A Small Gain Analysis of Single Timescale Actor Critic

Alex Olshevsky; Bahman Gharesifard

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arXiv · 2203.02591

A Small Gain Analysis of Single Timescale Actor Critic

Alex Olshevsky·Bahman Gharesifard

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Abstract

We consider a version of actor-critic which uses proportional step-sizes and only one critic update with a single sample from the stationary distribution per actor step. We provide an analysis of this method using the small-gain theorem. Specifically, we prove that this method can be used to find a stationary point, and that the resulting sample complexity improves the state of the art for actor-critic methods to $O \left(\mu^{-2} \epsilon^{-2} \right)$ to find an $\epsilon$-approximate stationary point where $\mu$ is the condition number associated with the critic.

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BibTeX RIS

Alex Olshevsky, Bahman Gharesifard. 2022-03-04. A Small Gain Analysis of Single Timescale Actor Critic. https://arxiv.org/abs/2203.02591

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