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Collapsing Bandits and Their Application to Public Health Interventions

Collapsing Bandits and Their Application to Public Health Interventions

5 July 2020
Aditya Mate
J. Killian
Haifeng Xu
Andrew Perrault
Milind Tambe
ArXiv (abs)PDFHTML

Papers citing "Collapsing Bandits and Their Application to Public Health Interventions"

36 / 36 papers shown
Title
ContextWIN: Whittle Index Based Mixture-of-Experts Neural Model For
  Restless Bandits Via Deep RL
ContextWIN: Whittle Index Based Mixture-of-Experts Neural Model For Restless Bandits Via Deep RL
Zhanqiu Guo
Wayne Wang
UQCV
21
0
0
13 Oct 2024
DOPL: Direct Online Preference Learning for Restless Bandits with
  Preference Feedback
DOPL: Direct Online Preference Learning for Restless Bandits with Preference Feedback
Guojun Xiong
Ujwal Dinesha
Debajoy Mukherjee
Jian Li
Srinivas Shakkottai
75
2
0
07 Oct 2024
Deep Index Policy for Multi-Resource Restless Matching Bandit and Its
  Application in Multi-Channel Scheduling
Deep Index Policy for Multi-Resource Restless Matching Bandit and Its Application in Multi-Channel Scheduling
Nida Zamir
I-Hong Hou
68
0
0
13 Aug 2024
EduQate: Generating Adaptive Curricula through RMABs in Education
  Settings
EduQate: Generating Adaptive Curricula through RMABs in Education Settings
Sidney Tio
Dexun Li
Pradeep Varakantham
OffRL
31
0
0
20 Jun 2024
Global Rewards in Restless Multi-Armed Bandits
Global Rewards in Restless Multi-Armed Bandits
Naveen Raman
Zheyuan Ryan Shi
Fei Fang
96
3
0
02 Jun 2024
Preliminary Study of the Impact of AI-Based Interventions on Health and
  Behavioral Outcomes in Maternal Health Programs
Preliminary Study of the Impact of AI-Based Interventions on Health and Behavioral Outcomes in Maternal Health Programs
Arpan Dasgupta
Niclas Boehmer
N. Madhiwalla
Aparna Hedge
Bryan Wilder
Milind Tambe
Aparna Taneja
29
1
0
23 May 2024
Improving Health Information Access in the World's Largest Maternal
  Mobile Health Program via Bandit Algorithms
Improving Health Information Access in the World's Largest Maternal Mobile Health Program via Bandit Algorithms
Arshika Lalan
Shresth Verma
Paula Rodriguez Diaz
Panayiotis Danassis
Amrita Mahale
Kumar Madhu Sudan
Aparna Hegde
Milind Tambe
Aparna Taneja
55
2
0
14 May 2024
A resource-constrained stochastic scheduling algorithm for homeless
  street outreach and gleaning edible food
A resource-constrained stochastic scheduling algorithm for homeless street outreach and gleaning edible food
Conor M. Artman
Aditya Mate
Ezinne Nwankwo
A. Heching
Tsuyoshi Idé
...
