Decision-Dependent Distributionally Robust Markov Decision Process Method in Dynamic Epidemic Control

In this paper, we present a Distributionally Robust Markov Decision Process (DRMDP) approach for addressing the dynamic epidemic control problem. The Susceptible-Exposed-Infectious-Recovered (SEIR) model is widely used to represent the stochastic spread of infectious diseases, such as COVID-19. Whil...

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Vydané v:	arXiv.org
Hlavní autori:	Song, Jun, Yang, William, Zhao, Chaoyue
Médium:	Paper
Jazyk:	English
Vydavateľské údaje:	Ithaca Cornell University Library, arXiv.org 24.06.2023
Predmet:	Algorithms Disease control Dynamic programming Epidemics Infectious diseases Markov analysis Markov processes Real-time programming Robustness (mathematics) Transition probabilities
ISSN:	2331-8422
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