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Milind Tambe

Google Research, India

Selective Intervention Planning using Restless Multi-Armed Bandits to Improve Maternal and Child Health Outcomes


Apr 05, 2021
Siddharth Nishtala, Lovish Madaan, Aditya Mate, Harshavardhan Kamarthi, Anirudh Grama, Divy Thakkar, Dhyanesh Narayanan, Suresh Chaudhary, Neha Madhiwalla, Ramesh Padmanabhan, Aparna Hegde, Pradeep Varakantham, Balaraman Ravindran, Milind Tambe

* 7 pages. Camera-ready version for AASG 2021 Workshop 

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Selective Intervention Planning using RMABs: Increasing Program Engagement to Improve Maternal and Child Health Outcomes


Mar 18, 2021
Siddharth Nishtala, Lovish Madaan, Harshavardhan Kamarthi, Anirudh Grama, Divy Thakkar, Dhyanesh Narayanan, Suresh Chaudhary, Neha Madhiwalla, Ramesh Padmanabhan, Aparna Hegde, Pradeep Varakantham, Balaraman Ravindran, Milind Tambe

* 7 pages. This article supersedes arXiv:2006.07590 

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Efficient Algorithms for Finite Horizon and Streaming Restless Multi-Armed Bandit Problems


Mar 08, 2021
Aditya Mate, Arpita Biswas, Christoph Siebenbrunner, Milind Tambe


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Active Screening for Recurrent Diseases: A Reinforcement Learning Approach


Jan 27, 2021
Han-Ching Ou, Haipeng Chen, Shahin Jabbari, Milind Tambe

* The short version of this paper appears in the proceedings of AAMAS-21 

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Efficient Reservoir Management through Deep Reinforcement Learning


Dec 07, 2020
Xinrun Wang, Tarun Nair, Haoyang Li, Yuh Sheng Reuben Wong, Nachiket Kelkar, Srinivas Vaidyanathan, Rajat Nayak, Bo An, Jagdish Krishnaswamy, Milind Tambe

* 5 pages, 4 figures, Workshop paper 

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Enhancing Poaching Predictions for Under-Resourced Wildlife Conservation Parks Using Remote Sensing Imagery


Nov 20, 2020
Rachel Guo, Lily Xu, Drew Cronin, Francis Okeke, Andrew Plumptre, Milind Tambe

* Presented at NeurIPS 2020 Workshop on Machine Learning for the Developing World. 4 pages, 1 page references. 4 figures, 1 table 

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Measuring Data Collection Quality for Community Healthcare


Nov 13, 2020
Ramesha Karunasena, Mohammad Sarparajul Ambiya, Arunesh Sinha, Ruchit Nagar, Saachi Dalal, Divy Thakkar, Milind Tambe


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Dual-Mandate Patrols: Multi-Armed Bandits for Green Security


Sep 14, 2020
Lily Xu, Elizabeth Bondi, Fei Fang, Andrew Perrault, Kai Wang, Milind Tambe

* 9 pages (paper and references), 3 page appendix. 6 figures and 1 table 

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Tracking disease outbreaks from sparse data with Bayesian inference


Sep 12, 2020
Bryan Wilder, Michael J. Mina, Milind Tambe


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Missed calls, Automated Calls and Health Support: Using AI to improve maternal health outcomes by increasing program engagement


Jul 06, 2020
Siddharth Nishtala, Harshavardhan Kamarthi, Divy Thakkar, Dhyanesh Narayanan, Anirudh Grama, Aparna Hegde, Ramesh Padmanabhan, Neha Madhiwalla, Suresh Chaudhary, Balaraman Ravindran, Milind Tambe


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Collapsing Bandits and Their Application to Public Health Interventions


Jul 05, 2020
Aditya Mate, Jackson A. Killian, Haifeng Xu, Andrew Perrault, Milind Tambe


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Automatically Learning Compact Quality-aware Surrogates for Optimization Problems


Jun 18, 2020
Kai Wang, Bryan Wilder, Andrew Perrault, Milind Tambe


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Fair Influence Maximization: A Welfare Optimization Approach


Jun 14, 2020
Aida Rahmattalabi, Shahin Jabbari, Himabindu Lakkaraju, Phebe Vayanos, Eric Rice, Milind Tambe


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AI for Social Impact: Learning and Planning in the Data-to-Deployment Pipeline


Dec 16, 2019
Andrew Perrault, Fei Fang, Arunesh Sinha, Milind Tambe

* To appear, AI Magazine 

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Solving Online Threat Screening Games using Constrained Action Space Reinforcement Learning


Nov 20, 2019
Sanket Shah, Arunesh Sinha, Pradeep Varakantham, Andrew Perrault, Milind Tambe

* Accepted to the Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI-20) 

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MIPaaL: Mixed Integer Program as a Layer


Jul 17, 2019
Aaron Ferber, Bryan Wilder, Bistra Dilkina, Milind Tambe


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Learning policies for Social network discovery with Reinforcement learning


Jul 08, 2019
Harshavardhan Kamarthi, Priyesh Vijayan, Bryan Wilder, Balaraman Ravindran, Milind Tambe


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End to end learning and optimization on graphs


May 31, 2019
Bryan Wilder, Eric Ewing, Bistra Dilkina, Milind Tambe


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Stay Ahead of Poachers: Illegal Wildlife Poaching Prediction and Patrol Planning Under Uncertainty with Field Test Evaluations


Mar 08, 2019
Shahrzad Gholami, Lily Xu, Sara Mc Carthy, Bistra Dilkina, Andrew Plumptre, Milind Tambe, Rohit Singh, Mustapha Nsubuga, Joshua Mabonga, Margaret Driciru, Fred Wanyama, Aggrey Rwetsiba, Tom Okello, Eric Enyel

* 9 pages, 10 figures 

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Decision-Focused Learning of Adversary Behavior in Security Games


Mar 03, 2019
Andrew Perrault, Bryan Wilder, Eric Ewing, Aditya Mate, Bistra Dilkina, Milind Tambe


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Learning to Prescribe Interventions for Tuberculosis Patients using Digital Adherence Data


Feb 05, 2019
Jackson A. Killian, Bryan Wilder, Amit Sharma, Vinod Choudhary, Bistra Dilkina, Milind Tambe

* 9 pages, 5 figures 

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Melding the Data-Decisions Pipeline: Decision-Focused Learning for Combinatorial Optimization


Sep 14, 2018
Bryan Wilder, Bistra Dilkina, Milind Tambe

* 10 pages, 6 figures 

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Decentralized dynamic task allocation for UAVs with limited communication range


Aug 31, 2018
Marc Pujol-Gonzalez, Jesus Cerquides, Pedro Meseguer, Juan A. Rodriguez-Aguilar, Milind Tambe


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Mitigating the Curse of Correlation in Security Games by Entropy Maximization


Jan 03, 2018
Haifeng Xu, Milind Tambe, Shaddin Dughmi, Venil Loyd Noronha


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