Reduced Space and Faster Convergence in Imperfect-Information Games via Pruning

ICML 2017 Noam BrownTuomas Sandholm

Iterative algorithms such as Counterfactual Regret Minimization (CFR) are the most popular way to solve large zero-sum imperfect-information games. In this paper we introduce Best-Response Pruning (BRP), an improvement to iterative algorithms such as CFR that allows poorly-performing actions to be temporarily pruned... (read more)

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