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ACG
2015
Springer

Playout Policy Adaptation for Games

3 years 10 days ago
Playout Policy Adaptation for Games
Abstract. Monte Carlo Tree Search (MCTS) is the state of the art algorithm for General Game Playing (GGP). We propose to learn a playout policy online so as to improve MCTS for GGP. We test the resulting algorithm named Playout Policy Adaptation (PPA) on Atarigo, Breakthrough, Misere Breakthrough, Domineering, Misere Domineering, Go, Knightthrough, Misere Knightthrough, Nogo and Misere Nogo. For most of these games, PPA is better than UCT with a uniform random playout policy, with the notable exceptions of Go and Nogo.
Tristan Cazenave
Added 13 Apr 2016
Updated 13 Apr 2016
Type Journal
Year 2015
Where ACG
Authors Tristan Cazenave
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