An Intelligent Algorithm for USVs Collision Avoidance Based on Deep Reinforcement Learning Approach with Navigation Characteristics

Many achievements toward unmanned surface vehicles have been made using artificial intelligence theory to assist the decisions of the navigator. In particular, there has been rapid development in autonomous collision avoidance techniques that employ the intelligent algorithm of deep reinforcement le...

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Bibliographic Details

Main Authors:	Zhe Sun, Yunsheng Fan, Guofeng Wang
Format:	Artigo
Language:	Inglês
Published:	MDPI AG 2023-04-01
Series:	Journal of Marine Science and Engineering
Subjects:	unmanned surface vehicles deep reinforcement learning autonomous collision avoidance COLREGs
Online Access:	https://www.mdpi.com/2077-1312/11/4/812
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