| Strategic coordination of human patrollers and mobile sensors with signaling for security games H Xu, K Wang, P Vayanos, M Tambe Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 34 | 2018 |
| 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 | 28 | 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 | 27 | 2020 |
| Learning MDPs from Features: Predict-Then-Optimize for Sequential Decision Problems by Reinforcement Learning K Wang, S Shah, H Chen, A Perrault, F Doshi-Velez, M Tambe arXiv preprint arXiv:2106.03279, 2021 | 23* | 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 | 22 | 2022 |
| DeepFP for finding Nash equilibrium in continuous action spaces N Kamra, U Gupta, K Wang, F Fang, Y Liu, M Tambe Decision and Game Theory for Security: 10th International Conference …, 2019 | 18 | 2019 |
| 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 | 16 | 2023 |
| Decision-focused learning without decision-making: 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 | 15 | 2022 |
| 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 | 15 | 2020 |
| Learning to signal in the goldilocks zone: Improving adversary compliance in security games S Cooney, K Wang, E Bondi, T Nguyen, P Vayanos, H Winetrobe, ... Machine Learning and Knowledge Discovery in Databases: European Conference …, 2020 | 15 | 2020 |
| Deep fictitious play for games with continuous action spaces N Kamra, U Gupta, K Wang, F Fang, Y Liu, M Tambe Proceedings of the 18th International Conference on Autonomous Agents and …, 2019 | 13 | 2019 |
| Improving GP-UCB algorithm by harnessing decomposed feedback K Wang, B Wilder, S Suen, B Dilkina, M Tambe Machine Learning and Knowledge Discovery in Databases: International …, 2020 | 8 | 2020 |
| Optimistic whittle index policy: Online learning for restless bandits K Wang, L Xu, A Taneja, M Tambe Proceedings of the AAAI Conference on Artificial Intelligence 37 (8), 10131 …, 2023 | 5 | 2023 |
| Decision-focused learning without differentiable optimization: Learning locally optimized decision losses S Shah, K Wang, B Wilder, A Perrault, M Tambe arXiv preprint arXiv:2203.16067, 2022 | 5 | 2022 |
| 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 | 4 | 2023 |
| Robust Spatial-Temporal Incident Prediction A Mukhopadhyay, K Wang, A Perrault, M Kochenderfer, M Tambe, ... Conference on Uncertainty in Artificial Intelligence, 360-369, 2020 | 4 | 2020 |
| Equilibrium Refinement in Security Games with Arbitrary Scheduling Constraints. K Wang, Q Guo, P Vayanos, M Tambe, B An AAMAS, 919-927, 2018 | 3 | 2018 |
| The price of usability: Designing operationalizable strategies for security games SM McCARTHY, CM Laan, K Wang, P Vayanos, A Sinha, M Tambe IJCAI, 2018 | 3 | 2018 |
| Mobile game theory with street gangs S Cooney, W Gomez, K Wang, J Leap, PJ Brantingham, M Tambe Machine Learning and Knowledge Discovery in Databases: International …, 2020 | 2 | 2020 |
| Using Graph Convolutional Networks to Learn Interdiction Games K Wang, A Mate, B Wilder, A Perrault, M Tambe AI for Social Good Workshop, International Joint Conference on Artificial …, 2019 | 2 | 2019 |
Milind TambeProfessor & Director CRCS Center @Harvard; Director "AI for Social Good" @Google ResearchVerified email at harvard.edu
