Closed-loop Equilibria for Mean-Field Games in Randomly Switching Environments with General Discounting Costs

Fuente: arXiv
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Main Authors: Mei, Hongwei, Nguyen, Son Luu, Yin, George
Format: Preprint
Published: 2024
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author Mei, Hongwei
Nguyen, Son Luu
Yin, George
author_facet Mei, Hongwei
Nguyen, Son Luu
Yin, George
contents This work is devoted to finding the closed-loop equilibria for a class of mean-field games (MFGs) with infinitely many symmetric players in a common switching environment when the cost functional is under general discount in time. There are two key challenges in the application of the well-known Hamilton-Jacobi-Bellman and Fokker-Planck (HJB-FP) approach to our problems: the path-dependence due to the conditional mean-field interaction and the time-inconsistency due to the general discounting cost. To overcome the difficulties, a theory for a class of systems of path-dependent equilibrium Hamilton-Jacobi-Bellman equations (HJBs) is developed. Then closed-loop equilibrium strategies can be identified through a two-step verification procedure. It should be noted that the closed-loop equilibrium strategies obtained satisfy a new form of local optimality in the Nash sense. The theory obtained extends the HJB-FP approach for classical MFGs to more general conditional MFGs with general discounting costs.
format Preprint
id arxiv_https___arxiv_org_abs_2403_00227
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Closed-loop Equilibria for Mean-Field Games in Randomly Switching Environments with General Discounting Costs
Mei, Hongwei
Nguyen, Son Luu
Yin, George
Optimization and Control
60H10, 91A16, 93E03, 34K50
This work is devoted to finding the closed-loop equilibria for a class of mean-field games (MFGs) with infinitely many symmetric players in a common switching environment when the cost functional is under general discount in time. There are two key challenges in the application of the well-known Hamilton-Jacobi-Bellman and Fokker-Planck (HJB-FP) approach to our problems: the path-dependence due to the conditional mean-field interaction and the time-inconsistency due to the general discounting cost. To overcome the difficulties, a theory for a class of systems of path-dependent equilibrium Hamilton-Jacobi-Bellman equations (HJBs) is developed. Then closed-loop equilibrium strategies can be identified through a two-step verification procedure. It should be noted that the closed-loop equilibrium strategies obtained satisfy a new form of local optimality in the Nash sense. The theory obtained extends the HJB-FP approach for classical MFGs to more general conditional MFGs with general discounting costs.
title Closed-loop Equilibria for Mean-Field Games in Randomly Switching Environments with General Discounting Costs
topic Optimization and Control
60H10, 91A16, 93E03, 34K50
url https://arxiv.org/abs/2403.00227