PPaperPicks

Milind Tambe

Harvard University, Cambridge, MA, USA

35 papers at tracked venues · 21 at CORE A* · active 2024–2026

DBLP profile ↗ORCID 0000-0003-3296-3672 ↗Google Scholar ↗Homepage ↗

Venues

AAAI ×11AAMAS ×7NeurIPS ×4ECAI ×3ICLR ×3ICML ×3UAI ×3IJCAI ×1

Frequent coauthors

Aparna Taneja
×14
Niclas Boehmer
×7
Yunfan Zhao
×7
Lingkai Kong
×6
Tonghan Wang
×6
Edwin Zhang
×6
Shresth Verma
×5
Sanket Shah
×5
Haichuan Wang
×4
Guojun Xiong
×4
Dheeraj Nagaraj
×4
Lily Xu
×3

Papers

  1. Generative AI Against Poaching: Latent Composite Flow Matching for Poaching Prediction
    AAAI 2026 ·
    Lingkai Kong
    ,
    Haichuan Wang
    ,
    Charles A. Emogor
    ,
    Vincent Börsch-Supan
    ,
    Lily Xu
    , Milind Tambe
  2. Optimizing Health Coverage in Ethiopia: A Learning-augmented Approach and Persistent Proportionality Under an Online Budget
    AAAI 2026 ·
    Davin Choo
    ,
    Yohai Trabelsi
    ,
    Fentabil Getnet
    ,
    Samson Warkaye Lamma
    ,
    Wondesen Nigatu
    ,
    Kasahun Sime
    ,
    Lisa Matay
    , Milind Tambe,
    Stéphane Verguet
  3. Preference Robustness for DPO with Applications to Public Health
    AAAI 2026 ·
    Cheol Woo Kim
    ,
    Shresth Verma
    ,
    Mauricio Tec
    , Milind Tambe
  4. VORTEX: Aligning Task Utility and Human Preferences Through LLM-Guided Reward Shaping
    AAAI 2026 ·
    Guojun Xiong
    , Milind Tambe
  5. Adaptive Frontier Exploration on Graphs with Applications to Network-Based Disease Testing
    NeurIPS 2025 ·
    Davin Choo
    ,
    Yuqi Pan
    ,
    Tonghan Wang
    , Milind Tambe,
    Alastair van Heerden
    ,
    Cheryl Johnson
  6. Bayesian Collaborative Bandits with Thompson Sampling for Improved Outreach in Maternal Health
    AAMAS 2025 ·
    Arpan Dasgupta
    ,
    Gagan Jain
    ,
    Arun Suggala
    ,
    Karthikeyan Shanmugam
    , Milind Tambe,
    Aparna Taneja
  7. Beyond Listenership: AI-Predicted Interventions Drive Improvements in Maternal Health Behaviours
    ECAI 2025 ·
    Arpan Dasgupta
    ,
    Sarvesh Gharat
    ,
    Neha Madhiwalla
    ,
    Aparna Hegde
    , Milind Tambe,
    Aparna Taneja
  8. Composite Flow Matching for Reinforcement Learning with Shifted-Dynamics Data
    NeurIPS 2025 ·
    Lingkai Kong
    ,
    Haichuan Wang
    ,
    Tonghan Wang
    ,
    Guojun Xiong
    , Milind Tambe
  9. Context in Public Health for Underserved Communities: A Bayesian Approach to Online Restless Bandits
    AAAI 2025 ·
    Biyonka Liang
    ,
    Lily Xu
    ,
    Aparna Taneja
    , Milind Tambe,
    Lucas Janson
  10. Evaluating Index-based Treatment Allocation in Underresourced Communities
    AAAI 2025 ·
    Niclas Boehmer
    ,
    Yash Nair
    ,
    Sanket Shah
    ,
    Lucas Janson
    ,
    Aparna Taneja
    , Milind Tambe
  11. Finite-Horizon Single-Pull Restless Bandits: An Efficient Index Policy For Scarce Resource Allocation
    AAMAS 2025 ·
    Guojun Xiong
    ,
    Haichuan Wang
