Computing power network dynamic resource scheduling integrating time series mixing dynamic state estimation and hierarchical reinforcement learning.
- DOI
- 10.1038/s41598-025-32753-w
- Published
- 2026 Jan 4
- Container
- Scientific reports
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1038/s41598-025-32753-w,
title = {Computing power network dynamic resource scheduling integrating time series mixing dynamic state estimation and hierarchical reinforcement learning.},
author = {Liu H and Zhang S and Li L and Sun T and Xue W and Yao X and Xu Y},
year = {2026},
journal = {Scientific reports},
doi = {10.1038/s41598-025-32753-w},
url = {https://doi.org/10.1038/s41598-025-32753-w}
}RIS
TY - JOUR TI - Computing power network dynamic resource scheduling integrating time series mixing dynamic state estimation and hierarchical reinforcement learning. AU - Liu H AU - Zhang S AU - Li L AU - Sun T AU - Xue W AU - Yao X AU - Xu Y PY - 2026 JO - Scientific reports DO - 10.1038/s41598-025-32753-w UR - https://doi.org/10.1038/s41598-025-32753-w ER -
APA
H, L., S, Z., L, L., T, S., W, X., X, Y., & Y, X. (2026). Computing power network dynamic resource scheduling integrating time series mixing dynamic state estimation and hierarchical reinforcement learning.. Scientific reports. https://doi.org/10.1038/s41598-025-32753-w
Source records
- pubmed · retrieved 2026-09-26T05:26:58.630Z