Unmanned surface vehicle escape strategy based on hybrid sampling deep Q-network

ObjectiveAiming at the encirclement tactics adopted by enemy ships, this study focuses on the problem of planning an escape strategy when an unmanned surface vehicle (USV) is surrounded by enemy ships. MethodsA hybrid sampling deep Q-network (HS-DQN) reinforcement learning algorithm is proposed whic...

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Bibliographic Details

Published in:	Zhongguo Jianchuan Yanjiu
Main Authors:	Yuanpeng YANG, Lifei SONG, Jiaqi MAO, Yi LI, Houjing CHEN
Format:	Article
Language:	English
Published:	Editorial Office of Chinese Journal of Ship Research 2024-02-01
Subjects:	usv apollonius circle pursuit−evasion deep reinforcement learning hybrid sampling
Online Access:	http://www.ship-research.com/en/article/doi/10.19693/j.issn.1673-3185.03105