Deep Reinforcement Learning-Based RMSA Policy Distillation for Elastic Optical Networks
- DOI
- 10.3390/math10183293
- Published
- 09
- Container
- Mathematics
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.3390/math10183293,
title = {Deep Reinforcement Learning-Based RMSA Policy Distillation for Elastic Optical Networks},
author = {Bixia Tang and Yue-Cai Huang and Yun Xue and Weixing Zhou},
year = {2022},
journal = {Mathematics},
doi = {10.3390/math10183293},
url = {https://doi.org/10.3390/math10183293}
}RIS
TY - JOUR TI - Deep Reinforcement Learning-Based RMSA Policy Distillation for Elastic Optical Networks AU - Bixia Tang AU - Yue-Cai Huang AU - Yun Xue AU - Weixing Zhou PY - 2022 JO - Mathematics DO - 10.3390/math10183293 UR - https://doi.org/10.3390/math10183293 ER -
APA
Tang, B., Huang, Y., Xue, Y., & Zhou, W. (2022). Deep Reinforcement Learning-Based RMSA Policy Distillation for Elastic Optical Networks. Mathematics. https://doi.org/10.3390/math10183293
Source records
- doaj · retrieved 2026-11-10T06:39:50.785Z