Tag
This paper introduces Repeated Policy Regret (RP-Regret), a game-theoretic metric for regret minimization in repeated games with adaptive opponents, and proposes three algorithms to minimize it, showing that doing so can lead to cooperative equilibria like in Stag-Hunt.