Policy Gradient-based Deep Reinforcement Learning for Deadline-aware Transfer over Wide Area Networks - researchr publication authors

researchr

You are not signed in
Sign in
Sign up

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]

This author has not been identified. Look up 'Kohei Shiomoto' in GoogleThis author has not been identified. Look up 'Takashi Kurimoto' in Google

runs on WebDSL