Kohei Shiomoto, Takashi Kurimoto. Policy Gradient-based Deep Reinforcement Learning for Deadline-aware Transfer over Wide Area Networks. In Kohei Shiomoto, Young-Tak Kim, Christian Esteve Rothenberg, Barbara Martini, Eiji Oki, Baek-Young Choi, Noriaki Kamiyama, Stefano Secci, editors, 7th IEEE International Conference on Network Softwarization, NetSoft 2021, Tokyo, Japan, June 28 - July 2, 2021. pages 166-170, IEEE, 2021. [doi]
@inproceedings{ShiomotoK21,
title = {Policy Gradient-based Deep Reinforcement Learning for Deadline-aware Transfer over Wide Area Networks},
author = {Kohei Shiomoto and Takashi Kurimoto},
year = {2021},
doi = {10.1109/NetSoft51509.2021.9492675},
url = {https://doi.org/10.1109/NetSoft51509.2021.9492675},
researchr = {https://researchr.org/publication/ShiomotoK21},
cites = {0},
citedby = {0},
pages = {166-170},
booktitle = {7th IEEE International Conference on Network Softwarization, NetSoft 2021, Tokyo, Japan, June 28 - July 2, 2021},
editor = {Kohei Shiomoto and Young-Tak Kim and Christian Esteve Rothenberg and Barbara Martini and Eiji Oki and Baek-Young Choi and Noriaki Kamiyama and Stefano Secci},
publisher = {IEEE},
isbn = {978-1-6654-0522-5},
}