    ,
    Yuqi Pan
    ,
    Saptarshi Mandal
    ,
    Sanket Shah
    ,
    Niclas Boehmer
    , Milind Tambe
  12. Navigating the Social Welfare Frontier: Portfolios for Multi-objective Reinforcement Learning
    ICML 2025 ·
    Cheol Woo Kim
    ,
    Jai Moondra
    ,
    Shresth Verma
    ,
    Madeleine Pollack
    ,
    Lingkai Kong
    , Milind Tambe,
    Swati Gupta
  13. On Diffusion Models for Multi-Agent Partial Observability: Shared Attractors, Error Bounds, and Composite Flow
    AAMAS 2025 ·
    Tonghan Wang
    ,
    Heng Dong
    ,
    Yanchen Jiang
    ,
    David C. Parkes
    , Milind Tambe
  14. Optimizing Vital Sign Monitoring in Resource-Constrained Maternal Care: An RL-Based Restless Bandit Approach
    AAAI 2025 ·
    Niclas Boehmer
    ,
    Yunfan Zhao
    ,
    Guojun Xiong
    ,
    Paula Rodriguez Diaz
    ,
    Paola Del Cueto Cibrian
    ,
    Joseph Ngonzi
    ,
    Adeline Boatin
    , Milind Tambe
  15. PRIORITY2REWARD: Incorporating Healthworker Preferences for Resource Allocation Planning
    AAAI 2025 ·
    Shresth Verma
    ,
    Alayna Nguyen
    ,
    Niclas Boehmer
    ,
    Lingkai Kong
    , Milind Tambe
  16. Reinforcement learning with combinatorial actions for coupled restless bandits
    ICLR 2025 ·
    Lily Xu
    ,
    Bryan Wilder
    ,
    Elias Boutros Khalil
    , Milind Tambe
  17. Robust Optimization with Diffusion Models for Green Security
    UAI 2025 ·
    Lingkai Kong
    ,
    Haichuan Wang
    ,
    Yuqi Pan
    ,
    Cheol Woo Kim
    ,
    Mingxiao Song
    ,
    Alayna Nguyen
    ,
    Tonghan Wang
    ,
    Haifeng Xu
    , Milind Tambe
  18. The Bandit Whisperer: Communication Learning for Restless Bandits
    AAAI 2025 ·
    Yunfan Zhao
    ,
    Tonghan Wang
    ,
    Dheeraj Mysore Nagaraj
    ,
    Aparna Taneja
    , Milind Tambe
  19. Towards Foundation-model-based Multiagent System to Accelerate AI for Social Impact
    AAMAS 2025 ·
    Yunfan Zhao
    ,
    Niclas Boehmer
    ,
    Aparna Taneja
    , Milind Tambe
  20. What is the Right Notion of Distance between Predict-then-Optimize Tasks?
    UAI 2025 ·
    Paula Rodriguez Diaz
    ,
    Lingkai Kong
    ,
    Kai Wang
    ,
    David Alvarez-Melis
    , Milind Tambe
  21. A Decision-Language Model (DLM) for Dynamic Restless Multi-Armed Bandit Tasks in Public Health
    NeurIPS 2024 ·
    Nikhil Behari
    ,
    Edwin Zhang
    ,
    Yunfan Zhao
    ,
    Aparna Taneja
    ,
    Dheeraj Nagaraj
    , Milind Tambe
  22. Combining Diverse Information for Coordinated Action: Stochastic Bandit Algorithms for Heterogeneous Agents
    ECAI 2024 ·
    Lucia Gordon
    ,
    Esther Rolf
    , Milind Tambe
  23. Efficient Public Health Intervention Planning Using Decomposition-Based Decision-focused Learning
    AAMAS 2024 ·
    Sanket Shah
    ,
    Arun Suggala
    , Milind Tambe,
    Aparna Taneja
  24. Escape Sensing Games: Detection-vs-Evasion in Security Applications
    ECAI 2024 ·
