| Field study in deploying restless multi-armed bandits: Assisting non-profits in improving maternal and child health A Mate, L Madaan, A Taneja, N Madhiwalla, S Verma, G Singh, A Hegde, ... Proceedings of the AAAI Conference on Artificial Intelligence 36 (11), 12017 …, 2022 | 91 | 2022 |
| Scalable decision-focused learning in restless multi-armed bandits with application to maternal and child health K Wang, S Verma, A Mate, S Shah, A Taneja, N Madhiwalla, A Hegde, ... Proceedings of the AAAI Conference on Artificial Intelligence 37 (10), 12138 …, 2023 | 30 | 2023 |
| Restless Multi-Armed Bandits for Maternal and Child Health: Results from Decision-Focused Learning. S Verma, A Mate, K Wang, N Madhiwalla, A Hegde, A Taneja, M Tambe AAMAS, 1312-1320, 2023 | 16 | 2023 |
| Expanding impact of mobile health programs: SAHELI for maternal and child care S Verma, G Singh, A Mate, P Verma, S Gorantla, N Madhiwalla, A Hegde, ... AI Magazine 44 (4), 363-376, 2023 | 12 | 2023 |
| Deep Reinforcement Learning for Single-Shot Diagnosis and Adaptation in Damaged Robots S Verma, HS Nair, G Agarwal, J Dhar, A Shukla Proceedings of the 7th ACM IKDD CoDS and 25th COMAD, 82-89, 2020 | 12 | 2020 |
| Increasing impact of mobile health programs: SAHELI for maternal and child care S Verma, G Singh, A Mate, P Verma, S Gorantla, N Madhiwalla, A Hegde, ... Proceedings of the AAAI Conference on Artificial Intelligence 37 (13), 15594 …, 2023 | 11 | 2023 |
| Robust planning over restless groups: engagement interventions for a large-scale maternal telehealth program JA Killian, A Biswas, L Xu, S Verma, V Nair, A Taneja, A Hegde, ... Proceedings of the AAAI Conference on Artificial Intelligence 37 (12), 14295 …, 2023 | 9 | 2023 |
| Limited Resource Allocation in a Non-Markovian World: The Case of Maternal and Child Healthcare P Danassis, S Verma, JA Killian, A Taneja, M Tambe Proceedings of the International Joint Conference on Artificial Intelligence …, 2023 | 8 | 2023 |
| Group Fairness in Predict-Then-Optimize Settings for Restless Bandits S Verma, Y Zhao, S Shah, N Boehmer, A Taneja, M Tambe The 40th Conference on Uncertainty in Artificial Intelligence, 2024 | 7 | 2024 |
| Emergence of Writing Systems through Multi-Agent Cooperation (Student Abstract) S Verma, J Dhar Proceedings of the AAAI Conference on Artificial Intelligence 34 (10), 13941 …, 2020 | 2 | 2020 |
| IIITM Face: A Database for Facial Attribute Detection in Constrained and Simulated Unconstrained Environments KV Arya, S Verma, RK Gupta, S Agarwal, P Gupta Proceedings of the 7th ACM IKDD CoDS and 25th COMAD, 185-189, 2020 | 2* | 2020 |
| Balancing Act: Prioritization Strategies for LLM-Designed Restless Bandit Rewards S Verma, N Boehmer, L Kong, M Tambe arXiv preprint arXiv:2408.12112, 2024 | 1 | 2024 |
| Improving Health Information Access in the World’s Largest Maternal Mobile Health Program via Bandit Algorithms AT Arshika Lalan, Shresth Verma, Paula Rodriguez Diaz, Panayiotis Danassis ... Proceedings of the AAAI Conference on Artificial Intelligence 38 (21), 2024 | 1 | 2024 |
| Case study: Applying decision focused learning in the real world S Verma, A Mate, K Wang, A Taneja, M Tambe Workshop on Trustworthy and Socially Responsible Machine Learning, NeurIPS 2022, 2022 | 1 | 2022 |
| Measuring Fairness in Financial Transaction Machine Learning Models C Mougan, DS Ayvaz, L Belenguer, H He, DD Kanubala, M Li, S Low, ... arXiv preprint arXiv:2501.10784, 2025 | | 2025 |
| PRIORITY2REWARD: Incorporating Healthworker Preferences for Resource Allocation Planning S Verma, A Nguyen, N Boehmer, L Kong, M Tambe AAAI Demo Track, 2025 | | 2025 |
| Leveraging AI to improve health information access in the World's largest maternal mobile health program S Verma, A Lalan, PR Diaz, P Danassis, A Mahale, KM Sudan, A Hegde, ... AI Magazine 45 (4), 526-536, 2024 | | 2024 |
| Towards Sample Efficient Learners in Population based Referential Games through Action Advising S Verma Proceedings of the 20th International Conference on Autonomous Agents and …, 2021 | | 2021 |
| Emergence of Multilingualism in Population based Referential Games S Verma 1st Workshop on Language in Reinforcement Learnin, ICML, 2020 | | 2020 |
| Prioritization Strategies for LLM-Designed Restless Bandit Rewards in Public Health S Verma, N Boehmer, L Kong, M Tambe GenAI for Health: Potential, Trust and Policy Compliance, 0 | | |
Milind TambeProfessor & Director CRCS Center @Harvard; Director "AI for Social Good" @Google ResearchOverená e-mailová adresa na: harvard.edu