LRI - Laboratoire de Recherche en Informatique, UP11 - Université Paris-Sud - Paris 11, Inria Saclay - Ile de France, CNRS - Centre National de la Recherche Scientifique : UMR8623
Abstract : We provide a parallelization with and without shared-memory for Bandit-Based Monte-Carlo Planning algorithms, applied to the game of Go. The resulting algorithm won the first non-blitz game against a professionnal human player in 9x9 Go.
https://hal.inria.fr/inria-00287867
Contributor : Olivier Teytaud
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Submitted on : Friday, June 13, 2008 - 10:56:44 AM
Last modification on : Wednesday, March 27, 2019 - 4:41:29 PM
Long-term archiving on : Friday, May 28, 2010 - 10:19:42 PM
