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Milind Tambe

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Efficient Public Health Intervention Planning Using Decomposition-Based Decision-Focused Learning

Mar 08, 2024
Sanket Shah, Arun Suggala, Milind Tambe, Aparna Taneja

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A Decision-Language Model (DLM) for Dynamic Restless Multi-Armed Bandit Tasks in Public Health

Feb 23, 2024
Nikhil Behari, Edwin Zhang, Yunfan Zhao, Aparna Taneja, Dheeraj Nagaraj, Milind Tambe

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Social Environment Design

Feb 21, 2024
Edwin Zhang, Sadie Zhao, Tonghan Wang, Safwan Hossain, Henry Gasztowtt, Stephan Zheng, David C. Parkes, Milind Tambe, Yiling Chen

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Evaluating the Effectiveness of Index-Based Treatment Allocation

Feb 19, 2024
Niclas Boehmer, Yash Nair, Sanket Shah, Lucas Janson, Aparna Taneja, Milind Tambe

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A Bayesian Approach to Online Learning for Contextual Restless Bandits with Applications to Public Health

Feb 07, 2024
Biyonka Liang, Lily Xu, Aparna Taneja, Milind Tambe, Lucas Janson

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Toward Computationally Efficient Inverse Reinforcement Learning via Reward Shaping

Dec 18, 2023
Lauren H. Cooke, Harvey Klyne, Edwin Zhang, Cassidy Laidlaw, Milind Tambe, Finale Doshi-Velez

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Analyzing and Predicting Low-Listenership Trends in a Large-Scale Mobile Health Program: A Preliminary Investigation

Nov 13, 2023
Arshika Lalan, Shresth Verma, Kumar Madhu Sudan, Amrita Mahale, Aparna Hegde, Milind Tambe, Aparna Taneja

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Towards Zero Shot Learning in Restless Multi-armed Bandits

Oct 23, 2023
Yunfan Zhao, Nikhil Behari, Edward Hughes, Edwin Zhang, Dheeraj Nagaraj, Karl Tuyls, Aparna Taneja, Milind Tambe

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Equitable Restless Multi-Armed Bandits: A General Framework Inspired By Digital Health

Aug 17, 2023
Jackson A. Killian, Manish Jain, Yugang Jia, Jonathan Amar, Erich Huang, Milind Tambe

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Reflections from the Workshop on AI-Assisted Decision Making for Conservation

Jul 17, 2023
Lily Xu, Esther Rolf, Sara Beery, Joseph R. Bennett, Tanya Berger-Wolf, Tanya Birch, Elizabeth Bondi-Kelly, Justin Brashares, Melissa Chapman, Anthony Corso, Andrew Davies, Nikhil Garg, Angela Gaylard, Robert Heilmayr, Hannah Kerner, Konstantin Klemmer, Vipin Kumar, Lester Mackey, Claire Monteleoni, Paul Moorcroft, Jonathan Palmer, Andrew Perrault, David Thau, Milind Tambe

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