Multi-Underwater Target Interception Strategy Based on Deep Reinforcement Learning

In the context of multiple autonomous undersea vehicles(AUVs) executing underwater target interception missions, AUVs are required to make precise decisions based on both enemy and partner information, navigating the dual challenges of competition and cooperation. Most existing research typically fo...

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Bibliographic Details
Published in:	水下无人系统学报
Main Authors:	Wenhao GAN, Yunfei PENG, Lei QIAO
Format:	Article
Language:	Chinese
Published:	Science Press (China) 2025-04-01
Subjects:	autonomous undersea vehicle multi-agent reinforcement learning target interception intelligent decision-making
Online Access:	https://sxwrxtxb.xml-journal.net/cn/article/doi/10.11993/j.issn.2096-3920.2025-0004

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