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

17 May 2021

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

29 / 29 papers shown

Title
Projection-based Lyapunov method for fully heterogeneous weakly-coupled MDPs Xiangcheng Zhang Yige Hong Weina Wang 56 0 0 09 Feb 2025
Lagrangian Index Policy for Restless Bandits with Average Reward Konstantin Avrachenkov Vivek Borkar Pratik Shah 90 0 0 17 Dec 2024
DOPL: Direct Online Preference Learning for Restless Bandits with Preference Feedback Guojun Xiong Ujwal Dinesha Debajoy Mukherjee Jian Li Srinivas Shakkottai 57 2 0 07 Oct 2024
The Digital Transformation in Health: How AI Can Improve the Performance of Health Systems África Periánez Ana Fernández del Río Ivan Nazarov Enric Jané Moiz Hassan Aditya Rastogi Dexian Tang 54 11 0 24 Sep 2024
GINO-Q: Learning an Asymptotically Optimal Index Policy for Restless Multi-armed Bandits Gongpu Chen Soung Chang Liew Deniz Gunduz 27 1 0 19 Aug 2024
Adaptive User Journeys in Pharma E-Commerce with Reinforcement Learning: Insights from SwipeRx Ana Fernández del Río Michael Brennan Leong Paulo Saraiva Ivan Nazarov Aditya Rastogi Moiz Hassan Dexian Tang África Periánez OffRL OnRL 49 2 0 15 Aug 2024
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
EduQate: Generating Adaptive Curricula through RMABs in Education Settings Sidney Tio Dexun Li Pradeep Varakantham OffRL 16 0 0 20 Jun 2024
An Index Policy Based on Sarsa and Q-learning for Heterogeneous Smart Target Tracking Yuhang Hao Zengfu Wang Jing-Zhi Fu Quan Pan 49 0 0 19 Feb 2024
Online Restless Multi-Armed Bandits with Long-Term Fairness Constraints Shu-Fan Wang Guojun Xiong Jian Li 62 6 0 16 Dec 2023
Towards a Pretrained Model for Restless Bandits via Multi-arm Generalization Yunfan Zhao Nikhil Behari Edward Hughes Edwin Zhang Dheeraj M. Nagaraj K. Tuyls Aparna Taneja Milind Tambe 37 8 0 23 Oct 2023
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
Policy Optimization for Personalized Interventions in Behavioral Health Jackie Baek J. Boutilier Vivek F. Farias J. Jónasson Erez Yoeli OffRL 27 7 0 21 Mar 2023
Improved Policy Evaluation for Randomized Trials of Algorithmic Resource Allocation Aditya Mate Bryan Wilder Aparna Taneja Milind Tambe OffRL 14 3 0 06 Feb 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 77 6 0 18 Sep 2022
On-the-fly Adaptation of Patrolling Strategies in Changing Environments Tomávs Brázdil David Klavska Antonín Kuvcera Vít Musil Petr Novotný Vojtvech vRehák TTA AAML 14 0 0 16 Jun 2022
Efficient Resource Allocation with Fairness Constraints in Restless Multi-Armed Bandits Dexun Li Pradeep Varakantham 13 9 0 08 Jun 2022
Optimistic Whittle Index Policy: Online Learning for Restless Bandits Kai Wang Lily Xu Aparna Taneja Milind Tambe 50 16 0 30 May 2022
Near-optimality for infinite-horizon restless bandits with many arms Xinming Zhang P. Frazier 9 14 0 29 Mar 2022
Whittle Index based Q-Learning for Wireless Edge Caching with Linear Function Approximation Guojun Xiong Shu-Fan Wang Jian Li Rahul Singh 38 6 0 26 Feb 2022
Minimizing Expected Intrusion Detection Time in Adversarial Patrolling David Klavska Antonín Kuvcera Vít Musil Vojtvech vRehák AAML 16 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
Restless and Uncertain: Robust Policies for Restless Bandits via Deep Multi-Agent Reinforcement Learning J. Killian Lily Xu Arpita Biswas Milind Tambe 32 6 0 04 Jul 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