Depth-Limited Solving for Imperfect-Information Games

Noam Brown, Tuomas Sandholm, Brandon Amos

Neural Information Processing Systems 

A fundamental challenge in imperfect-information games is that states do not have well-defined values. As a result, depth-limited search algorithms used in singleagent settings and perfect-information games do not apply. This paper introduces a principled way to conduct depth-limited solving in imperfect-information games by allowing the opponent to choose among a number of strategies for the remainder of the game at the depth limit.

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