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TCIAIG
2010
13 years 29 days ago
Monte Carlo Tree Search in Hex
Hex, the classic board game invented by Piet Hein in 1942 and independently by John Nash in 1948, has been a domain of artificial intelligence research since Claude Shannon's ...
Broderick Arneson, Ryan B. Hayward, Philip Henders...
CG
2006
Springer
13 years 10 months ago
Efficient Selectivity and Backup Operators in Monte-Carlo Tree Search
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...
Rémi Coulom
AIIDE
2008
13 years 8 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 8 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 4 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...