On the Parallelization of Monte-Carlo planning

2008
Gelly, Sylvain
Hoock, Jean-Baptiste
Rimmel, Arpad
Teytaud, Olivier
Kalemkarian, Yann

Abstract: Résumé : 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.

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