Author

Enes Arda

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#machine learning Preprint Oct 2026

Sharp Convergence and Sample Complexity of Policy Mirror Descent for Average-Reward MDPs

Policy mirror descent (PMD) has a mature finite-time theory in discounted Markov decision processes (MDPs), but less is known in the average-reward setting, a more natural objective for many control applications. We give a finite-time, finite-sample analysis of PMD in ergodic average-reward MDPs built around a single m...

Enes Arda, Atilla Eryilmaz · 0 citations

#machine learning Preprint Sep 2026

A Comparative Analysis of Attention versus State-Space Models for In-Context Learning

Transformers and state-space models (SSMs) are two prominent sequential learning architectures, yet their comparison remains largely empirical and existing theoretical analyses are typically task-specific or architecturally restricted. In this paper, we develop belief geometry, a unified analytical framework for compar...

Enes Arda, Semih Cayci, Atilla Eryilmaz · 0 citations