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Enhanced exploration for multi-UAV cooperative roundup:An I2C-MATD3 reinforcement learning framework

Bo Li Jingyi Huang Haohui Zhang Liangliang Huai Evgeny Neretin

防务技术2026,Vol.58Issue(4):374-389,16.
防务技术2026,Vol.58Issue(4):374-389,16.DOI:10.1016/j.dt.2025.10.032

Enhanced exploration for multi-UAV cooperative roundup:An I2C-MATD3 reinforcement learning framework

Enhanced exploration for multi-UAV cooperative roundup:An I2C-MATD3 reinforcement learning framework

Bo Li 1Jingyi Huang 1Haohui Zhang 2Liangliang Huai 3Evgeny Neretin4

作者信息

  • 1. School of Electronics and Information,Northwestern Polytechnical University,Xi'an,710129,China
  • 2. Beijing Institute of Engineering Spacecraft System,Beijing,100094,China
  • 3. Leihua Electronic Technology Research Institute,Aviation Industry Corporation of China,Wuxi,641100,China
  • 4. Moscow Aviation Institute,Moscow,125080,Russia
  • 折叠

摘要

关键词

Multi-UAV roundup/Intrinsic curiosity module/Cross-entropy method/Multi-agent reinforcement learning

Key words

Multi-UAV roundup/Intrinsic curiosity module/Cross-entropy method/Multi-agent reinforcement learning

引用本文复制引用

Bo Li,Jingyi Huang,Haohui Zhang,Liangliang Huai,Evgeny Neretin..Enhanced exploration for multi-UAV cooperative roundup:An I2C-MATD3 reinforcement learning framework[J].防务技术,2026,58(4):374-389,16.

基金项目

The authors would like to acknowledge the National Key Lab-oratory of Air-based Information Perception and Fusion(Grant No.202510),the Key Research and Development Program of Shaanxi Province(Grant No.2023-GHZD-33),the Fundamental Research Funds for the Central Universities(Grant No.H20250607),the Open Project of the State Key Laboratory of Intelligent Game(Grant No.ZBKF-23-05),and the National Nature Science Foundation of China(Grant No.62003267)to provide fund for conducting experiments. (Grant No.202510)

防务技术

2214-9147

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