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Home/Authors/Tiancheng Yu

Tiancheng Yu

1 indexed paper

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Publications per year

1
26

Top categories

ML×1AI×1Game Theory×1

Frequent co-authors

Mingyang Liu1×
Asuman Ozdaglar1×
Kaiqing Zhang1×

Research Timeline

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.

Highlighted terms show continued research focus across papers

Papers

cs.LGcs.AIcs.GTRecentJun 4, 2026

Regret Minimization with Adaptive Opponents in Repeated Games

Mingyang Liu, Asuman Ozdaglar, Tiancheng Yu, Kaiqing Zhang

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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