Reinforcement Learning-Guided Evolutionary Policy Optimization for Preference-Adjustable Heterogeneous Agile Earth Observation Satellite Scheduling
- DOI
- 10.48550/arxiv.2608.24470
- Published
- 2026
- Container
- Not recorded
- Publisher
- arXiv
- Open access
- no
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Cite this work
BibTeX
@article{allodium:10.48550/arxiv.2608.24470,
title = {Reinforcement Learning-Guided Evolutionary Policy Optimization for Preference-Adjustable Heterogeneous Agile Earth Observation Satellite Scheduling},
author = {Wang, He and Wu, Junyu and Li, Hui and Song, Yanjie and Pedrycz, Witold and Li, Liang},
year = {2026},
doi = {10.48550/arxiv.2608.24470},
url = {https://doi.org/10.48550/arxiv.2608.24470}
}RIS
TY - JOUR TI - Reinforcement Learning-Guided Evolutionary Policy Optimization for Preference-Adjustable Heterogeneous Agile Earth Observation Satellite Scheduling AU - Wang, He AU - Wu, Junyu AU - Li, Hui AU - Song, Yanjie AU - Pedrycz, Witold AU - Li, Liang PY - 2026 DO - 10.48550/arxiv.2608.24470 UR - https://doi.org/10.48550/arxiv.2608.24470 ER -
APA
He, W., Junyu, W., Hui, L., Yanjie, S., Witold, P., & Liang, L. (2026). Reinforcement Learning-Guided Evolutionary Policy Optimization for Preference-Adjustable Heterogeneous Agile Earth Observation Satellite Scheduling. https://doi.org/10.48550/arxiv.2608.24470
Source records
- datacite · retrieved 2026-11-10T13:25:02.853Z