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ICGA
2007
89views Optimization» more  ICGA 2007»
13 years 9 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
ICGA
2008
208views Optimization» more  ICGA 2008»
13 years 9 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...
NIPS
1993
13 years 10 months ago
Temporal Difference Learning of Position Evaluation in the Game of Go
The game of Go has a high branching factor that defeats the tree search approach used in computer chess, and long-range spatiotemporal interactions that make position evaluation e...
Nicol N. Schraudolph, Peter Dayan, Terrence J. Sej...