@inproceedings{f59984ee1daf42bdad1f7f7e540d2709,
title = "Modeling Presymptomatic Spread in Epidemics via Mean-Field Games",
abstract = "This paper is concerned with developing mean-field game models for the evolution of epidemics. Specifically, an agent's decision-to be socially active in the midst of an epidemic-is modeled as a mean-field game with health-related costs and activity-related rewards. By considering the fully and partially observed versions of this problem, the role of information in guiding an agent's rational decision is highlighted. The main contributions of the paper are to derive the equations for the mean-field game in both fully and partially observed settings of the problem, to present a complete analysis of the fully observed case, and to present some analytical results for the partially observed case.",
author = "Olmez, {S. Yagiz} and Shubham Aggarwal and Kim, {Jin Won} and Erik Miehling and Tamer Basar and Matthew West and Mehta, {Prashant G.}",
note = "Publisher Copyright: {\textcopyright} 2022 American Automatic Control Council.; 2022 American Control Conference, ACC 2022 ; Conference date: 08-06-2022 Through 10-06-2022",
year = "2022",
doi = "10.23919/ACC53348.2022.9867547",
language = "English (US)",
series = "Proceedings of the American Control Conference",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "3648--3655",
booktitle = "2022 American Control Conference, ACC 2022",
address = "United States",
}