Research

Fast Rates for Offline Q-Learning with KL Regularization

Single source1 source14 Oct 2026

arXiv:2610.18839v1 Announce Type: cross Abstract: This paper investigates offline Q-learning for finite-horizon Markov decision processes with Kullback-Leibler (KL) regularization.

Reported by 1 source

arxiv.orghttps://arxiv.org/abs/2610.18839

← Back to all developments · Signals are a development reported by more than one source. See the methodology.