| Neural Approximate Dynamic Programming for On-Demand Ride-Pooling S Shah, M Lowalekar, P Varakantham Proceedings of the AAAI Conference on Artificial Intelligence 34 (01), 507-515, 2020 | 95 | 2020 |
| Decision-Focused Learning without Differentiable Optimization: Learning Locally Optimized Decision Losses S Shah, K Wang, B Wilder, A Perrault, M Tambe Advances in Neural Information Processing Systems 35, 1320--1332, 2022 | 49* | 2022 |
| Q-learning Lagrange policies for multi-action restless bandits JA Killian, A Biswas, S Shah, M Tambe Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021 | 47 | 2021 |
| Learning mdps from features: Predict-then-optimize for sequential decision making by reinforcement learning K Wang, S Shah, H Chen, A Perrault, F Doshi-Velez, M Tambe Advances in Neural Information Processing Systems 34, 8795-8806, 2021 | 37 | 2021 |
| 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 |
| Data-Driven Methods for Balancing Fairness and Efficiency in Ride-Pooling N Raman, S Shah, J Dickerson Proceedings of the Thirtieth International Joint Conference on Artificial …, 2021 | 24 | 2021 |
| Solving online threat screening games using constrained action space reinforcement learning S Sanket, A Sinha, P Varakantham, P Andrew, M Tambe Proceedings of the AAAI Conference on Artificial Intelligence 34 (02), 2226-2235, 2020 | 19 | 2020 |
| Leaving the nest: Going beyond local loss functions for predict-then-optimize S Shah, B Wilder, A Perrault, M Tambe Proceedings of the AAAI Conference on Artificial Intelligence 38 (13), 14902 …, 2024 | 13 | 2024 |
| Evaluating the effectiveness of index-based treatment allocation N Boehmer, Y Nair, S Shah, L Janson, A Taneja, M Tambe arXiv preprint arXiv:2402.11771, 2024 | 4 | 2024 |
| Joint Pricing and Matching for City-Scale Ride-Pooling S Shah, M Lowalekar, P Varakantham Proceedings of the International Conference on Automated Planning and …, 2022 | 3 | 2022 |
| FairVizARD: A visualization system for assessing fairness of ride-sharing matching algorithms A Kumar, S Shah, M Lowalekar, P Varakantham, A Ottley, W Yeoh Proc. Int. Conf. Automated Plan. Scheduling, 2021 | 2 | 2021 |
| Efficient Public Health Intervention Planning Using Decomposition-Based Decision-Focused Learning S Shah, A Suggala, M Tambe, A Taneja arXiv preprint arXiv:2403.05683, 2024 | 1 | 2024 |
| Preliminary Results in Low-Listenership Prediction in One of the Largest Mobile Health Programs in the World S Shah, S Verma, A Mahale, KM Sudan, A Hegde, A Taneja, M Tambe AAMAS 2023 Workshop on Autonomous Agents for Social Good, 2023 | | 2023 |
Milind TambeProfessor & Director CRCS Center @Harvard; Director "AI for Social Good" @Google ResearchOverená e-mailová adresa na: harvard.edu