| Modeling between-population variation in COVID-19 dynamics in Hubei, Lombardy, and New York City B Wilder, M Charpignon, JA Killian, HC Ou, A Mate, S Jabbari, A Perrault, ... Proceedings of the National Academy of Sciences 117 (41), 25904-25910, 2020 | 78 | 2020 |
| Collapsing bandits and their application to public health intervention A Mate, J Killian, H Xu, A Perrault, M Tambe Advances in Neural Information Processing Systems 33, 15639-15650, 2020 | 75 | 2020 |
| The role of age distribution and family structure on COVID-19 dynamics: A preliminary modeling assessment for hubei and lombardy B Wilder, M Charpignon, JA Killian, HC Ou, A Mate, S Jabbari, A Perrault, ... Available at SSRN 3564800, 2020 | 47 | 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 | 46* | 2022 |
| End-to-end game-focused learning of adversary behavior in security games A Perrault, B Wilder, E Ewing, A Mate, B Dilkina, M Tambe Proceedings of the AAAI Conference on Artificial Intelligence 34 (02), 1378-1386, 2020 | 41* | 2020 |
| Sat Is an Effective and Complete Method for Solving Stable Matching Problems With Couples. J Drummond, A Perrault, F Bacchus IJCAI, 518-525, 2015 | 41 | 2015 |
| Risk-Aware Interventions in Public Health: Planning with Restless Multi-Armed Bandits. A Mate, A Perrault, M Tambe AAMAS, 880-888, 2021 | 40 | 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 |
| Beyond" to act or not to act": Fast lagrangian approaches to general multi-action restless bandits JA Killian, A Perrault, M Tambe Proceedings of the 20th International Conference on Autonomous Agents and …, 2021 | 36 | 2021 |
| Automatically learning compact quality-aware surrogates for optimization problems K Wang, B Wilder, A Perrault, M Tambe Advances in Neural Information Processing Systems 33, 9586-9596, 2020 | 34 | 2020 |
| Dual-mandate patrols: Multi-armed bandits for green security L Xu, E Bondi, F Fang, A Perrault, K Wang, M Tambe Proceedings of the AAAI Conference on Artificial Intelligence 35 (17), 14974 …, 2021 | 33 | 2021 |
| Coordinating followers to reach better equilibria: End-to-end gradient descent for stackelberg games K Wang, L Xu, A Perrault, MK Reiter, M Tambe Proceedings of the AAAI Conference on Artificial Intelligence 36 (5), 5219-5227, 2022 | 30 | 2022 |
| Artificial intelligence for social impact: Learning and planning in the data-to-deployment pipeline A Perrault, F Fang, A Sinha, M Tambe AI Magazine 41 (4), 3-16, 2020 | 25 | 2020 |
| Robust reinforcement learning under minimax regret for green security L Xu, A Perrault, F Fang, H Chen, M Tambe Uncertainty in Artificial Intelligence, 257-267, 2021 | 24 | 2021 |
| Scalable Game-Focused Learning of Adversary Models: Data-to-Decisions in Network Security Games. K Wang, A Perrault, A Mate, M Tambe AAMAS, 1449-1457, 2020 | 19 | 2020 |
| 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 COVID-19 lockdown and business-sector-specific reopening policies for three US states JA Killian, M Charpignon, B Wilder, A Perrault, M Tambe, MS Majumder Available at SSRN 3598744, 2020 | 12* | 2020 |
| Designing efficient contact tracing through Risk-Based Quarantining A Perrault, M Charpignon, J Gruber, M Tambe, M Majumder National Bureau of Economic Research, 2020 | 11 | 2020 |
| Who and when to screen: Multi-round active screening for network recurrent infectious diseases under uncertainty HC Ou, A Sinha, SC Suen, A Perrault, A Raval, M Tambe ACM, 2020 | 11 | 2020 |
Milind TambeProfessor & Director CRCS Center @Harvard; Director "AI for Social Good" @Google ResearchOverená e-mailová adresa na: harvard.edu
