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Autores principales: Fleischmann, Henry, Fragkia, Kiriaki, Berker, Ratip Emin
Formato: Preprint
Publicado: 2025
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Acceso en línea:https://arxiv.org/abs/2505.14847
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author Fleischmann, Henry
Fragkia, Kiriaki
Berker, Ratip Emin
author_facet Fleischmann, Henry
Fragkia, Kiriaki
Berker, Ratip Emin
contents Infinitely repeated games support equilibrium concepts beyond those present in one-shot games (e.g., cooperation in the prisoner's dilemma). Nonetheless, repeated games fail to capture our real-world intuition for settings with many anonymous agents interacting in pairs. Repeated games with restarts, introduced by Berker and Conitzer [IJCAI '24], address this concern by giving players the option to restart the game with someone new whenever their partner deviates from an agreed-upon sequence of actions. In their work, they studied symmetric games with symmetric strategies. We significantly extend these results, introducing and analyzing more general notions of equilibria in asymmetric games with restarts. We characterize which goal strategies players can be incentivized to play in equilibrium, and we consider the computational problem of finding such sequences of actions with minimal cost for the agents. We show that this problem is NP-hard in general. However, when the goal sequence maximizes social welfare, we give a pseudo-polynomial time algorithm.
format Preprint
id arxiv_https___arxiv_org_abs_2505_14847
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Beyond Symmetry in Repeated Games with Restarts
Fleischmann, Henry
Fragkia, Kiriaki
Berker, Ratip Emin
Computer Science and Game Theory
F.2.m; I.2.m
Infinitely repeated games support equilibrium concepts beyond those present in one-shot games (e.g., cooperation in the prisoner's dilemma). Nonetheless, repeated games fail to capture our real-world intuition for settings with many anonymous agents interacting in pairs. Repeated games with restarts, introduced by Berker and Conitzer [IJCAI '24], address this concern by giving players the option to restart the game with someone new whenever their partner deviates from an agreed-upon sequence of actions. In their work, they studied symmetric games with symmetric strategies. We significantly extend these results, introducing and analyzing more general notions of equilibria in asymmetric games with restarts. We characterize which goal strategies players can be incentivized to play in equilibrium, and we consider the computational problem of finding such sequences of actions with minimal cost for the agents. We show that this problem is NP-hard in general. However, when the goal sequence maximizes social welfare, we give a pseudo-polynomial time algorithm.
title Beyond Symmetry in Repeated Games with Restarts
topic Computer Science and Game Theory
F.2.m; I.2.m
url https://arxiv.org/abs/2505.14847