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arxiv 2408.14086 v1 pith:CQQ2TD5F submitted 2024-08-26 cs.GT cs.LG

ReLExS: Reinforcement Learning Explanations for Stackelberg No-Regret Learners

classification cs.GT cs.LG
keywords stackelbergconstraintequilibriumfollowergameplayersregrettwo-player
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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With the constraint of a no regret follower, will the players in a two-player Stackelberg game still reach Stackelberg equilibrium? We first show when the follower strategy is either reward-average or transform-reward-average, the two players can always get the Stackelberg Equilibrium. Then, we extend that the players can achieve the Stackelberg equilibrium in the two-player game under the no regret constraint. Also, we show a strict upper bound of the follower's utility difference between with and without no regret constraint. Moreover, in constant-sum two-player Stackelberg games with non-regret action sequences, we ensure the total optimal utility of the game remains also bounded.

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