Multi-Agent Reinforcement Learning with Graph Convolutional Networks for Collaborative Task Scheduling in Distributed Virtual Reality Systems.
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| Title: | Multi-Agent Reinforcement Learning with Graph Convolutional Networks for Collaborative Task Scheduling in Distributed Virtual Reality Systems. |
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| Authors: | Zhao, JieChen1, zhaojiechen2025@163.com |
| Source: | Journal of Computing & Information Technology; Dec2025, Vol. 33 Issue 4, p249-266, 18p |
| Database: | Applied Science & Technology Source |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 191479139 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Multi-Agent Reinforcement Learning with Graph Convolutional Networks for Collaborative Task Scheduling in Distributed Virtual Reality Systems. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Zhao%2C+JieChen%22">Zhao, JieChen</searchLink><relatesTo>1</relatesTo>, <i>zhaojiechen2025@163.com</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Journal+of+Computing+%26+Information+Technology%22">Journal of Computing & Information Technology</searchLink>; Dec2025, Vol. 33 Issue 4, p249-266, 18p |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=191479139 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.20532/cit.2025.1006202 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 18 StartPage: 249 Titles: – TitleFull: Multi-Agent Reinforcement Learning with Graph Convolutional Networks for Collaborative Task Scheduling in Distributed Virtual Reality Systems. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Zhao, JieChen IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 12 Text: Dec2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 13301136 Numbering: – Type: volume Value: 33 – Type: issue Value: 4 Titles: – TitleFull: Journal of Computing & Information Technology Type: main |
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