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» LinUCB Applied to Monte-Carlo Tree Search
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CG
2010
Springer
13 years 9 months ago
Score Bounded Monte-Carlo Tree Search
Monte-Carlo Tree Search (MCTS) is a successful algorithm used in many state of the art game engines. We propose to improve a MCTS solver when a game has more than two outcomes. It ...
Tristan Cazenave, Abdallah Saffidine
AIIDE
2008
14 years 1 months ago
Monte-Carlo Tree Search: A New Framework for Game AI
Classic approaches to game AI require either a high quality of domain knowledge, or a long time to generate effective AI behaviour. These two characteristics hamper the goal of es...
Guillaume Chaslot, Sander Bakkes, Istvan Szita, Pi...
CG
2010
Springer
13 years 9 months ago
Biasing Monte-Carlo Simulations through RAVE Values
Abstract. The Monte-Carlo Tree Search algorithm has been successfully applied in various domains. However, its performance heavily depends on the Monte-Carlo part. In this paper, w...
Arpad Rimmel, Fabien Teytaud, Olivier Teytaud
ICGA
2008
208views Optimization» more  ICGA 2008»
13 years 11 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...
ACG
2009
Springer
14 years 5 months ago
Monte-Carlo Tree Search in Settlers of Catan
Abstract. Games are considered important benchmark tasks of artificial intelligence research. Modern strategic board games can typically be played by three or more people, which m...
Istvan Szita, Guillaume Chaslot, Pieter Spronck