Tiancheng Yu
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126
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ML×1AI×1Game Theory×1
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2026
Regret Minimization with Adaptive Opponents in Repeated Games
This paper introduces Repeated Policy Regret (RP-Regret), a novel game-theoretic metric for analyzing regret in repeated games with adaptive opponents, and proposes algorithms to minimize it.
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