@inproceedings{e6138c7d0aa44f3289572275cd88054b,
title = "Optimal feedback policies in stochastic epidemic models",
abstract = "We consider the problem of finding optimal policies that mitigate the effects of an epidemic. We develop computational tools for finding such policies for broad classes of stochastic epidemic models and investigate various features of such policies. In particular, we observe that optimal policies are predominantly constant for epidemics where the mitigation measures are associated with the infected population.",
author = "Carratelli, {Giovanni Pugliese} and Xiaodong Cheng and Parag, {Kris V.} and Ioannis Lestas",
year = "2024",
doi = "10.1109/CDC56724.2024.10886584",
language = "English",
isbn = "9798350316346",
series = "Proceedings of the IEEE Conference on Decision and Control",
publisher = "IEEE",
pages = "7062--7066",
booktitle = "2024 IEEE 63rd Conference on Decision and Control, CDC 2024",
address = "United States",
note = "63rd IEEE Conference on Decision and Control, 2024, CDC 2024 ; Conference date: 16-12-2024 Through 19-12-2024",
}