首页|Multi-UAV cooperative maneuver decision-making for pursuit-evasion using improved MADRL

Multi-UAV cooperative maneuver decision-making for pursuit-evasion using improved MADRL

扫码查看
原文链接
  • NETL
  • NSTL
  • 万方数据
Aiming at the problem of multi-UAV pursuit-evasion confrontation,a UAV cooperative maneuver method based on an improved multi-agent deep reinforcement learning(MADRL)is proposed.In this method,an improved CommNet network based on a communication mechanism is introduced into a deep rein-forcement learning algorithm to solve the multi-agent problem.A layer of gated recurrent unit(GRU)is added to the actor-network structure to remember historical environmental states.Subsequently,another GRU is designed as a communication channel in the CommNet core network layer to refine communication information between UAVs.Finally,the simulation results of the algorithm in two sets of scenarios are given,and the results show that the method has good effectiveness and applicability.

Reinforcement learningUAVManeuver decisionGRUCooperative control

Delin Luo、Zihao Fan、Ziyi Yang、Yang Xu

展开 >

School of Aerospace Engineering,Xiamen University,Xiamen 361102,China

School of Civil Aviation,Northwestern Polytechnical University,Xi'an 710072,China

the National Key Laboratory of Airbased Information Perception and Fusion航空科学基金国家自然科学基金Natural Science Basic Research Plan in Shaanxi Province,ChinaChina Industry-University-Research Innovation Foundation

20220001068001616733272023-JC-QN-07332022IT188

2024

10.1016/j.dt.2023.11.013

防务技术
中国兵工学会

防务技术

CSTPCD
影响因子：0.358
ISSN：2214-9147
年,卷(期)：2024.35(5)
  • 20