Muhammed O. Sayin

Orcid: 0000-0001-5779-3986

According to our database1, Muhammed O. Sayin authored at least 68 papers between 2013 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2024
Strategizing Against Q-Learners: A Control-Theoretical Approach.
IEEE Control. Syst. Lett., 2024

Generalized Individual Q-learning for Polymatrix Games with Partial Observations.
CoRR, 2024

Team Collaboration vs Competition: New Fictitious Play Dynamics for Multi-team Zero-Sum Games.
CoRR, 2024

2023
Convergence of Heterogeneous Learning Dynamics in Zero-sum Stochastic Games.
CoRR, 2023

Decentralized Learning for Stochastic Games: Beyond Zero Sum and Identical Interest.
CoRR, 2023

Efficient-Q Learning for Stochastic Games.
CoRR, 2023

Reinforcement-Learning-Based Job-Shop Scheduling for Intelligent Intersection Management.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2023

Episodic Logit-Q Dynamics for Efficient Learning in Stochastic Teams.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

2022
Bayesian Persuasion With State-Dependent Quadratic Cost Measures.
IEEE Trans. Autom. Control., 2022

Fictitious Play in Zero-Sum Stochastic Games.
SIAM J. Control. Optim., 2022

Logit-Q Learning in Markov Games.
CoRR, 2022

Fictitious Play in Markov Games with Single Controller.
Proceedings of the EC '22: The 23rd ACM Conference on Economics and Computation, Boulder, CO, USA, July 11, 2022

On the Heterogeneity of Independent Learning Dynamics in Zero-sum Stochastic Games.
Proceedings of the Learning for Dynamics and Control Conference, 2022

On the Global Convergence of Stochastic Fictitious Play in Stochastic Games with Turn-based Controllers.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022

2021
Persuasion-Based Robust Sensor Design Against Attackers With Unknown Control Objectives.
IEEE Trans. Autom. Control., 2021

Independent Learning in Stochastic Games.
CoRR, 2021

Decentralized Q-learning in Zero-sum Markov Games.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020
Reliable Smart Road Signs.
IEEE Trans. Intell. Transp. Syst., 2020

2019
Belief shaping in noncooperative communication and control systems through strategic signaling
PhD thesis, 2019

Information-Driven Autonomous Intersection Control via Incentive Compatible Mechanisms.
IEEE Trans. Intell. Transp. Syst., 2019

Team-optimal online estimation of dynamic parameters over distributed tree networks.
Signal Process., 2019

Nonlinear regression via incremental decision trees.
Pattern Recognit., 2019

Optimal Hierarchical Signaling for Quadratic Cost Measures and General Distributions: A Copositive Program Characterization.
CoRR, 2019

Deception-As-Defense Framework for Cyber-Physical Systems.
CoRR, 2019

A Game Theoretical Error-Correction Framework for Secure Traffic-Sign Classification.
CoRR, 2019

Robust Sensor Design Against Multiple Attackers with Misaligned Control Objectives.
CoRR, 2019

Hierarchical multistage Gaussian signaling games in noncooperative communication and control systems.
Autom., 2019

On the Optimality of Linear Signaling to Deceive Kalman Filters over Finite/Infinite Horizons.
Proceedings of the Decision and Game Theory for Security - 10th International Conference, 2019

2018
Secure Sensor Design Against Undetected Infiltration: Minimum Impact-Minimum Damage.
CoRR, 2018

A Game Theoretical Framework for Inter-process Adversarial Intervention Detection.
Proceedings of the Decision and Game Theory for Security - 9th International Conference, 2018

Dynamic Information Disclosure for Deception<sup>*</sup>.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

Secure Sensor Design for Resiliency of Control Systems Prior to Attack Detection.
Proceedings of the IEEE Conference on Control Technology and Applications, 2018

Reliable Intersection Control in Non-cooperative Environments.
Proceedings of the 2018 Annual American Control Conference, 2018

Deceptive Multi-dimensional Information Disclosure over a Gaussian Channel.
Proceedings of the 2018 Annual American Control Conference, 2018

2017
Stochastic Subgradient Algorithms for Strongly Convex Optimization Over Distributed Networks.
IEEE Trans. Netw. Sci. Eng., 2017

