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Preprints
- A. S. Donmez and M. O. Sayin. Generalized individual Q-learning for polymatrix games with partial observations, 2024.
- Y. Arslantas, E. Yuceel, and M. O. Sayin. Strategizing against Q-learners: A control-theoretical approach, arXiv:2403.08906, 2024. [url]
- A. S. Donmez, Y. Arslantas, and M. O. Sayin. Team collaboration vs competition: New fictitious play dynamics for multi-team zero-sum games, arXiv:2402.02147, 2024. [url]
- K. Zhang, M. O. Sayin, and A. Ozdaglar. (Smooth) fictitious play in identical-interest stochastic games with independent continuation-payoff estimates, 2023.
- Y. Arslantas, E. Yuceel, Y. Yalin, and M. O. Sayin. Convergence of heterogeneous learning dynamics in zero-sum stochastic games, arXiv:2311.00778, 2023. [url]
- M. O. Sayin. Decentralized learning for stochastic games: Beyond zero sum and identical interest, arXiv:2310.07256, 2023. [url]
- M. O. Sayin and O. Unlu. Logit-Q dynamics for efficient learning in stochastic teams, arXiv:2302.09806v2, 2023. [url]
Selected Recent Publications
- M. O. Sayin, K. Zhang, and A. Ozdaglar, “Fictitious Play in Markov Games with Single Controller,” in ACM EC, 2022. [url]
- M. O. Sayin, F. Parise, and A. Ozdaglar, “Fictitious Play in Zero-sum Stochastic Games,” SIAM J. Cont. Opt., 2022. [url][poster]
- A. Ozdaglar, M. O. Sayin and K. Zhang. Independent Learning in Stochastic Games. In Proc. Int. Congr. Math. (ICM’22), vol. 7, pp. 5340-5373, 2022. [url]
- M. O. Sayin*, K. Zhang*, D. S. Leslie, T. Başar, and A. Ozdaglar, “Decentralized Q-learning in Zero-sum Markov Games,” in NeurIPS, 2021. [url] [poster]
Journals
- M. O. Sayin, F. Parise, and A. Ozdaglar, “Fictitious Play in Zero-sum Stochastic Games,” SIAM J. Cont. Opt., 2022. [url][poster]
- M. O. Sayin and T. Başar, “Bayesian Persuasion with State-Dependent Quadratic Cost Measures,” IEEE Trans. Automatic Control, 2021. [url]
- M. O. Sayin and T. Başar, “Persuasion-based Robust Sensor Design Against Attackers with Unknown Control Objectives,” IEEE Trans. Automatic Control, 2021. [url]
- M. O. Sayin, et al., “Reliable Smart Road Signs,” IEEE Trans. Intell. Transp. Syst., 2020. [url]
- M. O. Sayin, E. Akyol, and T. Başar, “Hierarchical Multi-stage Gaussian Signaling Games in Noncooperative Communication and Control Systems,” Automatica, 2019. [url]
- M. O. Sayin, et al., “Information-driven Autonomous Intersection Control via Incentive Compatible Mechanisms,” IEEE Trans. Intell. Transp. Syst., 2019. [url]
- N. D. Vanli, M. O. Sayin, et al., “Nonlinear Regression via Incremental Decision Trees,” Pattern Recognition, 2019. [url]
- O. F. Kilic, T. Ergen, M. O. Sayin, and S. S. Kozat, “Team-Optimal Online Estimation of Dynamic Parameters over Distributed Tree Networks,” Signal Process., 2019. [url]
- M. O. Sayin, et al., “Stochastic Subgradient Algorithms for Strongly Convex Optimization over Distributed Networks,” IEEE Trans. Netw. Sci. Eng., 2017. [url][Runner-up of the 2019 IEEE TNSE Best Paper Award]
- M. O. Sayin, S. S. Kozat, and T. Başar, “Team-Optimal Distributed MMSE Estimation in General and Tree Networks,” Digital Signal Process., 2017. [url]