Kush R. Varshney
Lauri Goldkind
Gidi Kroch
Jaclyn Sawyer
Ian Watson
72
0
0
15 Mar 2024
Efficient Public Health Intervention Planning Using Decomposition-Based
  Decision-Focused Learning
Efficient Public Health Intervention Planning Using Decomposition-Based Decision-Focused Learning
Sanket Shah
A. Suggala
Milind Tambe
Aparna Taneja
53
0
0
08 Mar 2024
Evaluating the Effectiveness of Index-Based Treatment Allocation
Evaluating the Effectiveness of Index-Based Treatment Allocation
Niclas Boehmer
Yash Nair
Sanket Shah
Lucas Janson
Aparna Taneja
Milind Tambe
76
3
0
19 Feb 2024
Fairness of Exposure in Online Restless Multi-armed Bandits
Fairness of Exposure in Online Restless Multi-armed Bandits
Archit Sood
Shweta Jain
Sujit Gujar
61
2
0
09 Feb 2024
Robust Active Measuring under Model Uncertainty
Robust Active Measuring under Model Uncertainty
Merlijn Krale
T. D. Simão
Jana Tumova
Nils Jansen
51
0
0
18 Dec 2023
Finite-Time Analysis of Whittle Index based Q-Learning for Restless
  Multi-Armed Bandits with Neural Network Function Approximation
Finite-Time Analysis of Whittle Index based Q-Learning for Restless Multi-Armed Bandits with Neural Network Function Approximation
Guojun Xiong
Jian Li
87
14
0
03 Oct 2023
On the Sublinear Regret of GP-UCB
On the Sublinear Regret of GP-UCB
Justin Whitehouse
Zhiwei Steven Wu
Aaditya Ramdas
87
16
0
14 Jul 2023
Planning a Community Approach to Diabetes Care in Low- and Middle-Income
  Countries Using Optimization
Planning a Community Approach to Diabetes Care in Low- and Middle-Income Countries Using Optimization
Katherine Adams
J. Boutilier
S. Deo
Yonatan Dov Mintz
19
2
0
10 May 2023
Policy Optimization for Personalized Interventions in Behavioral Health
Policy Optimization for Personalized Interventions in Behavioral Health
Jackie Baek
J. Boutilier
Vivek F. Farias
J. Jónasson
Erez Yoeli
OffRL
64
8
0
21 Mar 2023
Act-Then-Measure: Reinforcement Learning for Partially Observable
  Environments with Active Measuring
Act-Then-Measure: Reinforcement Learning for Partially Observable Environments with Active Measuring
Merlijn Krale
T. D. Simão
N. Jansen
OffRL
57
7
0
14 Mar 2023
Fairness for Workers Who Pull the Arms: An Index Based Policy for
  Allocation of Restless Bandit Tasks
Fairness for Workers Who Pull the Arms: An Index Based Policy for Allocation of Restless Bandit Tasks
Arpita Biswas
J. Killian
Paula Rodriguez Diaz
Susobhan Ghosh
Milind Tambe
62
3
0
01 Mar 2023
Improved Policy Evaluation for Randomized Trials of Algorithmic Resource
  Allocation
Improved Policy Evaluation for Randomized Trials of Algorithmic Resource Allocation
Aditya Mate
Bryan Wilder
Aparna Taneja
Milind Tambe
OffRL
36
3
0
06 Feb 2023
Decision-Focused Evaluation: Analyzing Performance of Deployed Restless
  Multi-Arm Bandits
Decision-Focused Evaluation: Analyzing Performance of Deployed Restless Multi-Arm Bandits
Paritosh Verma
Shresth Verma
Aditya Mate
Aparna Taneja
Milind Tambe
47
0
0
19 Jan 2023
Networked Restless Bandits with Positive Externalities
Networked Restless Bandits with Positive Externalities
Christine Herlihy
John P. Dickerson
84
3
0
09 Dec 2022
Indexability is Not Enough for Whittle: Improved, Near-Optimal
  Algorithms for Restless Bandits
Indexability is Not Enough for Whittle: Improved, Near-Optimal Algorithms for Restless Bandits
Abheek Ghosh
Dheeraj M. Nagaraj
Manish Jain
Milind Tambe
65
9
0
31 Oct 2022
Non-Stationary Bandits with Auto-Regressive Temporal Dependency
Non-Stationary Bandits with Auto-Regressive Temporal Dependency
Qinyi Chen
Negin Golrezaei
Djallel Bouneffouf
AI4TS
91
13
0
28 Oct 2022
Towards Soft Fairness in Restless Multi-Armed Bandits
