About Me
I am currently pursuing a Ph.D. in Electrical and Electronics Engineering at Bilkent University, building on my Master’s degree from the same institution. Under Dr. Muhammed Sayın’s guidance in the Games, AI, and Networks Research Lab, my focus spans algorithmic game theory, control theory, and multi-agent reinforcement learning. My research aims to bridge theory and practical applications in these areas.
Check out our latest research contribution on multi-agent reinforcement learning at NeurIPS 2024

News
- [Jan. 2026] Our paper titled “Actor-Dual-Critic Dynamics for Zero-sum and Identical-Interest Stochastic Games” is now live on arXiv!
- [Dec. 2025] Our paper titled “Omniscient Attacker in Stochastic Security Games with Interdependent Nodes” is now live on arXiv!
- [Jun. 2025] Our paper “Convergence of Heterogeneous Learning Dynamics in Zero-sum Stochastic Games” has been accepted for publication in the IEEE Transactions on Automatic Control (IEEE TAC)!
- [Sep. 2024] Our paper “Team-Fictitious Play for Reaching Team-Nash Equilibrium in Multi-team Games” has been accepted for presentation at the NeurIPS 2024!
Publications
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arXiv
Ahmed Said Donmez, Yuksel Arslantas, Muhammed O. Sayin
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arXiv
Yuksel Arslantas, Ahmed Said Donmez, Ege Yuceel, Muhammed O. Sayin
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IEEE TAC
Yuksel Arslantas, Ege Yuceel, Yigit Yalin, Muhammed O. Sayin
IEEE Transactions on Automatic Control (IEEE TAC), 2025.
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NeurIPS
Ahmed Said Donmez, Yuksel Arslantas, Muhammed O. Sayin
Advances in Neural Information Processing Systems (NeurIPS), 2024.
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IEEE L-CSS
Yuksel Arslantas, Ege Yuceel, Muhammed O. Sayin
IEEE Control Systems Letters (IEEE L-CSS), 2024.
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IFAC CPHS
Yuksel Arslantas, Muhammed O. Sayin
IFAC Workshop on Cyber-Physical Human Systems (IFAC CPHS), 2024.
Services
Conference Reviewer
Journal Reviewer
Teaching Experience
- Bilkent University - Teaching Assistant
- EEE 448/548 - Reinforcement Learning and Dynamic Programming (Spring 2025, Spring 2026)
- EEE 440/540 - Advanced Mathematics for Signals, Systems, Control and Communications (Spring 2024)
- EEE 447/547 - Introduction to Robotics (Fall 2022, Fall 2023)
- EEE 361 - Linear Algebra in Data Analysis and Machine Learning (Spring 2023, Spring 2024)
- MATH 255 - Introduction to Probability (Fall 2024, Fall 2025)
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