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

Siqing Sun; Tianbo Li

doi:10.1109/JAS.2025.125912

IEEE/CAA Journal of Automatica Sinica

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

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S. Sun and T. Li, “Knowledge-assistant deep reinforcement learning for multi-agent region protection,” IEEE/CAA J. Autom. Sinica, 2025. 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, 2025. doi: 10.1109/JAS.2025.125912

S. Sun and T. Li, “Knowledge-assistant deep reinforcement learning for multi-agent region protection,” IEEE/CAA J. Autom. Sinica, 2025. 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, 2025. doi: 10.1109/JAS.2025.125912

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

doi: 10.1109/JAS.2025.125912

Siqing Sun^{,
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Tianbo Li^,

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References

[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, p. 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