<?xml version="1.0" encoding="US-ASCII"?>
<dblp>
<article key="journals/taes/LongSSLW24" mdate="2025-09-16">
<author orcid="0009-0007-6592-5396">Yaosong Long</author>
<author orcid="0009-0000-0059-6308">Chengjun Shan</author>
<author orcid="0000-0002-6788-4969">Wei Shang</author>
<author>Jin Li</author>
<author orcid="0000-0003-2666-836X">Yulin Wang 0005</author>
<title>Deep Reinforcement Learning-Based Approach With Varying-Scale Generalization for the Earth Observation Satellite Scheduling Problem Considering Resource Consumptions and Supplements.</title>
<pages>2572-2585</pages>
<year>2024</year>
<month>June</month>
<volume>60</volume>
<journal>IEEE Trans. Aerosp. Electron. Syst.</journal>
<number>3</number>
<ee>https://doi.org/10.1109/TAES.2024.3379169</ee>
<url>db/journals/taes/taes60.html#LongSSLW24</url>
</article>
</dblp>
