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VacSIM: Learning Effective Strategies for COVID-19 Vaccine Distribution
  using Reinforcement Learning

VacSIM: Learning Effective Strategies for COVID-19 Vaccine Distribution using Reinforcement Learning

14 September 2020
R. Awasthi
K. K. Guliani
Saif Ahmad Khan
Aniket Vashishtha
M. S. Gill
Arshita Bhatt
A. Nagori
Aniket Gupta
Ponnurangam Kumaraguru
Tavpritesh Sethi
ArXivPDFHTML

Papers citing "VacSIM: Learning Effective Strategies for COVID-19 Vaccine Distribution using Reinforcement Learning"

2 / 2 papers shown
Title
Evaluating COVID-19 vaccine allocation policies using Bayesian $m$-top exploration
Evaluating COVID-19 vaccine allocation policies using Bayesian mmm-top exploration
Alexandra Cimpean
T. Verstraeten
L. Willem
N. Hens
Ann Nowé
Pieter J. K. Libin
21
2
0
30 Jan 2023
VacciNet: Towards a Smart Framework for Learning the Distribution Chain
  Optimization of Vaccines for a Pandemic
VacciNet: Towards a Smart Framework for Learning the Distribution Chain Optimization of Vaccines for a Pandemic
Jayeeta Mondal
Jeet Dutta
H. Barua
OffRL
16
0
0
01 Aug 2022
1