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Shengchao Zhu

2 papers indexed here

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An LLM-Driven Hybrid Online-Offline MARL Architecture for AUV Cluster Network to Enable Smart Underwater Target Encirclement

With the rapid advancement of underwater networking and multi-agent reinforcement learning (MARL) technologies, autonomous underwater vehicle (AUV) cluster networks have emerged as a promising framework for enabling smart underwater missions, particularly in cooperative target encirclement. However, training MARL polic...

Sheng-Chao Zhu, Guang-Jie Han, Chuan Lin et al. · 2 citations
Preprint Aug 2026

Multi-AUV Ad-hoc network-based Target Tracking: A Value Gradient Guidance Multi-Agent Diffusion Reinforcement Learning Approach

Experimental results show that VGG-MADiffRL consistently achieves faster convergence, higher tracking accuracy, and smoother training dynamics in cooperative tracking scenarios, validating its effectiveness and practical engineering value in dynamic underwater settings.

Jiaao Ma, Chuan Lin, Guang-Jie Han et al. · 0 citations

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