    Niclas Boehmer
    ,
    Minbiao Han
    ,
    Haifeng Xu
    , Milind Tambe
  25. Group Fairness in Predict-Then-Optimize Settings for Restless Bandits
    UAI 2024 ·
    Shresth Verma
    ,
    Yunfan Zhao
    ,
    Sanket Shah
    ,
    Niclas Boehmer
    ,
    Aparna Taneja
    , Milind Tambe
  26. Improving Health Information Access in the World's Largest Maternal Mobile Health Program via Bandit Algorithms
    AAAI 2024 ·
    Arshika Lalan
    ,
    Shresth Verma
    ,
    Paula Rodriguez Diaz
    ,
    Panayiotis Danassis
    ,
    Amrita Mahale
    ,
    Kumar Madhu Sudan
    ,
    Aparna Hegde
    , Milind Tambe,
    Aparna Taneja
  27. Improving Mobile Maternal and Child Health Care Programs: Collaborative Bandits for Time Slot Selection
    AAMAS 2024 ·
    Soumyabrata Pal
    , Milind Tambe,
    Arun Suggala
    ,
    Karthikeyan Shanmugam
    ,
    Aparna Taneja
  28. Leaving the Nest: Going beyond Local Loss Functions for Predict-Then-Optimize
    AAAI 2024 ·
    Sanket Shah
    ,
    Bryan Wilder
    ,
    Andrew Perrault
    , Milind Tambe
  29. Position: Application-Driven Innovation in Machine Learning
    ICML 2024 ·
    David Rolnick
    ,
    Alán Aspuru-Guzik
    ,
    Sara Beery
    ,
    Bistra Dilkina
    ,
    Priya L. Donti
    ,
    Marzyeh Ghassemi
    ,
    Hannah Kerner
    ,
    Claire Monteleoni
    ,
    Esther Rolf
    , Milind Tambe,
    Adam White
  30. Position: Social Environment Design Should be Further Developed for AI-based Policy-Making
    ICML 2024 ·
    Edwin Zhang
    ,
    Sadie Zhao
    ,
    Tonghan Wang
    ,
    Safwan Hossain
    ,
    Henry Gasztowtt
    ,
    Stephan Zheng
    ,
    David C. Parkes
    , Milind Tambe,
    Yiling Chen
  31. Toward Computationally Efficient Inverse Reinforcement Learning via Reward Shaping
    ICLR 2024 ·
    Lauren H. Cooke
    ,
    Harvey Klyne
    ,
    Edwin Zhang
    ,
    Cassidy Laidlaw
    , Milind Tambe,
    Finale Doshi-Velez
  32. Towards Fairness constrained Restless Multi-Armed Bandits: a Case Study of Maternal and child Care Domain
    ICLR 2024 ·
    Gargi Singh
    , Milind Tambe,
    Aparna Taneja
  33. Towards Zero Shot Learning in Restless Multi-armed Bandits
    AAMAS 2024 ·
    Yunfan Zhao
    ,
    Nikhil Behari
    ,
    Edward Hughes
    ,
    Edwin Zhang
    ,
    Dheeraj Nagaraj
    ,
    Karl Tuyls
    ,
    Aparna Taneja
    , Milind Tambe
  34. Towards a Pretrained Model for Restless Bandits via Multi-arm Generalization
    IJCAI 2024 ·
    Yunfan Zhao
    ,
    Nikhil Behari
    ,
    Edward Hughes
    ,
    Edwin Zhang
    ,
    Dheeraj Nagaraj
    ,
    Karl Tuyls
    ,
    Aparna Taneja
    , Milind Tambe
  35. Transcendence: Generative Models Can Outperform The Experts That Train Them
    NeurIPS 2024 ·
    Edwin Zhang
    ,
    Vincent Zhu
    ,
    Naomi Saphra
    ,
    Anat Kleiman
    ,
    Benjamin L. Edelman
    , Milind Tambe,
    Sham M. Kakade
    ,
    Eran Malach