59 citations · 164 across the 56 of their papers we have counts for
5 papers · 1 filter
Reinforcement Learning for Near-Optimal Design of Zero-Delay Codes for Markov Sources
Liam Cregg, Tamas Linder, Serdar Yuksel
In the classical lossy source coding problem, one encodes long blocks of source symbols that enables the distortion to approach the ultimate Shannon limit. Such a block-coding appr…
Q-Learning for Stochastic Control under General Information Structures and Non-Markovian Environments
Ali Devran Kara, Serdar Yuksel
As a primary contribution, we present a convergence theorem for stochastic iterations, and in particular, Q-learning iterates, under a general, possibly non-Markovian, stochastic e…
On Borkar and Young Relaxed Control Topologies and Continuous Dependence of Invariant Measures on Control Policy
Serdar Yüksel
In deterministic and stochastic control theory, relaxed or randomized control policies allow for versatile mathematical analysis (on continuity, compactness, convexity and approxim…
Decentralized Multi-Agent Reinforcement Learning for Continuous-Space Stochastic Games
Awni Altabaa, Bora Yongacoglu, Serdar Yüksel
Stochastic games are a popular framework for studying multi-agent reinforcement learning (MARL). Recent advances in MARL have focused primarily on games with finitely many states.…
Another Look at Partially Observed Optimal Stochastic Control: Existence, Ergodicity, and Approximations without Belief-Reduction
Serdar Yüksel
We present an alternative view for the study of optimal control of partially observed Markov Decision Processes (POMDPs). We first revisit the traditional (and by now standard) sep…