Reinforcement Learning for Optimization of COVID-19 Mitigation policies

10/20/2020
by   Varun Kompella, et al.
33

The year 2020 has seen the COVID-19 virus lead to one of the worst global pandemics in history. As a result, governments around the world are faced with the challenge of protecting public health, while keeping the economy running to the greatest extent possible. Epidemiological models provide insight into the spread of these types of diseases and predict the effects of possible intervention policies. However, to date,the even the most data-driven intervention policies rely on heuristics. In this paper, we study how reinforcement learning (RL) can be used to optimize mitigation policies that minimize the economic impact without overwhelming the hospital capacity. Our main contributions are (1) a novel agent-based pandemic simulator which, unlike traditional models, is able to model fine-grained interactions among people at specific locations in a community; and (2) an RL-based methodology for optimizing fine-grained mitigation policies within this simulator. Our results validate both the overall simulator behavior and the learned policies under realistic conditions.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
04/04/2021

City-scale Simulation of Covid-19 Pandemic and Intervention Policies using Agent-based Modelling

During the Covid-19 pandemic, most governments across the world imposed ...
research
05/22/2020

Epidemiologically and Socio-economically Optimal Policies via Bayesian Optimization

Mass public quarantining, colloquially known as a lock-down, is a non-ph...
research
09/10/2020

COVID-19 Pandemic Cyclic Lockdown Optimization Using Reinforcement Learning

This work examines the use of reinforcement learning (RL) to optimize cy...
research
04/11/2022

Exploring the Pareto front of multi-objective COVID-19 mitigation policies using reinforcement learning

Infectious disease outbreaks can have a disruptive impact on public heal...
research
03/24/2021

Pyfectious: An individual-level simulator to discover optimal containment polices for epidemic diseases

Simulating the spread of infectious diseases in human communities is cri...
research
04/16/2021

Data-driven Optimization Model for Global Covid-19 Intervention Plans

In the wake of COVID-19, every government huddles to find the best inter...

Please sign up or login with your details

Forgot password? Click here to reset