Research on the Application of Reinforcement Learning Algorithm in Decision Support of Beyond-Visual-Range Air Combat

Research on the Application of Reinforcement Learning Algorithm in Decision Support of Beyond-Visual-Range Air Combat

In order to solve problems of the action selection space and the difficulty of convergence of traditional proximal policy optimization algorithm in air combat simulation, proximal policy hierarchical optimization algorithm is proposed. The framework of intelligent decision model of air combat based...

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Autor principal: Wu Yijia, Lai Jun, Chen Xiliang, Cao Lei, Xu Peng
Formato: article
Lenguaje:ZH
Publicado: Editorial Office of Aero Weaponry 2021
Materias:
|beyond-visual-range air combat|intelligent decision|artificial intelligence|reinforcement learning|proximal policy optimization algorithm|hierarchical reinforcement learning
Motor vehicles. Aeronautics. Astronautics
TL1-4050
Acceso en línea:https://doaj.org/article/9f7cc1baef144ea29add1b321d811e83
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