航空工程进展2025，Vol.16Issue(3)：1-16,16.DOI:10.16615/j.cnki.1674-8190.2025.03.01
面向智能空战的深度强化学习技术综述
A survey of deep reinforcement learning technologies for intelligent air combat
摘要
Abstract
Major aviation nations and related research institutions are focusing on exploration and research of key technologies for intelligent air combat.Deep reinforcement learning combines the perceptual ability of deep learning with the decision-making ability of reinforcement learning,demonstrating significant advantages in the emergence of air combat capabilities.Based on the urgent needs of intelligent air combat development,the points of integration with the air combat field are explored by analyzing and summarizing the mainstream algorithms in the field of deep reinforcement learning.From the perspective of algorithm implementation,the key technologies of deep reinforce-ment learning in air combat are pointed out.By sorting out the current cutting-edge technological achievements in the field of air combat,it is concluded that the future research on deep reinforcement learning will develop from sin-gle-to-single air combat to cluster air combat.The challenges algorithm faced are proposed,which can provide the reference and guidance for the development of intelligent algorithms in intelligent air combat.关键词
智能空战/深度强化学习/作战飞机/关键技术/发展趋势Key words
intelligent air combat/deep reinforcement learning/combat aircraft/key technologies/development trend引用本文复制引用
李霓,廉云霄,周攀,谢锋,汤志荔,周浩然,陈军..面向智能空战的深度强化学习技术综述[J].航空工程进展,2025,16(3):1-16,16.基金项目
国家自然科学基金(52372398,61305133) （52372398,61305133）
