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Evaluating COVID-19 vaccine allocation policies using Bayesian $m$-top exploration

Evaluating COVID-19 vaccine allocation policies using Bayesian mmm-top exploration

30 January 2023
Alexandra Cimpean
T. Verstraeten
L. Willem
N. Hens
Ann Nowé
Pieter J. K. Libin
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Papers citing "Evaluating COVID-19 vaccine allocation policies using Bayesian $m$-top exploration"

16 / 16 papers shown
Title
Deep Reinforcement Learning for Efficient and Fair Allocation of Health
  Care Resources
Deep Reinforcement Learning for Efficient and Fair Allocation of Health Care Resources
Yikuan Li
Chengsheng Mao
Kaixuan Huang
Hanyin Wang
Zheng Yu
Mengdi Wang
Yuan Luo
OOD
OffRL
47
1
0
15 Sep 2023
Exploring the Pareto front of multi-objective COVID-19 mitigation
  policies using reinforcement learning
Exploring the Pareto front of multi-objective COVID-19 mitigation policies using reinforcement learning
Mathieu Reymond
Conor F. Hayes
L. Willem
Roxana Rădulescu
S. Abrams
...
Enda Howley
Patrick Mannion
N. Hens
Ann Nowé
Pieter J. K. Libin
44
8
0
11 Apr 2022
Multi-Armed Bandits with Dependent Arms
Multi-Armed Bandits with Dependent Arms
Rahul Singh
Fang Liu
Yin Sun
Ness B. Shroff
34
11
0
13 Oct 2020
VacSIM: Learning Effective Strategies for COVID-19 Vaccine Distribution
  using Reinforcement Learning
VacSIM: Learning Effective Strategies for COVID-19 Vaccine Distribution using Reinforcement Learning
R. Awasthi
K. K. Guliani
Saif Ahmad Khan
Aniket Vashishtha
M. S. Gill
Arshita Bhatt
A. Nagori
Aniket Gupta
Ponnurangam Kumaraguru
Tavpritesh Sethi
67
24
0
14 Sep 2020
A framework for optimizing COVID-19 testing policy using a Multi Armed
  Bandit approach
A framework for optimizing COVID-19 testing policy using a Multi Armed Bandit approach
Hagit Grushka-Cohen
Raphael Cohen
Bracha Shapira
Jacob Moran-Gilad
Lior Rokach
11
7
0
28 Jul 2020
Stochastic bandits with arm-dependent delays
Stochastic bandits with arm-dependent delays
Anne Gael Manegueu
Claire Vernade
Alexandra Carpentier
Michal Valko
47
44
0
18 Jun 2020
Deep reinforcement learning for large-scale epidemic control
Deep reinforcement learning for large-scale epidemic control
Pieter J. K. Libin
Arno Moonens
T. Verstraeten
F. Perez-Sanjines
N. Hens
P. Lemey
Ann Nowé
AI4CE
12
42
0
30 Mar 2020
Multi-Armed Bandits with Correlated Arms
Multi-Armed Bandits with Correlated Arms
Samarth Gupta
Shreyas Chaudhari
Gauri Joshi
Osman Yağan
86
51
0
06 Nov 2019
Regional Multi-Armed Bandits
Regional Multi-Armed Bandits
Zhiyang Wang
Ruida Zhou
Cong Shen
80
18
0
22 Feb 2018
Bayesian Best-Arm Identification for Selecting Influenza Mitigation
  Strategies
Bayesian Best-Arm Identification for Selecting Influenza Mitigation Strategies
Pieter J. K. Libin
T. Verstraeten
D. Roijers
J. Grujić
Kristof Theys
P. Lemey
A. Nowé
25
23
0
16 Nov 2017
Simple Bayesian Algorithms for Best Arm Identification
Simple Bayesian Algorithms for Best Arm Identification
Daniel Russo
43
277
0
26 Feb 2016
Optimal Best Arm Identification with Fixed Confidence
Optimal Best Arm Identification with Fixed Confidence
Aurélien Garivier
E. Kaufmann
59
341
0
15 Feb 2016
On the Complexity of Best Arm Identification in Multi-Armed Bandit
  Models
On the Complexity of Best Arm Identification in Multi-Armed Bandit Models
E. Kaufmann
Olivier Cappé
Aurélien Garivier
108
1,021
0
16 Jul 2014
An Information-Theoretic Analysis of Thompson Sampling
An Information-Theoretic Analysis of Thompson Sampling
Daniel Russo
Benjamin Van Roy
88
423
0
21 Mar 2014
Optimality of Thompson Sampling for Gaussian Bandits Depends on Priors
Optimality of Thompson Sampling for Gaussian Bandits Depends on Priors
Junya Honda
Akimichi Takemura
41
63
0
08 Nov 2013
Stochastic epidemic models: a survey
Stochastic epidemic models: a survey
T. Britton
64
452
0
23 Oct 2009
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