Limit equilibrium payoffs in Stochastic Games - ANITI - Artificial and Natural Intelligence Toulouse Institute Accéder directement au contenu
Article Dans Une Revue Mathematics of Operations Research Année : 2020

Limit equilibrium payoffs in Stochastic Games

Résumé

We study the limit of equilibrium payoffs, as the discount factor goes to one, in nonzero-sum stochastic games. We first show that the set of stationary equilibrium payoffs always converges. We then provide 2-player examples in which the whole set of equilibrium payoffs diverges. The construction is robust to perturbations of the payoffs, and to the introduction of normal-form correlation.
Fichier principal
Vignette du fichier
version_finaleLEPSG.pdf (248.1 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)

Dates et versions

hal-04041893 , version 1 (22-03-2023)

Identifiants

Citer

Jérôme Renault, Bruno Ziliotto. Limit equilibrium payoffs in Stochastic Games. Mathematics of Operations Research, 2020, 45 (3), pp.889-895. ⟨10.1287/moor.2019.1015⟩. ⟨hal-04041893⟩
15 Consultations
12 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More