Deep Reinforcement Learning Applied to Computation Offloading of Vehicular Applications: A Comparison-Reference-Cited by-同舟云学术

Deep Reinforcement Learning Applied to Computation Offloading of Vehicular Applications: A Comparison

Published:2022-08-22 Issue: Volume: Page:
ISSN:
Container-title:2022 International Balkan Conference on Communications and Networking (BalkanCom)
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Author:

Ferens Mieszko¹,Hortelano Diego²,de Miguel Ignacio³,Duran Barroso Ramon J.³,Aguado Juan Carlos³,Ruiz Lidia³,Merayo Noemi³,Fernandez Patricia³,Lorenzo Ruben M.³,Abril Evaristo J.³

Affiliation:

1. Universidad de Valladolid and Aalborg Universitet,Valladolid,Spain/Denmark

2. Universidad Rey Juan Carlos and Universidad de Valladolid,Madrid/Valladolid,Spain

3. Universidad de Valladolid,Valladolid,Spain

Funder

European Regional Development Fund

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9900485/9900511/09900545.pdf?arnumber=9900545

Reference19 articles.

1. CPU Scheduling Techniques: A Review on Novel Approaches Strategy and Performance Assesment;majedkan;J Appl Sci Technol Trends,2020

2. A Multi-Threaded Dynamic Bandwidth and Wavelength Allocation Scheme With Void Filling for Long Reach WDM/TDM PONs

3. Deep Reinforcement Learning with Double Q-Learning

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