Our research focus is on prediction and control of complex systems, whose dynamics are hard to describe, predict or control. In particular, we are interested in control theory, game theory and reinforcement learning, on the theory side, and their applications to aerospace, automotive and robotics fields, on the engineering side. 

PROSPECTIVE STUDENTS: Please have a look at our research projects/publications and if you are interested, please send a short email to Yildiray Yildiz (yyildiz@bilkent.edu.tr) describing your research interests together with your CV. Undergraduates are also welcome. If you are a good programmer, please indicate that in your email (this is NOT a requirement). 

OPEN POSTDOCTORAL POSITIONS: We seek candidates with strong programming skills together with an interest in reinforcement learning and game theory. We are particularly interested in candidates who can apply his/her computer skills on solving problems in prediction of the behavior of complex dynamical systems. Please contact Yildiray Yildiz (yyildiz@bilkent.edu.tr) if you are interested.


Yildiray Yildiz attended the IEEE CSM editorial board meeting at CDC'19, Nice, France. 

Our lab member Mert Albaba is ranked 5th (fifth) among 117,000 participants in national Academic Personnel and Graduate Education Entrance Exam. Congratulations Mert!

Mert Albaba's paper, where we demonstrated how reinforcement learning and game theory can be used to model air and road traffic, is now online. Can be found here: https://www.sciencedirect.com/science/article/pii/S1367578819301026 or here: https://arxiv.org/abs/1910.05092

Our paper, "Modeling Cyber-Physical Human Systems via an Interplay Between Reinforcement Learning and Game Theory," has been accepted to Annual Reviews in Control. 10 October 2019

Starting this month, Yildiray Yildiz will be helping the International Journal of Control editorial board as a member of the advisory board, in the areas of human-machine interactions, adaptive control, and machine learning. 5 July 2019