A note on first order quasi-stationary Mean Field Games
Fabio Camilli, Claudio Marchi, Cristian Mendico

TL;DR
This paper studies first-order quasi-stationary Mean Field Games using weak KAM theory, focusing on conditions that ensure continuity of key structures like the Peierls barrier and Aubry set, especially for perturbed mechanical Hamiltonians.
Contribution
It introduces assumptions on the Hamiltonian and coupling cost to guarantee continuity properties in first-order quasi-stationary Mean Field Games, expanding understanding of their ergodic behavior.
Findings
Continuity of the Peierls barrier over time
Continuity of the Aubry set over time
Applicability to perturbed mechanical Hamiltonians
Abstract
Quasi-stationary Mean Field Games models consider agents who base their strategies on current information without forecasting future states. In this paper we address the first-order quasi-stationary Mean Field Games system, which involves an ergodic Hamilton-Jacobi equation and an evolutive continuity equation. Our approach relies on weak KAM theory. We introduce assumptions on the Hamiltonian and coupling cost to ensure continuity of the Peierls barrier and the Aubry set over time. These assumptions, though restrictive, cover interesting cases such as perturbed mechanical Hamiltonians.
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Taxonomy
TopicsGame Theory and Applications · Economic theories and models · Stochastic processes and financial applications
