Manxi Wu
Cited by
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Value of information in bayesian routing games
M Wu, S Amin, AE Ozdaglar
Operations Research 69 (1), 148-163, 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
Informational aspects in a class of Bayesian congestion games
M Wu, J Liu, S Amin
2017 American Control Conference (ACC), 3650-3657, 2017
Learning an unknown network state in routing games
M Wu, S Amin
IFAC-PapersOnLine 52 (20), 345-350, 2019
Independent and decentralized learning in markov potential games
C Maheshwari, M Wu, D Pai, S Sastry
arXiv preprint arXiv:2205.14590, 2022
Dynamic tolling for inducing socially optimal traffic loads
C Maheshwari, K Kulkarni, M Wu, SS Sastry
2022 American Control Conference (ACC), 4601-4607, 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
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
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
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
Securing infrastructure facilities: When does proactive defense help?
M Wu, S Amin
Dynamic Games and Applications 9, 984-1025, 2019
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
Online Learning for Traffic Navigation in Congested Networks
S Gollapudi, K Kollias, C Maheshwari, M Wu
International Conference on Algorithmic Learning Theory, 642-662, 2023
Multi-agent Bayesian Learning with Adaptive Strategies: Convergence and Stability
M Wu, S Amin, A Ozdaglar
arXiv preprint arXiv:2010.09128, 2020
Bayesian learning with adaptive load allocation strategies
M Wu, S Amin, A Ozdaglar
Learning for Dynamics and Control, 561-570, 2020
Security of transportation networks: Modeling attacker-defender interaction
M Wu, S Amin
arXiv preprint arXiv:1804.00391, 2018
Information Design for Spatial Resource Allocation
O Candogan, M Wu
arXiv preprint arXiv:2307.08040, 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
Multi-agent Bayesian Learning with Best Response Dynamics: Convergence and Stability
M Wu, S Amin, A Ozdaglar
arXiv preprint arXiv:2109.00719, 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
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