Mean-field games of optimal stopping: master equation and weak equilibria

Fuente: arXiv
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Main Authors: Possamaï, Dylan, Talbi, Mehdi
Format: Preprint
Published: 2023
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author Possamaï, Dylan
Talbi, Mehdi
author_facet Possamaï, Dylan
Talbi, Mehdi
contents We are interested in the study of stochastic games for which each player faces an optimal stopping problem. In our setting, the players may interact through the criterion to optimise as well as through their dynamics. After briefly discussing the N-player game, we formulate the corresponding mean-field problem. In particular, we introduce a weak formulation of the game for which we are able to prove existence of Nash equilibria for a large class of criteria. We also prove that equilibria for the mean-field problem provide approximated Nash equilibria for the N-player game, and we formally derive the master equation associated with our mean-field game.
format Preprint
id arxiv_https___arxiv_org_abs_2307_09278
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Mean-field games of optimal stopping: master equation and weak equilibria
Possamaï, Dylan
Talbi, Mehdi
Probability
Optimization and Control
We are interested in the study of stochastic games for which each player faces an optimal stopping problem. In our setting, the players may interact through the criterion to optimise as well as through their dynamics. After briefly discussing the N-player game, we formulate the corresponding mean-field problem. In particular, we introduce a weak formulation of the game for which we are able to prove existence of Nash equilibria for a large class of criteria. We also prove that equilibria for the mean-field problem provide approximated Nash equilibria for the N-player game, and we formally derive the master equation associated with our mean-field game.
title Mean-field games of optimal stopping: master equation and weak equilibria
topic Probability
Optimization and Control
url https://arxiv.org/abs/2307.09278