Learning to Play Sequential Games versus Unknown Opponents

Neural Information Processing Systems 

To this end, we use kernel-based regularity assumptions to capture and exploit the structure in the opponent's response. We propose a novel algorithm for the learner when playing against an adversarial sequence of opponents.

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