Improving the Traffic Engineering of SDN networks by using Local Multi-Agent Deep Reinforcement Learning
Author:
Affiliation:
1. University of Extremadura,Dept. of Computer Systems and Telematics Engineering,Cáceres,Spain
Funder
Ministry of Economy
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10574855/10574897/10575465.pdf?arnumber=10575465
Reference29 articles.
1. Applications of Deep Reinforcement Learning in Communications and Networking: A Survey
2. Reinforcement Learning Based Routing in Networks: Review and Classification of Approaches
3. A Survey on Internet Multipath Routing and Provisioning
4. Enabling Scalable Routing in Software-Defined Networks With Deep Reinforcement Learning on Critical Nodes
5. Supervised machine learning: A review of classification techniques;Kotsiantis
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