首页|期刊导航|Chinese Journal of Aeronautics|Deep reinforcement learning based integrated evasion and impact hierarchical intelligent policy of exo-atmospheric vehicles
Chinese Journal of Aeronautics2025,Vol.38Issue(1):P.409-426,18.DOI:10.1016/j.cja.2024.08.024
Deep reinforcement learning based integrated evasion and impact hierarchical intelligent policy of exo-atmospheric vehicles
摘要
关键词
Exo-atmospheric vehicle/Integrated evasion and impact/Deep reinforcement learning/Hierarchical intelligent policy/Single-chip microcomputer/Miss distance分类
军事科技引用本文复制引用
Leliang REN,Weilin GUO,Yong XIAN,Zhenyu LIU,Daqiao ZHANG,Shaopeng LI..Deep reinforcement learning based integrated evasion and impact hierarchical intelligent policy of exo-atmospheric vehicles[J].Chinese Journal of Aeronautics,2025,38(1):P.409-426,18.基金项目
co-supported by the National Natural Science Foundation of China(No.62103432) (No.62103432)
the China Postdoctoral Science Foundation(No.284881) (No.284881)
the Young Talent fund of University Association for Science and Technology in Shaanxi,China(No.20210108)。 (No.20210108)