| Value of information in bayesian routing games M Wu, S Amin, AE Ozdaglar Operations Research 69 (1), 148-163, 2021 | 51* | 2021 |
| Information design for regulating traffic flows under uncertain network state M Wu, S Amin 2019 57th Annual Allerton Conference on Communication, Control, and …, 2019 | 26 | 2019 |
| Informational aspects in a class of Bayesian congestion games M Wu, J Liu, S Amin 2017 American Control Conference (ACC), 3650-3657, 2017 | 24 | 2017 |
| Learning an unknown network state in routing games M Wu, S Amin IFAC-PapersOnLine 52 (20), 345-350, 2019 | 12 | 2019 |
| Independent and decentralized learning in markov potential games C Maheshwari, M Wu, D Pai, S Sastry arXiv preprint arXiv:2205.14590, 2022 | 10 | 2022 |
| Stochastic customer order scheduling to minimize long-run expected order cycle time X Xu, Y Zhao, M Wu, Z Zhou, Y Ma, Y Liu Annals of Operations Research, 1-24, 2016 | 10 | 2016 |
| Dynamic tolling for inducing socially optimal traffic loads C Maheshwari, K Kulkarni, M Wu, SS Sastry 2022 American Control Conference (ACC), 4601-4607, 2022 | 9 | 2022 |
| Signaling game-based misbehavior inspection in v2i-enabled highway operations M Wu, L Jin, S Amin, P Jaillet 2018 IEEE Conference on Decision and Control (CDC), 2728-2734, 2018 | 9 | 2018 |
| Securing infrastructure facilities: When does proactive defense help? M Wu, S Amin Dynamic Games and Applications 9, 984-1025, 2019 | 8 | 2019 |
| Inducing social optimality in games via adaptive incentive design C Maheshwari, K Kulkarni, M Wu, SS Sastry 2022 IEEE 61st Conference on Decision and Control (CDC), 2864-2869, 2022 | 6 | 2022 |
| Stochastic customer order scheduling to maximize throughput X Xu, Y Zhao, H Li, M Wu 2015 IEEE International Conference on Automation Science and Engineering …, 2015 | 6 | 2015 |
| Pursuit of a discriminative representation for multiple subspaces via sequential games D Pai, M Psenka, CY Chiu, M Wu, E Dobriban, Y Ma arXiv preprint arXiv:2206.09120, 2022 | 5 | 2022 |
| Multi-agent Bayesian Learning with Adaptive Strategies: Convergence and Stability M Wu, S Amin, A Ozdaglar arXiv preprint arXiv:2010.09128, 2020 | 3 | 2020 |
| Bayesian learning with adaptive load allocation strategies M Wu, S Amin, A Ozdaglar Learning for Dynamics and Control, 561-570, 2020 | 3 | 2020 |
| Security of transportation networks: Modeling attacker-defender interaction M Wu, S Amin arXiv preprint arXiv:1804.00391, 2018 | 3 | 2018 |
| Multi-agent Bayesian Learning with Best Response Dynamics: Convergence and Stability M Wu, S Amin, A Ozdaglar arXiv preprint arXiv:2109.00719, 2021 | 2 | 2021 |
| Optimal Testing Strategy for Containing COVID-19: A Case-Study on Indian Migrant Worker Population M Wu, D Shelar, R Gopalakrishnan, S Amin 2021 American Control Conference (ACC), 3145-3151, 2021 | 2 | 2021 |
| Information, Learning and Incentive Design for Urban Transportation Networks M Wu Massachusetts Institute of Technology, 2021 | 2 | 2021 |
| Markov -Potential Games: Equilibrium Approximation and Regret Analysis X Guo, X Li, C Maheshwari, S Sastry, M Wu arXiv preprint arXiv:2305.12553, 2023 | 1 | 2023 |
| Interpretable Machine Learning Models for Modal Split Prediction in Transportation Systems A Brenner, M Wu, S Amin 2022 IEEE 25th International Conference on Intelligent Transportation …, 2022 | 1 | 2022 |
Saurabh AminMassachusetts Institute of TechnologyVerified email at mit.edu