Towards Soft Fairness in Restless Multi-Armed Bandits
Dexun Li
Pradeep Varakantham
51
5
0
27 Jul 2022
Efficient Resource Allocation with Fairness Constraints in Restless
  Multi-Armed Bandits
Efficient Resource Allocation with Fairness Constraints in Restless Multi-Armed Bandits
Dexun Li
Pradeep Varakantham
74
9
0
08 Jun 2022
Scalable Decision-Focused Learning in Restless Multi-Armed Bandits with
  Application to Maternal and Child Health
Scalable Decision-Focused Learning in Restless Multi-Armed Bandits with Application to Maternal and Child Health
Kai Wang
Shresth Verma
Aditya Mate
Sanket Shah
Aparna Taneja
N. Madhiwalla
Aparna Hegde
Milind Tambe
78
13
0
02 Feb 2022
Networked Restless Multi-Armed Bandits for Mobile Interventions
Networked Restless Multi-Armed Bandits for Mobile Interventions
H. Ou
Christoph Siebenbrunner
J. Killian
M. Brooks
David Kempe
Yevgeniy Vorobeychik
Milind Tambe
71
8
0
28 Jan 2022
Field Study in Deploying Restless Multi-Armed Bandits: Assisting
  Non-Profits in Improving Maternal and Child Health
Field Study in Deploying Restless Multi-Armed Bandits: Assisting Non-Profits in Improving Maternal and Child Health
Aditya Mate
Lovish Madaan
Aparna Taneja
N. Madhiwalla
Shresth Verma
Gargi Singh
Aparna Hegde
Pradeep Varakantham
Milind Tambe
81
54
0
16 Sep 2021
Restless and Uncertain: Robust Policies for Restless Bandits via Deep
  Multi-Agent Reinforcement Learning
Restless and Uncertain: Robust Policies for Restless Bandits via Deep Multi-Agent Reinforcement Learning
J. Killian
Lily Xu
Arpita Biswas
Milind Tambe
61
6
0
04 Jul 2021
Q-Learning Lagrange Policies for Multi-Action Restless Bandits
Q-Learning Lagrange Policies for Multi-Action Restless Bandits
J. Killian
Arpita Biswas
Sanket Shah
Milind Tambe
OffRL
52
33
0
22 Jun 2021
Planning to Fairly Allocate: Probabilistic Fairness in the Restless
  Bandit Setting
Planning to Fairly Allocate: Probabilistic Fairness in the Restless Bandit Setting
Christine Herlihy
Aviva Prins
A. Srinivasan
John P. Dickerson
68
15
0
14 Jun 2021
Learning MDPs from Features: Predict-Then-Optimize for Sequential
  Decision Problems by Reinforcement Learning
Learning MDPs from Features: Predict-Then-Optimize for Sequential Decision Problems by Reinforcement Learning
Kai Wang
Sanket Shah
Haipeng Chen
Andrew Perrault
Finale Doshi-Velez
Milind Tambe
OffRL
121
6
0
06 Jun 2021
Learn to Intervene: An Adaptive Learning Policy for Restless Bandits in
  Application to Preventive Healthcare
Learn to Intervene: An Adaptive Learning Policy for Restless Bandits in Application to Preventive Healthcare
Arpita Biswas
Gaurav Aggarwal
Pradeep Varakantham
Milind Tambe
67
43
0
17 May 2021
Efficient Algorithms for Finite Horizon and Streaming Restless
  Multi-Armed Bandit Problems
Efficient Algorithms for Finite Horizon and Streaming Restless Multi-Armed Bandit Problems
Aditya Mate
Arpita Biswas
Christoph Siebenbrunner
Susobhan Ghosh
Milind Tambe
92
9
0
08 Mar 2021
Selective Intervention Planning using Restless Multi-Armed Bandits to
  Improve Maternal and Child Health Outcomes
Selective Intervention Planning using Restless Multi-Armed Bandits to Improve Maternal and Child Health Outcomes
Siddharth Nishtala
Lovish Madaan
Aditya Mate
Harshavardhan Kamarthi
Anirudh Grama
...
Ramesh Padmanabhan
Aparna Hegde
Pradeep Varakantham
Balaraman Ravindran
Milind Tambe
41
9
0
07 Mar 2021
Simulation Based Algorithms for Markov Decision Processes and
  Multi-Action Restless Bandits
Simulation Based Algorithms for Markov Decision Processes and Multi-Action Restless Bandits
R. Meshram
Kesav Kaza
128
10
0
25 Jul 2020
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