Aerial Combat Maneuver Decision Method for Unmanned Aerial Vehicles Based on Deep Reinforcement Learning

Unmanned Aerial Vehicle (UAV) close-range air combat environments are complex, with rapid changes in enemy aircraft maneuvers. Considering the difficulty of autonomous maneuvering decision-making for UAVs with six Degrees of Freedom (6DOF) in such environments, a hierarchical framework-based Proxima...

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Egile nagusia:	ZHANG Xiangrui, TAN Tai, LI Hui, ZHANG Jianwei, LI Bowen
Formatua:	Artigo
Hizkuntza:	Inglês
Argitaratua:	Editorial Office of Computer Engineering 2025-12-01
Saila:	Jisuanji gongcheng
Gaiak:	unmanned aerial vehicle (uav)|proximal policy optimization (ppo) algorithm|six degrees of freedom|dual reward (dr)|hierarchical framework
Sarrera elektronikoa:	https://www.ecice06.com/fileup/1000-3428/PDF/20251230.pdf
Etiketak:	Etiketa erantsi Etiketarik gabe, Izan zaitez lehena erregistro honi etiketa jartzen!