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Improved Video QoE in Wireless Networks using Deep Reinforcement Learning

 
dc.contributor.authorDuarte Moura, Henrique
dc.contributor.authorOliveira, Junia Maisa
dc.contributor.authorSoares, Daniel
dc.contributor.authorMacedo, Daniel F.
dc.contributor.authorVieira, Marcos A. M.
dc.contributor.imecauthorDuarte Moura, Henrique
dc.contributor.orcidimecDuarte Moura, Henrique::0000-0002-6464-0694
dc.date.accessioned2024-05-21T08:58:57Z
dc.date.available2024-03-15T18:16:45Z
dc.date.available2024-05-21T08:58:57Z
dc.date.issued2023
dc.description.wosFundingTextThis work was financed in part by the Coordenacao de Aperfeicoamento de Pessoal de Nivel Superior -Brasil (CAPES) Finance Code 001, CNPq (funding agency from the Brazilian federal government), FAPEMIG (Minas Gerais State Funding Agency), and Sao Paulo Research Foundation (FAPESP) with Brazilian Internet Steering Committee (CGI.br), grants 2018/23097-3 and 2020/05182-3.
dc.identifier.doi10.23919/CNSM59352.2023.10327822
dc.identifier.eisbn978-3-903176-59-1
dc.identifier.issn2165-9605
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/43687
dc.publisherIEEE
dc.source.conference19th International Conference on Network and Service Management (CNSM) - Network and Service Management in the Era of Generative AI and Digital Twins
dc.source.conferencedateOCT 30-NOV 02, 2023
dc.source.conferencelocationNiagara Falls
dc.source.journalN/A
dc.source.numberofpages7
dc.subject.keywordsQUALITY
dc.subject.keywordsFRAMEWORK
dc.title

Improved Video QoE in Wireless Networks using Deep Reinforcement Learning

dc.typeProceedings paper
dspace.entity.typePublication
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