Sequential Nonlinear Learning for Distributed Multiagent Systems via Extreme Learning Machines.
IEEE Trans. Neural Networks Learn. Syst., 2017

Computationally highly efficient mixture of adaptive filters.
Signal Image Video Process., 2017

Team-optimal distributed MMSE estimation in general and tree networks.
Digit. Signal Process., 2017

Robust adaptive algorithms for underwater acoustic channel estimation and their performance analysis.
Digit. Signal Process., 2017

Timing and security analysis of VANET-based intelligent transportation systems: (Invited paper).
Proceedings of the 2017 IEEE/ACM International Conference on Computer-Aided Design, 2017

Secure Sensor Design for Cyber-Physical Systems Against Advanced Persistent Threats.
Proceedings of the Decision and Game Theory for Security - 8th International Conference, 2017

2016
Sequential Prediction Over Hierarchical Structures.
IEEE Trans. Signal Process., 2016

Network structures and fast distributed MMSE estimation.
CoRR, 2016

Hierarchical Multi-stage Gaussian Signaling Games.
CoRR, 2016

Mixture of set membership filters approach for big data signal processing.
Proceedings of the 24th Signal Processing and Communication Application Conference, 2016

Strategic control of a tracking system.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016

On the structure of equilibrium strategies in dynamic Gaussian signaling games.
Proceedings of the 2016 IEEE Conference on Control Applications, 2016

2015
The Krylov-proportionate normalized least mean fourth approach: Formulation and performance analysis.
Signal Process., 2015

A new robust adaptive algorithm for underwater acoustic channel equalization.
CoRR, 2015

Universal online prediction via order preserving patterns.
Proceedings of the 25th IEEE International Workshop on Machine Learning for Signal Processing, 2015

Efficient and distributed tracking of evolving state.
Proceedings of the 25th IEEE International Workshop on Machine Learning for Signal Processing, 2015

Twice-universal piecewise linear regression via infinite depth context trees.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

A Scalable Approach for Online Hierarchical Big Data Mining.
Proceedings of the 2015 IEEE International Congress on Big Data, New York City, NY, USA, June 27, 2015

Optimal and Efficient Distributed Online Learning for Big Data.
Proceedings of the 2015 IEEE International Congress on Big Data, New York City, NY, USA, June 27, 2015

2014
A Novel Family of Adaptive Filtering Algorithms Based on the Logarithmic Cost.
IEEE Trans. Signal Process., 2014

Compressive Diffusion Strategies Over Distributed Networks for Reduced Communication Load.
IEEE Trans. Signal Process., 2014

Stochastic Subgradient Algorithms for Strongly Convex Optimization over Distributed Networks.
CoRR, 2014

Online Piecewise Linear Regression via Infinite Depth Context Trees.
CoRR, 2014

Competitive linear MMSE estimation under structured data uncertainties.
Proceedings of the 2014 22nd Signal Processing and Communications Applications Conference (SIU), 2014

Robust set-membership filtering algorithms against impulsive noise.
Proceedings of the 2014 22nd Signal Processing and Communications Applications Conference (SIU), 2014

Performance analysis of scalar diffusion strategy over distributed network.
Proceedings of the 2014 22nd Signal Processing and Communications Applications Conference (SIU), 2014

Logarithmic regret bound over diffusion based distributed estimation.
Proceedings of the IEEE International Conference on Acoustics, 2014

Improved convergence performance of adaptive algorithms through logarithmic cost.
Proceedings of the IEEE International Conference on Acoustics, 2014

Energy consumption forecasting via order preserving pattern matching.
Proceedings of the 2014 IEEE Global Conference on Signal and Information Processing, 2014

Communication efficient channel estimation over distributed networks.
Proceedings of the 2014 IEEE Global Conference on Signal and Information Processing, 2014

Comprehensive lower bounds on sequential prediction.
Proceedings of the 22nd European Signal Processing Conference, 2014

Piecewise nonlinear regression via decision adaptive trees.
Proceedings of the 22nd European Signal Processing Conference, 2014

2013
Single Bit and Reduced Dimension Diffusion Strategies Over Distributed Networks.
IEEE Signal Process. Lett., 2013


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