LLM-Enhanced Multi-Agent Transfer Reinforcement Learning for Sensing, Communication, Computing, and Control Co-Optimization in Cyber-Physical Systems

Junyuan Zhang; Chi Xu; Haibin Yu

doi:10.1109/JAS.2025.126005

Volume 13 Issue 5

May 2026

IEEE/CAA Journal of Automatica Sinica

JCR Impact Factor: 19.2, Top 1 (SCI Q1)

CiteScore: 28.2, Top 1% (Q1)
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Article Navigation > IEEE/CAA Journal of Automatica Sinica > 2026 > 13(5): 1251-1253

J. Zhang, C. Xu, and H. Yu, “LLM-enhanced multi-agent transfer reinforcement learning for sensing, communication, computing, and control co-optimization in cyber-physical systems,” IEEE/CAA J. Autom. Sinica, vol. 13, no. 5, pp. 1251–1253, May 2026. doi: 10.1109/JAS.2025.126005

Citation:

J. Zhang, C. Xu, and H. Yu, “LLM-enhanced multi-agent transfer reinforcement learning for sensing, communication, computing, and control co-optimization in cyber-physical systems,” IEEE/CAA J. Autom. Sinica, vol. 13, no. 5, pp. 1251–1253, May 2026. doi: 10.1109/JAS.2025.126005

Citation:

J. Zhang, C. Xu, and H. Yu, “LLM-enhanced multi-agent transfer reinforcement learning for sensing, communication, computing, and control co-optimization in cyber-physical systems,” IEEE/CAA J. Autom. Sinica, vol. 13, no. 5, pp. 1251–1253, May 2026. doi: 10.1109/JAS.2025.126005

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LLM-Enhanced Multi-Agent Transfer Reinforcement Learning for Sensing, Communication, Computing, and Control Co-Optimization in Cyber-Physical Systems

doi: 10.1109/JAS.2025.126005

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References

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