Machine Learning-Powered Mitigation Policy Optimization in Epidemiological Models

Type: Preprint

Publication Date: 2020-01-01

Citations: 2

DOI: https://doi.org/10.48550/arxiv.2010.08478

Locations

  • arXiv (Cornell University) - View - PDF
  • OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) - View
  • DataCite API - View

Similar Works

Action Title Year Authors
+ Machine Learning-Powered Mitigation Policy Optimization in Epidemiological Models. 2020 Jayaraman J. Thiagarajan
Peer‐Timo Bremer
Rushil Anirudh
Timothy C. Germann
Sara Y. Del Valle
Frederick H. Streitz
+ EpidemiOptim: A Toolbox for the Optimization of Control Policies in Epidemiological Models 2020 Cédric Colas
Boris P. Hejblum
Sébastien Rouillon
Rodolphe Thiébaut
Pierre-Yves Oudeyer
Clément Moulin-Frier
Mélanie Prague
+ EpidemiOptim: A Toolbox for the Optimization of Control Policies in Epidemiological Models 2020 Cédric Colas
Boris P. Hejblum
Sébastien Rouillon
Rodolphe Thiébaut
Pierre‐Yves Oudeyer
Clément Moulin-Frier
Mélanie Prague
+ Epidemic Control on a Large-Scale-Agent-Based Epidemiology Model using Deep Deterministic Policy Gradient 2023 Gaurav Deshkar
Jayanta Kshirsagar
Harshal Hayatnagarkar
Janani Venugopalan
+ Epidemiologically and Socio-economically Optimal Policies via Bayesian Optimization 2020 Amit Chandak
Debojyoti Dey
Bhaskar Mukhoty
Purushottam Kar
+ Epidemiologically and Socio-economically Optimal Policies via Bayesian Optimization 2020 Amit Chandak
Debojyoti Dey
Bhaskar Mukhoty
Purushottam Kar
+ PDF Chat Epidemiologically and Socio-economically Optimal Policies via Bayesian Optimization 2020 Amit Chandak
Debojyoti Dey
Bhaskar Mukhoty
Purushottam Kar
+ PDF Chat Identifying cost‐effective dynamic policies to control epidemics 2016 Reza Yaesoubi
Ted Cohen
+ PDF Chat EpidemiOptim: A Toolbox for the Optimization of Control Policies in Epidemiological Models 2021 Cédric Colas
Boris P. Hejblum
Sébastien Rouillon
Rodolphe Thiébaut
Pierre-Yves Oudeyer
Clément Moulin-Frier
Mélanie Prague
+ PDF Chat Optimizing non-pharmaceutical intervention strategies against COVID-19 using artificial intelligence 2023 Vito Janko
Nina Reščič
Aljoša Vodopija
David Susič
Carlo De Masi
Tea Tušar
Anton Gradišek
Sophie Vandepitte
Delphine De Smedt
Jana Javornik
+ Optimization of Mitigation Strategies During Epidemics Using Offline Reinforcement Learning 2021 Alina Vereshchaka
Nitin Kulkarni
+ Optimizing Non-Pharmaceutical Intervention Strategies Against COVID-19 Using Artificial Intelligence 2021 Vito Janko
Nina Reščič
Aljoša Vodopija
David Susič
Carlo Maria De Masi
Tea Tušar
Anton Gradišek
Sophie Vandepitte
Delphine De Smedt
Jana Javornik
+ Optimizing Pharmaceutical and Non-pharmaceutical Interventions During Epidemics 2022 Nitin Kulkarni
Chunming Qiao
Alina Vereshchaka
+ From policy to prediction: Forecasting COVID-19 dynamics under imperfect vaccination 2022 Xiunan Wang
Hao Wang
Pouria Ramazi
Kyeongah Nah
Mark A. Lewis
+ PDF Chat A Reinforcement Learning Based Decision Support Tool for Epidemic Control: Validation Study for COVID-19 2022 Mohamed-Amine Chadi
Hajar Mousannif
+ Supplementary material from "A simple criterion to design optimal non-pharmaceutical interventions for mitigating epidemic outbreaks" 2021 Jaime A. Moreno
+ Evaluating COVID-19 vaccine allocation policies using Bayesian $m$-top exploration 2023 Alexandra Cimpean
Timothy Verstraeten
Lander Willem
Niel Hens
Ann Nowé
Pieter Libin
+ PDF Chat From Policy to Prediction: Forecasting COVID-19 Dynamics Under Imperfect Vaccination 2022 Xiunan Wang
Hao Wang
Pouria Ramazi
Kyeongah Nah
Mark A. Lewis
+ PDF Chat A Hypothesis-Free Bridging of Disease Dynamics and Non-pharmaceutical Policies 2022 Xiunan Wang
Hao Wang
Pouria Ramazi
Kyeongah Nah
Mark A. Lewis
+ PDF Chat Optimal algorithms for controlling infectious diseases in real time using noisy infection data 2024 Sándor Beregi
Kris V. Parag

Works Cited by This (0)

Action Title Year Authors