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TCIAIG
2010
13 years 6 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 9 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 7 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 7 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 3 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...