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Erik Miehling
Erik Miehling
IBM Research
Verified email at ibm.com - Homepage
Title
Cited by
Cited by
Year
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
1142015
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
902018
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
382014
Non-cooperative inverse reinforcement learning
X Zhang, K Zhang, E Miehling, T Başar
Advances in Neural Information Processing Systems, 9482--9493, 2019
292019
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
242020
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
222020
Online planning for decentralized stochastic control with partial history sharing
K Zhang, E Miehling, T Başar
2019 American Control Conference (ACC), 3544-3550, 2019
132019
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
122022
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
112020
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
102021
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
102018
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
102011
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
92022
Control-theoretic approaches to cyber-security
E Miehling, M Rasouli, D Teneketzis
Adversarial and Uncertain Reasoning for Adaptive Cyber Defense, 12-28, 2019
72019
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
72017
A decentralized mechanism for computing competitive equilibria in deregulated electricity markets
E Miehling, D Teneketzis
American Control Conference (ACC), 4107--4113, 2016
72016
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
62020
Reasoning under uncertainty in cyber-physical systems: Toward efficient and secure operation
E Miehling
University of Michigan, 2018
52018
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
42022
Protecting consumers against personalized pricing: A stopping time approach
R Dong, E Miehling, C Langbort
arXiv preprint arXiv:2002.05346, 2020
42020
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