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Main Authors: Zorba, Denis, Šiška, David, Szpruch, Lukasz
Format: Preprint
Published: 2025
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Online Access:https://arxiv.org/abs/2510.14898
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author Zorba, Denis
Šiška, David
Szpruch, Lukasz
author_facet Zorba, Denis
Šiška, David
Szpruch, Lukasz
contents We prove the stability and global convergence of a coupled actor-critic gradient flow for infinite-horizon and entropy-regularised Markov decision processes (MDPs) in continuous state and action space with linear function approximation under Q-function realisability. We consider a version of the actor critic gradient flow where the critic is updated using temporal difference (TD) learning while the policy is updated using a policy mirror descent method on a separate timescale. We demonstrate stability and exponential convergence of the actor critic flow to the optimal policy. Finally, we address the interplay of the timescale separation and entropy regularisation and its effect on stability and convergence.
format Preprint
id arxiv_https___arxiv_org_abs_2510_14898
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Convergence of actor-critic for entropy regularised MDPs in general action spaces
Zorba, Denis
Šiška, David
Szpruch, Lukasz
Optimization and Control
We prove the stability and global convergence of a coupled actor-critic gradient flow for infinite-horizon and entropy-regularised Markov decision processes (MDPs) in continuous state and action space with linear function approximation under Q-function realisability. We consider a version of the actor critic gradient flow where the critic is updated using temporal difference (TD) learning while the policy is updated using a policy mirror descent method on a separate timescale. We demonstrate stability and exponential convergence of the actor critic flow to the optimal policy. Finally, we address the interplay of the timescale separation and entropy regularisation and its effect on stability and convergence.
title Convergence of actor-critic for entropy regularised MDPs in general action spaces
topic Optimization and Control
url https://arxiv.org/abs/2510.14898