Publication:

RETRACTED: Feudal Multiagent Reinforcement Learning for Interdomain Collaborative Routing Optimization

Date

2022
Journal article
https://doi.org/10.1155/2022/1231979
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cris.virtual.department#PLACEHOLDER_PARENT_METADATA_VALUE#
cris.virtual.orcid0000-0003-4824-1199
cris.virtualsource.department505a9fa2-2261-4859-8c77-73c2ba21244c
cris.virtualsource.orcid505a9fa2-2261-4859-8c77-73c2ba21244c
dc.contributor.authorLi, Zhuo
dc.contributor.authorZhou, Xu
dc.contributor.authorDe Turck, Filip
dc.contributor.authorLi, Taixin
dc.contributor.authorRen, Yongmao
dc.contributor.authorQin, Yifang
dc.contributor.imecauthorLi, Zhuo
dc.contributor.imecauthorDe Turck, Filip
dc.contributor.orcidimecDe Turck, Filip::0000-0003-4824-1199
dc.date.accessioned2022-08-29T10:00:39Z
dc.date.available2022-07-04T02:26:40Z
dc.date.available2022-07-05T09:29:31Z
dc.date.available2022-08-29T10:00:39Z
dc.date.embargo2023-07-26
dc.date.issued2022
dc.description.wosFundingTextThis work was supported by the National Key R&D Program of China (Grant No. 2018YFB1800100); the National Natural Science Foundation of China (Grant No. U1909204); the Beijing Natural Science Foundation, China (Grant No. 4202082); and the Open Research Projects of Zhejiang Lab (Grant No. 2021LC0AB03).
dc.identifier.doi10.1155/2022/1231979
dc.identifier.issn1530-8669
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/40058
dc.publisherWILEY-HINDAWI
dc.source.beginpageID1231979
dc.source.issue/
dc.source.journalWIRELESS COMMUNICATIONS & MOBILE COMPUTING
dc.source.numberofpages11
dc.source.volume2022
dc.subject.keywordsQOS
dc.title

RETRACTED: Feudal Multiagent Reinforcement Learning for Interdomain Collaborative Routing Optimization

dc.typeJournal article
dspace.entity.typePublication
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