A Deep Reinforcement Learning-Based Self-Repair Method for Solving the Agile Satellite Scheduling ProblemOA
A Deep Reinforcement Learning-Based Self-Repair Method for Solving the Agile Satellite Scheduling Problem
Yahui Zuo;Ming Chen;Xiaolu Liu;Yonghao Du;Amr Qamar;Yuan Shang
College of Systems Engineering,National University of Defense Technology,Changsha 410073,ChinaCollege of Systems Engineering,National University of Defense Technology,Changsha 410073,ChinaCollege of Systems Engineering,National University of Defense Technology,Changsha 410073,ChinaCollege of Systems Engineering,National University of Defense Technology,Changsha 410073,ChinaCommunications Technology Institute,Cairo 11765,EgyptShandong Provincial Institute of Land Surveying and Mapping,Jinan 250013,China
Deep Reinforcement Learning(DRL)Self Repair Process(SRP)Agile Earth Observation Satellite(AEOS)neural policy model
Deep Reinforcement Learning(DRL)Self Repair Process(SRP)Agile Earth Observation Satellite(AEOS)neural policy model
《清华大学学报自然科学版（英文版）》 2026 (1)
180-198,19
This work was supported by the National Natural Science Foundation of China(No.72201272),the Science and Technology Innovation Team of Shaanxi Province(No.2023-CX-TD-07),and the Key R&D Program Projects in Shaanxi Province(No.2024GH-ZDXM-48).
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