Cao, Hai https://orcid.org/0000-0001-9578-6613
Hu, Shaoming https://orcid.org/0000-0003-3217-7794
Du, Junju https://orcid.org/0000-0002-8571-8235
Chen, Xu https://orcid.org/0000-0001-5603-7521
Liu, Shuqi
Feng, Shuai https://orcid.org/0000-0001-7288-7251
Zhang, Bo
Jiang, Yuchen
Funding for this research was provided by:
MOST ∣ National Key Research and Development Program of China (2023YFA1608304)
MOST ∣ National Natural Science Foundation of China (12373015)
Article Title: Deep Reinforcement Learning for Efficient Scheduling of Ground-based Astronomical Observations
Journal Title: The Astronomical Journal
Article Type: paper
Copyright Information: © 2025. The Author(s). Published by the American Astronomical Society.
Publication dates
Date Received: 2025-05-07
Date Accepted: 2025-06-10
Online publication date: 2025-07-14