4 papers
Reinforcement Learning for Jointly Optimal Coding and Control Policies for a Controlled Markovian System over a Communication Channel
Evelyn Hubbard, Liam Cregg, Serdar Yüksel
We study the problem of joint optimization involving coding and control policies for a controlled Markovian sytem over a finite-rate noiseless communication channel. While structur…
Satisficing Paths to Equilibrium, Generalized Weakly Acyclic Games, and Learning
Bora Yongacoglu, Gwendolen Hickey, Gürdal Arslan +2
Weakly acyclic games generalize potential games and have shown to be fundamental in the study of multi-agent learning as they allow for convergence to an equilibrium via best-respo…
Robustness to Incorrect Models and Data-Driven Learning in Average-Cost Optimal Stochastic Control
Ali Devran Kara, Maxim Raginsky, Serdar Yuksel
We study continuity and robustness properties of infinite-horizon average expected cost problems with respect to (controlled) transition kernels, and applications of these results…
Stochastic Control Approach to Reputation Games
Nuh Aygün Dalkıran, Serdar Yüksel
Through a stochastic control theoretic approach, we analyze reputation games where a strategic long-lived player acts in a sequential repeated game against a collection of short-li…