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

17 May 2021

Gaurav Aggarwal

Pradeep Varakantham

Papers citing "Learn to Intervene: An Adaptive Learning Policy for Restless Bandits in Application to Preventive Healthcare"

13 / 13 papers shown

Title
Projection-based Lyapunov method for fully heterogeneous weakly-coupled MDPs Xiangcheng Zhang Yige Hong Weina Wang 51 0 0 09 Feb 2025
Optimizing HIV Patient Engagement with Reinforcement Learning in Resource-Limited Settings África Periánez Kathrin Schmitz Lazola Makhupula Moiz Hassan Moeti Moleko Ana Fernández del Río Ivan Nazarov Aditya Rastogi Dexian Tang OffRL 42 0 0 14 Aug 2024
The Bandit Whisperer: Communication Learning for Restless Bandits Yunfan Zhao Tonghan Wang Dheeraj M. Nagaraj Aparna Taneja Milind Tambe 57 5 0 11 Aug 2024
Finite-Time Analysis of Whittle Index based Q-Learning for Restless Multi-Armed Bandits with Neural Network Function Approximation Guojun Xiong Jian Li 47 13 0 03 Oct 2023
Data-pooling Reinforcement Learning for Personalized Healthcare Intervention Xinyun Chen P. Shi Shanwen Pu OffRL 35 4 0 16 Nov 2022
DeepTOP: Deep Threshold-Optimal Policy for MDPs and RMABs Khaled Nakhleh I.-Hong Hou 75 6 0 18 Sep 2022
Optimistic Whittle Index Policy: Online Learning for Restless Bandits Kai Wang Lily Xu Aparna Taneja Milind Tambe 50 16 0 30 May 2022
Minimizing Expected Intrusion Detection Time in Adversarial Patrolling David Klavska Antonín Kuvcera Vít Musil Vojtvech vRehák AAML 14 0 0 02 Feb 2022
Networked Restless Multi-Armed Bandits for Mobile Interventions H. Ou Christoph Siebenbrunner J. Killian M. Brooks David Kempe Yevgeniy Vorobeychik Milind Tambe 54 7 0 28 Jan 2022
NeurWIN: Neural Whittle Index Network For Restless Bandits Via Deep RL Khaled Nakhleh Santosh Ganji Ping-Chun Hsieh I.-Hong Hou S. Shakkottai 61 38 0 05 Oct 2021
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 33 52 0 16 Sep 2021
Q-Learning Lagrange Policies for Multi-Action Restless Bandits J. Killian Arpita Biswas Sanket Shah Milind Tambe OffRL 38 33 0 22 Jun 2021
Efficient Algorithms for Finite Horizon and Streaming Restless Multi-Armed Bandit Problems Aditya Mate Arpita Biswas Christoph Siebenbrunner Susobhan Ghosh Milind Tambe 29 9 0 08 Mar 2021