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AIIDE
2008
13 years 9 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
2008
Springer
13 years 9 months ago
A Parallel Monte-Carlo Tree Search Algorithm
Monte-Carlo tree search is a powerful paradigm for the game of Go. We present a parallel Master-Slave algorithm for Monte-Carlo tree search. We experimented the algorithm on a netw...
Tristan Cazenave, Nicolas Jouandeau
CG
2010
Springer
13 years 5 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
CG
2008
Springer
13 years 9 months ago
Monte-Carlo Tree Search Solver
Recently, Monte-Carlo Tree Search (MCTS) has advanced the field of computer Go substantially. In this article we investigate the application of MCTS for the game Lines of Action (L...
Mark H. M. Winands, Yngvi Björnsson, Jahn-Tak...
CG
2010
Springer
13 years 5 months ago
Scalability and Parallelization of Monte-Carlo Tree Search
Monte-Carlo Tree Search is now a well established algorithm, in games and beyond. We analyze its scalability, and in particular its limitations, and the implications in terms of pa...
Amine Bourki, Guillaume Chaslot, Matthieu Coulm, V...