Optimal defense policies for partially observable spreading processes on Bayesian attack graphs E Miehling, M Rasouli, D Teneketzis Proceedings of the Second ACM Workshop on Moving Target Defense (MTD), 67-76, 2015 | 114 | 2015 |
A POMDP approach to the dynamic defense of large-scale cyber networks E Miehling, M Rasouli, D Teneketzis IEEE Transactions on Information Forensics and Security 13 (10), 2490-2505, 2018 | 90 | 2018 |
A supervisory control approach to dynamic cyber-security M Rasouli, E Miehling, D Teneketzis International Conference on Decision and Game Theory for Security (GameSec …, 2014 | 38 | 2014 |
Non-cooperative inverse reinforcement learning X Zhang, K Zhang, E Miehling, T Başar Advances in Neural Information Processing Systems, 9482--9493, 2019 | 30 | 2019 |
Reinforcement learning in non-stationary discrete-time linear-quadratic mean-field games MA uz Zaman, K Zhang, E Miehling, T Başar arXiv preprint arXiv:2009.04350, 2020 | 27 | 2020 |
Information state embedding in partially observable cooperative multi-agent reinforcement learning W Mao, K Zhang, E Miehling, T Başar arXiv preprint arXiv:2004.01098, 2020 | 24 | 2020 |
Online planning for decentralized stochastic control with partial history sharing K Zhang, E Miehling, T Başar 2019 American Control Conference (ACC), 3544-3550, 2019 | 14 | 2019 |
Reinforcement learning for non-stationary discrete-time linear–quadratic mean-field games in multiple populations MA Zaman, E Miehling, T Başar Dynamic Games and Applications, 1-47, 2022 | 13 | 2022 |
Approximate equilibrium computation for discrete-time linear-quadratic mean-field games MA uz Zaman, K Zhang, E Miehling, T Başar arXiv preprint arXiv:2003.13195, 2020 | 11 | 2020 |
A scalable decomposition method for the dynamic defense of cyber networks M Rasouli, E Miehling, D Teneketzis Game Theory for Security and Risk Management, 75-98, 2018 | 11 | 2018 |
Sequential detection with mutual information stopping cost V Krishnamurthy, RR Bitmead, M Gevers, E Miehling IEEE Transactions on Signal Processing 60 (2), 700-714, 2011 | 10 | 2011 |
Discrete-time linear-quadratic regulation via optimal transport MH De Badyn, E Miehling, D Janak, B Açıkmeşe, M Mesbahi, T Başar, ... 2021 60th IEEE Conference on Decision and Control (CDC), 3060-3065, 2021 | 9 | 2021 |
Modeling presymptomatic spread in epidemics via mean-field games SY Olmez, S Aggarwal, JW Kim, E Miehling, T Başar, M West, PG Mehta 2022 American control conference (ACC), 3648-3655, 2022 | 7 | 2022 |
Control-theoretic approaches to cyber-security E Miehling, M Rasouli, D Teneketzis Adversarial and Uncertain Reasoning for Adaptive Cyber Defense, 12-28, 2019 | 7 | 2019 |
A dependency graph formalism for the dynamic defense of cyber networks E Miehling, M Rasouli, D Teneketzis 2017 IEEE Global Conference on Signal and Information Processing (GlobalSIP …, 2017 | 7 | 2017 |
A decentralized mechanism for computing competitive equilibria in deregulated electricity markets E Miehling, D Teneketzis American Control Conference (ACC), 4107--4113, 2016 | 7 | 2016 |
A data-informed approach for analysis, validation, and identification of COVID-19 models SY Olmez, J Mori, E Miehling, T Başar, RL Smith, M West, P Mehta medRxiv, 2020 | 6 | 2020 |
How does a rational agent act in an epidemic? SY Olmez, S Aggarwal, JW Kim, E Miehling, T Başar, M West, PG Mehta arXiv preprint arXiv:2206.02222, 2022 | 4 | 2022 |
Protecting consumers against personalized pricing: A stopping time approach R Dong, E Miehling, C Langbort arXiv preprint arXiv:2002.05346, 2020 | 4 | 2020 |
Reasoning under uncertainty in cyber-physical systems: Toward efficient and secure operation E Miehling University of Michigan, 2018 | 4 | 2018 |