Multiple Tree for Partially Observable Monte-Carlo Tree Search

Computer Science – Computer Science and Game Theory

Scientific paper

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Scientific paper

We propose an algorithm for computing approximate Nash equilibria of
partially observable games using Monte-Carlo tree search based on recent bandit
methods. We obtain experimental results for the game of phantom tic-tac-toe,
showing that strong strategies can be efficiently computed by our algorithm.

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