A Review on Deep Reinforcement Learning for the management of SDN and NFV in Edge-IoT-Reference-Cited by-同舟云学术

A Review on Deep Reinforcement Learning for the management of SDN and NFV in Edge-IoT

Published:2021-12 Issue: Volume: Page:
ISSN:
Container-title:2021 IEEE Globecom Workshops (GC Wkshps)
language:
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Author:

Alonso Ricardo S.,Prieto Javier,La Prieta Fernando de,Rodriguez-Gonzalez Sara,Corchado Juan M.

Funder

European Regional Development Fund

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9681915/9681831/09682179.pdf?arnumber=9682179

Reference72 articles.

1. Deep reinforecement learning based optimal defense for cyber-physical system in presence of unknown cyber-attack

2. Smart resource allocation for mobile edge computing: A deep reinforcement learning approach;wang;IEEE Transactions on Emerging Topics in Computing,2019

3. Edge Computing, IoT and Social Computing in Smart Energy Scenarios

4. Multi-objective optimization of the environmental-economic dispatch with reinforcement learning based on non-dominated sorting genetic algorithm

5. Evolutionary Algorithms for Reinforcement Learning

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