arxiv
PublishedOctober 2, 2026 at 4:00 AM
—neutral
Sharp Statistical Rates for Asynchronous TD Learning with Markovian Data
Publisher summary· verbatim
arXiv:2609.38880v1 Announce Type: cross Abstract: We study the last iterate of standard tabular temporal-difference (TD) learning from a single trajectory of a finite Markov reward process. For discount factor $\gamma$, write $H=(1-\gamma)^{-1}$, and let $\mu_{\min}$ and $t_{\operatorname{mix}}$ den
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Originally published on arxiv ↗