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Deep reinforcement learning based integrated evasion and impact hierarchical intelligent policy of exo-atmospheric vehicles

Leliang REN Weilin GUO Yong XIAN Zhenyu LIU Daqiao ZHANG Shaopeng LI

Chinese Journal of Aeronautics2025,Vol.38Issue(1):P.409-426,18.
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

Leliang REN 1Weilin GUO 2Yong XIAN 1Zhenyu LIU 1Daqiao ZHANG 1Shaopeng LI3

作者信息

  • 1. Xi’an Research Institute of High Technology,Xi’an 710025,China
  • 2. China Xi’an Satellite Control Center,Xi’an,710043,China
  • 3. Xi’an Research Institute of High Technology,Xi’an 710025,China Department of Automation,Tsinghua University,Beijing 100084,China
  • 折叠

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)

Chinese Journal of Aeronautics

1000-9361

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