- D. Kari, I. Marivani, F. Khan, M. O. Sayin, and S. S. Kozat, “Robust Adaptive Algorithms for Underwater Acoustic Channel Estimation and Their Performance Analysis,” Digital Signal Process., 2017. [url]
- N. D. Vanli, M. O. Sayin, et al., “Sequential Nonlinear Learning for Distributed Multi-Agent Systems via Extreme Learning Machines,” IEEE Trans. Neural Net. Learn. Syst., 2017. [url]
- N. D. Vanli, K. Gokcesu, M. O. Sayin, et al., “Sequential Prediction Over Hierarchical Structures,” IEEE Trans. Signal Process., 2016. [url]
- O. F. Kilic, M. O. Sayin, et al., “Computationally Highly Efficient Mixture of Adaptive Filters,” Signal Image Video Process., 2016. [url]
- M. O. Sayin, et al., “Krylov Proportionate Normalized Least Mean Fourth Approach: Formulation and Performance Analysis,” Signal Process., 2015. [url]
- M. O. Sayin and S. S. Kozat, “Compressive Diffusion Strategies Over Distributed Networks for Reduced Communication Load,” IEEE Trans. Signal Process., 2014. [url]
- M. O. Sayin, N. D. Vanli, and S. S. Kozat, “A Novel Family of Adaptive Filtering Algorithms Based on the Logarithmic Cost,” IEEE Trans. Signal Process., 2014. [url]
- M. O. Sayin and S. S. Kozat, “Single Bit and Reduced Dimension Diffusion Strategies Over Distributed Networks,” IEEE Signal Process. Lett., 2013. [url]
Chapters in Edited Volumes
- A. Ozdaglar, M. O. Sayin and K. Zhang. Independent Learning in Stochastic Games. In Proc. Int. Congr. Math. (ICM’22), vol. 7, pp. 5340-5373, 2022. [url]
- M. O. Sayin and T. Başar. Deception-As-Defense Framework for Cyber-Physical Systems. In Safety, Security, and Privacy for Cyber-Physical Systems, Springer, 2021. [url]
- M. O. Sayin, et al. Minimax Detection (MAD) for Computer Security: A Dynamic Program Characterization. In Game Theory and Machine Learning for Cyber Security, John Wiley & Sons, 2021. [url]
Patents
- M. O. Sayin, C.-W. Lin, S. Shiraishi, “Managing Roadway Intersections for Vehicles,” US Patent US11151869B2, Granted on Oct. 19, 2021. [url]
Conferences
- O. Unlu and M. O. Sayin. “Episodic logit-Q dynamics for efficient learning in stochastic teams,” in IEEE CDC, 2023. [url]
- S.-C. Huang, K.-E. Lin, C.-Y. Kuo, L.-H. Lin, M. O. Sayin, and C.-W. Lin, “Reinforcement-learning-based job-shop scheduling for intelligent intersection management,” in Design, Automation and Test in Europe Conference (DATE), 2023.
- M. O. Sayin, “On the global convergence of stochastic fictitious play in stochastic games with turn-based controllers”, in IEEE CDC, 2022. [url]
- M. O. Sayin, K. Zhang, and A. Ozdaglar, “Fictitious Play in Markov Games with Single Controller,” in ACM EC, 2022. [url]
- M. O. Sayin and K. A. Cetiner, “On the Heterogeneity of Independent Learning Dynamics in Zero-sum Stochastic Games”, in L4DC, 2022. [pdf][url][poster]
- M. O. Sayin*, K. Zhang*, D. S. Leslie, T. Başar, and A. Ozdaglar, “Decentralized Q-learning in Zero-sum Markov Games,” in NeurIPS, 2021. [url] [poster]
- M. O. Sayin*, K. Zhang*, D. S. Leslie, T. Başar, and A. Ozdaglar, “Decentralized Q-learning in Zero-sum Markov Games,” in Workshop on Reinforcement Learning Theory at ICML, 2021.
