Cooperative control of velocity and heading for unmanned surface vessel based on twin delayed deep deterministic policy gradient with an integral compensator

This paper addresses cooperative control of velocity and heading for an unmanned surface vessel (USV) utilizing a twin delay deep deterministic policy gradient (TD3) reinforcement learning algorithm. The utilization of a deep neural network establishes a direct correlation between the USV’s state pa...

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Veröffentlicht in:	Ocean engineering Jg. 288; S. 115943
Hauptverfasser:	Wang, Yibai, Zhao, Shulong, Wang, Qingling
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 15.11.2023
Schlagworte:	Neural network Reinforcement learning Twin delay deep deterministic policy gradient Unmanned surface vessel Twin delay deep deterministic policy gradient Neural network Reinforcement learning Unmanned surface vessel
ISSN:	0029-8018, 1873-5258
Online-Zugang:	Volltext
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