Milind Tambe
Milind Tambe is Principal Scientist and Director of "AI for Social Good" at Google Deepmind; concurrently, he is also Gordon McKay Professor of Computer Science and Director of Center for Research in Computation and Society at Harvard University. He is recipient of the AAAI (Association for Advancement of AI) Award for Artificial Intelligence for the Benefit of Humanity, IJCAI (International Joint Conference on AI) John McCarthy Award, AAAI Feigenbaum prize, ACM/SIGAI Autonomous Agents Research Award from AAMAS (Autonomous Agents and Multiagent Systems Conference), AAAI Robert S Engelmore Memorial Lecture award, INFORMS Wagner prize, the MORS (Military Operations Research Society) Rist Prize. He is a fellow of AAAI and ACM. For his work in AI and public safety, he has received the Columbus Foundation Homeland Security Award, and meritorious Team Commendation from the US Coast Guard and LA Airport Police, and Certificate of Appreciation from US Federal Air Marshals Service for pioneering real-world deployments of security games. Prof. Tambe's papers have received either best paper awards or best paper finalist recognition 30 times at conferences such as AAAI, AAMAS, IJCAI and others. Prof. Tambe and his team have developed pioneering AI systems that deliver real-world impact in public health (e.g., maternal and child health), public safety, and wildlife conservation.
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Google
Analyzing and Predicting Low-Listenership Trends in a Large-Scale Mobile Health Program: A Preliminary Investigation
Arshika Lalan
Shresth Verma
Kumar Madhu Sudan
Amrita Mahale
Aparna Hegde
The Workshop in Data Science for Social Good, KDD 2023 (2023)
Flexible Budgets in Restless Bandits: A Primal-Dual Algorithm for Efficient Budget Allocation
Jackson Killian
Lily Xu
Paula Rodriguez Diaz
AAAI 2023 (to appear)
Deployed SAHELI: Field Optimization of Intelligent RMAB for Maternal and Child Care
Shresth Verma
Aditya S. Mate
Paritosh Verma
Sruthi Gorantala
Neha Madhiwalla
Aparna Hegde
Manish Jain
Innovative Applications of Artificial Intelligence (IAAI) (2023) (to appear)
Adherence Bandits
Jackson A. Killian*
Arshika Lalan*
Aditya Mate*
Manish Jain
The Workshop on Artificial Intelligence for Social Good at AAAI 2023 (2023)
Indexibility is not Enough for Whittle: Improved Near-Optimal Algorithms for Restless Bandits
Abheek Ghosh
Manish Jain
Autonomous Agents and Multi Agent Systems (AAMAS) (2023)
Scalable Decision-Focused Learning in Restless Multi-Armed Bandits with Application to Maternal and Child Care
Kai Wang
Shresth Verma
Aditya S. Mate
Sanket Shah
Neha Madhiwalla
Aparna Hegde
AAAI 2023 (to appear)
Robust Planning over Restless Groups: Engagement Interventions for a Large-Scale Maternal Telehealth Program
Jackson Killian
Lily Xu
Arpita Biswas
Shresth Verma
Vineet Nair
Aparna Hegde
Neha Madhiwalla
Paula Rodriguez Diaz
Sonja Johnson-Yu
AAAI 2023 (to appear)
Field Study in Deploying Restless Multi-Armed Bandits: Assisting Non-Profits in Improving Maternal and Child Health
Aditya Mate
Lovish Madaan
Neha Madhiwalla
Shresth Verma
Aparna Hegde
Pradeep Varakantham
AAAI Conference on Artificial Intelligence (2022) (to appear)
