AI RESEARCH

Sign-Separated Finite-Time Error Analysis of Q-Learning

arXiv CS.AI

ArXi:2605.16103v1 Announce Type: new This paper develops a sign-separated finite-time error analysis for constant step-size Q-learning. Starting from the switching-system representation, the error is decomposed into its componentwise negative and positive parts. The negative part is dominated by a lower comparison linear time-invariant (LTI) system associated with a fixed optimal policy, whereas the positive part is controlled by a linear switching system.