Assessing the Efficacy of Reinforcement Learning in Enhancing Quality of Service in SD-WANs
Author:
Affiliation:
1. University of Pisa,Dept. of Information Engineering,Pisa,Italy,56122
2. Politecnico di Milano,Information and Bioengineering,Dept. of Electronic,Milan,Italy,20133
3. CNIT - University of Pisa,Dept. of Information Engineering,Pisa,Italy,56122
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10436708/10436716/10437333.pdf?arnumber=10437333
Reference13 articles.
1. On Deep Reinforcement Learning for Traffic Engineering in SD-WAN
2. Experience-driven Networking: A Deep Reinforcement Learning based Approach
3. Structural analysis of network traffic flows
4. DeepNFV: A Lightweight Framework for Intelligent Edge Network Functions Virtualization
5. AI-enabled SD-WAN: the case of Reinforcement Learning
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