A journal of IEEE and CAA , publishes high-quality papers in English on original theoretical/experimental research and development in all areas of automation
Volume 13 Issue 10
Oct.  2026

IEEE/CAA Journal of Automatica Sinica

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Article Contents
S. Sun and T. Li, “Knowledge-assistant deep reinforcement learning for multi-agent region protection,” IEEE/CAA J. Autom. Sinica, vol. 13, no. 10, pp. 2414–2416, Oct. 2026. doi: 10.1109/JAS.2025.125912
Citation: S. Sun and T. Li, “Knowledge-assistant deep reinforcement learning for multi-agent region protection,” IEEE/CAA J. Autom. Sinica, vol. 13, no. 10, pp. 2414–2416, Oct. 2026. doi: 10.1109/JAS.2025.125912

Knowledge-Assistant Deep Reinforcement Learning for Multi-Agent Region Protection

doi: 10.1109/JAS.2025.125912
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  • [1]
    B. Ning, Q.-L. Han, Z. Zuo, L. Ding, Q. Lu, and X. Ge, “Fixed-time and prescribed-time consensus control of multiagent systems and its applications: A survey of recent trends and methodologies,” IEEE Trans. Industr. Inform., vol. 19, no. 2, pp. 1121−1135, 2023. doi: 10.1109/TII.2022.3201589
    [2]
    X. Wang, Y. Zhang, and H. Wu, “Distributed cooperative guidance of multiple anti-ship missiles with arbitrary impact angle constraint,” Aerosp. Sci. Technol., vol. 46, pp. 299−311, 2015. doi: 10.1016/j.ast.2015.08.002
    [3]
    X. Meng, B. Sun, and D. Zhu, “Harbour protection: moving invasion target interception for multi-AUV based on prediction planning interception method,” Ocean Eng., vol. 219, Art. no. 108268, 2021. doi: 10.1016/j.oceaneng.2020.108268
    [4]
    Z. Pu, Y. Pan, S. Wang, B. Liu, M. Chen, H. Ma, and Y. Cui, “Orientation and decision-making for soccer based on sports analytics and AI: A systematic review,” IEEE/CAA J. Autom. Sinica, vol. 11, no. 1, pp. 37−57, 2024. doi: 10.1109/JAS.2023.123807
    [5]
    O. Dogru, J. Xie, O. Prakash, R. Chiplunkar, J. Soesanto, H. Chen, K. Velswamy, F. Ibrahim, and B. Huang, “Reinforcement learning in process industries: Review and perspective,” IEEE/CAA J. Autom. Sinica, vol. 11, no. 2, pp. 283−300, 2024. doi: 10.1109/JAS.2024.124227
    [6]
    Z. Chen and N. Li, “An optimal control-based distributed reinforcement learning framework for a class of non-convex objective functionals of the multi-agent network,” IEEE/CAA J. Autom. Sinica, vol. 10, no. 11, pp. 2081−2093, 2023. doi: 10.1109/JAS.2022.105992
    [7]
    R. Zhang, Q. Zong, X. Zhang, L. Dou, and B. Tian, “Game of drones: Multi-UAV pursuit-evasion game with online motion planning by deep reinforcement learning,” IEEE Trans. Neural. Netw. Learn. Syst., vol. 34, no. 10, pp. 7900−7909, 2023. doi: 10.1109/TNNLS.2022.3146976
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