo simulation (specifically the UCT algorithm) as the basis for an Othello playing program. Monte Carlo methods ...
Philip Hingston, Martin Masek
ICGA
2008
208views Optimization» more  ICGA 2008»
13 years 6 months ago
Cross-Entropy for Monte-Carlo Tree Search
Recently, Monte-Carlo Tree Search (MCTS) has become a popular approach for intelligent play in games. Amongst others, it is successfully used in most state-of-the-art Go programs....
Guillaume Chaslot, Mark H. M. Winands, Istvan Szit...
AI
2008
Springer
13 years 6 months ago
Sequential Monte Carlo in reachability heuristics for probabilistic planning
The current best conformant probabilistic planners encode the problem as a bounded length CSP or SAT problem. While these approaches can find optimal solutions for given plan leng...
Daniel Bryce, Subbarao Kambhampati, David E. Smith