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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Veröffentlicht in:	arXiv.org
Hauptverfasser:	Song, Jun, Yang, William, Zhao, Chaoyue
Format:	Paper
Sprache:	Englisch
Veröffentlicht:	Ithaca Cornell University Library, arXiv.org 24.06.2023
Schlagworte:	Algorithms Disease control Dynamic programming Epidemics Infectious diseases Markov analysis Markov processes Real-time programming Robustness (mathematics) Transition probabilities
ISSN:	2331-8422
Online-Zugang:	Volltext
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