59 citations · 164 across the 56 of their papers we have counts for
68 papers
Truth Revelation, Information Hiding, or Misinformation: Characterization of Equilibrium Outcomes in Signaling Games
Ertan Kazıklı, Sinan Gezici, Serdar Yüksel
In signaling games where a sender and a receiver have misaligned criteria, equilibrium behavior may lead to fully revealing, quantized, or randomized policies. Notably, the first a…
Generalization Bounds on Optimal Control for Transformer Training and Wasserstein Distributional Robustness
Kağan Akman, Naci Saldi, Serdar Yüksel
We derive finite-sample generalization bounds for Transformers trained with dynamic programming recursions. Building on the doubly lifted, measure-valued formulation of Transformer…
SLAM as a Stochastic Control Problem with Partial Information: Optimal Solutions and Rigorous Approximations
Ilir Gusija, Fady Alajaji, Serdar Yüksel
Simultaneous localization and mapping (SLAM) is a foundational state estimation problem in robotics in which a robot accurately constructs a map of its environment while also local…
An Optimal Control Approach To Transformer Training
Kağan Akman, Naci Saldı, Serdar Yüksel
In this paper, we develop a rigorous optimal control-theoretic approach to Transformer training that respects key structural constraints such as (i) realized-input-independence dur…
Quantizer Design for Finite Model Approximations, Model Learning, and Quantized Q-Learning for MDPs with Unbounded Spaces
Osman Bicer, Ali D. Kara, Serdar Yuksel
In this paper, for Markov decision processes (MDPs) with unbounded state spaces we present refined upper bounds presented in [Kara et. al. JMLR'23] on finite model approximation er…
Kernel Metrics and Learning for Borel MDPs: Identifiability and Adaptive Control
Omar Mrani-Zentar, Serdar Yüksel
We consider a Markov decision process with standard Borel spaces and an unknown transition kernel under the average cost criterion. We do not impose any parametrization on the set…