On a Reinforcement Learning Methodology for Epidemic Control, with application to COVID-19

Giacomo Iannucci, Petros Barmpounakis, Alexandros Beskos +1

This paper presents a real time, data driven decision support framework for epidemic control. We combine a compartmental epidemic model with sequential Bayesian inference and reinf…