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

doi:10.26599/tst.2024.9010164

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JOURNAL ARTICLE

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

Year: 2025 Journal: Tsinghua Science & Technology Vol: 31 (1)Pages: 180-198 Publisher: Tsinghua University Press

DOI: 10.26599/tst.2024.9010164

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Keywords:

Reinforcement learning Agile software development Computer science Satellite Scheduling (production processes) Artificial intelligence Reinforcement Engineering Aerospace engineering Software engineering Operations management Structural engineering

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Satellite Communication Systems

Physical Sciences → Engineering → Aerospace Engineering

Optimization and Search Problems

Physical Sciences → Computer Science → Computer Networks and Communications

Mobile Agent-Based Network Management

Physical Sciences → Computer Science → Computer Networks and Communications

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

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