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Data-driven optimal trajectory tracking control of autonomous surface vessels via reinforcement learning

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Transactions of the Institute of Measurement and Control

Published online on

Abstract

Transactions of the Institute of Measurement and Control, Ahead of Print.
This paper presents an optimal trajectory tracking control algorithm for autonomous surface vessels (ASVs) using data-driven reinforcement learning (RL) to address challenges arising from model uncertainties and time-varying external disturbances in ...