- M. O. Sayin and T. Başar, “On the Optimality of Linear Signaling to Deceive Kalman Filters Over Finite/Infinite Horizons,” in GameSec, 2019. [pdf][url]
- M. O. Sayin, et al., “A Game Theoretical Framework for Inter-Process Adversarial Intervention Detection,” in GameSec, 2018. [url]
- M. O. Sayin and T. Başar, “Dynamic Information Disclosure for Deception,” in IEEE CDC, 2018. [pdf][url]
- M. O. Sayin and T. Başar, “Secure Sensor Design for Resiliency of Control Systems Prior to Attack Detection,” in IEEE CCTA, 2018. [pdf][url]
- M. O. Sayin and T. Başar, “Deceptive Multi-dimensional Information Disclosure over a Gaussian Channel,” in ACC, 2018. [pdf][url]
- M. O. Sayin, et al., “Reliable Intersection Control in Non-cooperative Environments,” in ACC, 2018.[url]
- B. Zheng, M. O. Sayin, et al., “Timing and Security Analysis of VANET-based Intelligent Transportation Systems,” in IEEE ICCAD, 2017. [url]
- M. O. Sayin and T. Başar, “Secure Sensor Design for Cyber-Physical Systems Against Advanced Persistent Threats,” in GameSec, 2017. [pdf][url]
- M. O. Sayin, E. Akyol, and T. Başar, “Strategic Control of a Tracking System,” in IEEE CDC, 2016. [pdf][url]
- M. O. Sayin, E. Akyol, and T. Başar, “On the Structure of Equilibrium Strategies in Dynamic Gaussian Signaling Games,” in IEEE MSC, 2016.[url]
- O. F. Kilic, M. O. Sayin, et al., “Mixture of Set Membership Filters Approach for Big Data Signal Processing,” in IEEE SIU, 2016. [url] [Best Student Paper Award]
- M. O. Sayin, et al., “Efficient and Distributed Tracking of Evolving State,” in IEEE MLSP, 2015.[url]
- N. D. Vanli, M. O. Sayin, I. Delibalta, and S. S. Kozat, “Universal Online Prediction via Order Preserving Patterns,” in IEEE MLSP, 2015.[url]
- M. O. Sayin, et al., “Optimal and Efficient Distributed Online Learning for Big Data,” in IEEE Big Data Congress, 2015.[url]
- N. D. Vanli, M. O. Sayin, and S. S. Kozat, “Twice-Universal Piecewise Linear Regression via Infinite Depth Context Trees,” in IEEE ICASSP, 2015.[url]
- M. O. Sayin, et al., “Communication Efficient Channel Estimation Over Distributed Networks,” in IEEE GlobalSIP, 2014.[url]
- N. D. Vanli, M. O. Sayin, T. Goze, and S. S. Kozat, “Energy Consumption Forecasting via Order Preserving Pattern Matching,” in IEEE GlobalSIP, 2014.[url]
- N. D. Vanli, M. O. Sayin, S. Ergut, and S. S. Kozat, “Piecewise Nonlinear Regression via Decision Adaptive Trees,” in EUSIPCO, 2014.[url]
- N. D. Vanli, M. O. Sayin, S. Ergut, and S. S. Kozat, “Comprehensive Lower Bounds on Sequential Prediction,” in EUSIPCO, 2014.[url]
- M. O. Sayin, N. D. Vanli, and S. S. Kozat, “Logarithmic Regret Bound Over Diffusion Based Distributed Estimation,” in IEEE ICASSP, 2014.[url]
- M. O. Sayin, N. D. Vanli, and S. S. Kozat, “Improved Convergence Performance of Adaptive Algorithms Through Logarithmic Cost,” in IEEE ICASSP, 2014.[url]
- M. O. Sayin, N. D. Vanli, and S. S. Kozat, “Robust Set-Membership Filtering Algorithms Against Impulsive Noise,” in IEEE SIU, 2014.[url]
- M. O. Sayin, N. D. Vanli, and S. S. Kozat, “Performance Analysis of Scalar Diffusion Strategy Over Distributed Networks,” in IEEE SIU, 2014.[url]
- N. D. Vanli, M. O. Sayin, and S. S. Kozat, “Competitive Linear MMSE Estimation Under Structured Data Uncertainties,” in IEEE SIU, 2014.[url]