Cooperative decision-making algorithm with efficient convergence for UCAV formation in beyond-visual-range air combat based on multi-agent reinforcement learning-Reference-Cited by-同舟云学术

Cooperative decision-making algorithm with efficient convergence for UCAV formation in beyond-visual-range air combat based on multi-agent reinforcement learning

Published:2024-08 Issue:8 Volume:37 Page:311-328
ISSN:1000-9361
Container-title:Chinese Journal of Aeronautics
language:en
Short-container-title:Chinese Journal of Aeronautics

Author:

ZHOU Yaoming,YANG Fan,ZHANG Chaoyue,LI Shida,WANG Yongchao

Funder

Chinese Aeronautical Establishment Aeronautical Science Foundation

Fundamental Research Funds for the Central Universities

National Natural Science Foundation of China

Publisher

Elsevier BV

Reference40 articles.

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2. Algorithms and applications of intelligent swarm cooperative control: A comprehensive survey;Xu;Prog Aerosp Sci,2022

3. Improving multi-target cooperative tracking guidance for UAV swarms using multi-agent reinforcement learning;Zhou;Chin J Aeronaut,2022

4. An autonomous aerial combat framework for two-on-two engagements based on basic fighter maneuvers;Shin;Aerosp Sci Technol,2018

5. Air combat decision-making of multiple UCAVs based on constraint strategy games;Li;Def Technol,2022

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