首页|期刊导航|清华大学学报自然科学版（英文版）|A Deep Reinforcement Learning-Based Self-Repair Method for Solving the Agile Satellite Scheduling Problem

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

清华大学学报自然科学版（英文版）2026，Vol.31Issue(1)：180-198,19.

清华大学学报自然科学版（英文版）2026，Vol.31Issue(1)：180-198,19.DOI:10.26599/TST.2024.9010164

A Deep Reinforcement Learning-Based Self-Repair Method for Solving the Agile Satellite Scheduling Problem

Yahui Zuo ¹Ming Chen ¹Xiaolu Liu ¹Yonghao Du ¹Amr Qamar ²Yuan Shang³

作者信息

1. College of Systems Engineering,National University of Defense Technology,Changsha 410073,China
2. Communications Technology Institute,Cairo 11765,Egypt
3. Shandong Provincial Institute of Land Surveying and Mapping,Jinan 250013,China
折叠

摘要

关键词

Deep Reinforcement Learning(DRL)/Self Repair Process(SRP)/Agile Earth Observation Satellite(AEOS)/neural policy model

Key words

Deep Reinforcement Learning(DRL)/Self Repair Process(SRP)/Agile Earth Observation Satellite(AEOS)/neural policy model

引用本文复制引用

Yahui Zuo,Ming Chen,Xiaolu Liu,Yonghao Du,Amr Qamar,Yuan Shang..A Deep Reinforcement Learning-Based Self-Repair Method for Solving the Agile Satellite Scheduling Problem[J].清华大学学报自然科学版（英文版）,2026,31(1):180-198,19.

基金项目

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). （No.72201272）

清华大学学报自然科学版（英文版）

ISSN：1007-0214

访问量0

下载量0

段落导航