MAD-HKD：一种基于多智能体深度确定性策略梯度与分层知识蒸馏的无人机异常检测方法

杨宏宇; 刘畅; 赵子文; 刘超

doi:10.13700/j.bh.1001-5965.2026.0287

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MAD-HKD：一种基于多智能体深度确定性策略梯度与分层知识蒸馏的无人机异常检测方法

杨宏宇, 刘畅, 赵子文, 刘超

文章导航 > 北京航空航天大学学报 > 优先出版

杨宏宇, 刘畅, 赵子文, 等 . MAD-HKD：一种基于多智能体深度确定性策略梯度与分层知识蒸馏的无人机异常检测方法[J]. 北京航空航天大学学报. doi: 10.13700/j.bh.1001-5965.2026.0287

引用本文:

Yang Hongyu, Liu Chang, Zhao Ziwen, et al. MAD-HKD: A UAV Anomaly Detection Method Based on Multi-Agent Deep Deterministic Policy Gradient and Hierarchical Knowledge Distillation[J]. Journal of Beijing University of Aeronautics and Astronautics. doi: 10.13700/j.bh.1001-5965.2026.0287(in Chinese)

Citation:

Yang Hongyu, Liu Chang, Zhao Ziwen, et al. MAD-HKD: A UAV Anomaly Detection Method Based on Multi-Agent Deep Deterministic Policy Gradient and Hierarchical Knowledge Distillation[J]. Journal of Beijing University of Aeronautics and Astronautics. doi: 10.13700/j.bh.1001-5965.2026.0287(in Chinese)

引用本文:

Citation:

Yang Hongyu, Liu Chang, Zhao Ziwen, et al. MAD-HKD: A UAV Anomaly Detection Method Based on Multi-Agent Deep Deterministic Policy Gradient and Hierarchical Knowledge Distillation[J]. Journal of Beijing University of Aeronautics and Astronautics. doi: 10.13700/j.bh.1001-5965.2026.0287(in Chinese)