A Scalable Deep Reinforcement Learning Approach for Traffic Engineering Based on Link Control-Reference-Cited by-同舟云学术

A Scalable Deep Reinforcement Learning Approach for Traffic Engineering Based on Link Control

Published:2021-01 Issue:1 Volume:25 Page:171-175
ISSN:1089-7798
Container-title:IEEE Communications Letters
language:
Short-container-title:IEEE Commun. Lett.

Author:

Sun Penghao^ORCID,Lan Julong,Li Junfei,Zhang Jianpeng,Hu Yuxiang,Guo Zehua^ORCID

Funder

National Key Research and Development Plan

National Natural Science Fund of China

Beijing Institute of Technology Research Fund Program for Young Scholars, and PCL Future Greater-Bay Area Network Facilities for Large-scale Experiments and Applications

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Modeling and Simulation

Link

http://xplorestaging.ieee.org/ielx7/4234/9317001/09187430.pdf?arnumber=9187430

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