3 papers
math.OC2026
Approximations and Learning for Decentralized Stochastic Control and Near Optimal Finite Window Policies
Omar Mrani-Zentar, Serdar Yuksel
Decentralized stochastic control problems are difficult to study due to information structure dependent subtleties, which prevent many classical methods in stochastic control from…
math.OC2025
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…
math.OC2024
Centralized Reduction of Decentralized Stochastic Control Models and their weak-Feller Regularity
Omar Mrani-Zentar, Serdar Yüksel
Decentralized stochastic control problems involving general state/measurement/action spaces are intrinsically difficult to study because of the inapplicability of standard tools fr…