Asynchronous Parallel Policy Gradient Methods for the Linear Quadratic Regulator

Learning policies in an asynchronous parallel way is essential to the numerous successes of RL for solving large-scale problems. However, their convergence performance is still not rigorously evaluated. To this end, we adopt the asynchronous parallel zero-order policy gradient (AZOPG) method to solv...

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Hauptverfasser: Sha, Xingyu, Zhao, Feiran, You, Keyou
Format: Artikel
Sprache:eng
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