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Regret Minimization with Adaptive Opponents in Repeated Games

Mingyang Liu, Asuman Ozdaglar, Tiancheng Yu, Kaiqing Zhang
Jun 5, 2026 at 04:00
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arXiv:2606.06486v1 Announce Type: cross Abstract: In this paper, we study regret minimization in repeated games with \emph{adaptive} opponents who can respond based on histories of play. The standard metric of \emph{external regret} in online learning is known to fail to capture such adaptivity. To account for players' counterfactual reasoning,...

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