146 search results - page 3 / 30 » Parallel Monte-Carlo Tree Search |
CG
2006
Springer
13 years 9 months ago
2006
Springer
Monte-Carlo evaluation consists in estimating a position by averaging the outcome of several random continuations, and can serve as an evaluation function at the leaves of a min-ma...
AIIDE
2008
13 years 7 months ago
2008
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...
CG
2010
Springer
13 years 3 months ago
2010
Springer
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 ...
CG
2008
Springer
13 years 7 months ago
2008
Springer
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...
AAAI
2010
13 years 6 months ago
2010
Perfect Information Monte Carlo (PIMC) search is a practical technique for playing imperfect information games that are too large to be optimally solved. Although PIMC search has ...