Multi-AUV Cooperative Underwater Multi-Target Tracking Based on Dynamic-Switching-Enabled Multi-Agent Reinforcement Learning

Shengbo Wang; Chuan Lin; Guangjie Han; Shengchao Zhu; Zhixian Li; Zhenyu Wang; Yunpeng Ma

doi:10.1109/tmc.2024.3521889

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Multi-AUV Cooperative Underwater Multi-Target Tracking Based on Dynamic-Switching-Enabled Multi-Agent Reinforcement Learning

Shengbo Wang Chuan Lin Guangjie Han Shengchao Zhu Zhixian Li Zhenyu Wang Yunpeng Ma

Year: 2024 Journal: IEEE Transactions on Mobile Computing Vol: 24 (5)Pages: 4296-4311 Publisher: IEEE Computer Society

DOI: 10.1109/tmc.2024.3521889

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Keywords:

Reinforcement learning Computer science Underwater Multi-agent system Tracking (education) Artificial intelligence Real-time computing Distributed computing

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Underwater Vehicles and Communication Systems

Physical Sciences → Engineering → Ocean Engineering

Multi-AUV Cooperative Underwater Multi-Target Tracking Based on Dynamic-Switching-Enabled Multi-Agent Reinforcement Learning

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