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Learning to Detect Heavy Drinking Episodes Using Smartphone Accelerometer Data.

, , , , and . KDH@IJCAI, volume 2429 of CEUR Workshop Proceedings, page 35-42. CEUR-WS.org, (2019)

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Equitable Restless Multi-Armed Bandits: A General Framework Inspired By Digital Health., , , , , and . CoRR, (2023)Restless and uncertain: Robust policies for restless bandits via deep multi-agent reinforcement learning., , , and . UAI, volume 180 of Proceedings of Machine Learning Research, page 990-1000. PMLR, (2022)Limited Resource Allocation in a Non-Markovian World: The Case of Maternal and Child Healthcare., , , , and . IJCAI, page 5950-5958. ijcai.org, (2023)Collapsing Bandits and Their Application to Public Health Intervention., , , , and . NeurIPS, (2020)Collapsing Bandits and Their Application to Public Health Interventions., , , , and . CoRR, (2020)Learning to Prescribe Interventions for Tuberculosis Patients Using Digital Adherence Data., , , , , and . KDD, page 2430-2438. ACM, (2019)Envisioning Communities: A Participatory Approach Towards AI for Social Good., , , and . AIES, page 425-436. ACM, (2021)Beyond "To Act or Not to Act": Fast Lagrangian Approaches to General Multi-Action Restless Bandits., , and . AAMAS, page 710-718. ACM, (2021)Networked Restless Multi-Armed Bandits for Mobile Interventions., , , , , , and . AAMAS, page 1001-1009. International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS), (2022)Robust Restless Bandits: Tackling Interval Uncertainty with Deep Reinforcement Learning., , , and . CoRR, (2021)