arxiv
PublishedOctober 2, 2026 at 4:00 AM
Fast Regularized Policy Mirror Descent with One-Step TD Updates
Publisher summary· verbatim
arXiv:2609.39837v1 Announce Type: new Abstract: Policy mirror descent (PMD) enjoys fast convergence in regularized Markov decision processes (MDPs), but existing guarantees often rely on exact or increasingly accurate policy evaluation. We analyze PMD coupled with a persistent critic advanced by one
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Originally published on arxiv ↗