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Multi-Agent Reinforcement Learning-Based Routing and Scheduling Models in Time-Sensitive Networking for Internet of Vehicles Communications Between Transportation Field Cabinets.

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Title: Multi-Agent Reinforcement Learning-Based Routing and Scheduling Models in Time-Sensitive Networking for Internet of Vehicles Communications Between Transportation Field Cabinets.
Authors: Garcia-Cantón, Sergi1, sergi.garcia.canton@upc.edu, Ruiz de Mendoza, Carlos1, Cervelló-Pastor, Cristina1, Sallent, Sebastià1, sebastian.sallent@upc.edu
Source: Applied Sciences (2076-3417); Feb2025, Vol. 15 Issue 3, p1122, 22p
Database: Applied Science & Technology Source
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Header DbId: aci
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PubType: Academic Journal
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PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=182988474
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        Value: 10.3390/app15031122
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      – Code: eng
        Text: English
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        PageCount: 22
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      – TitleFull: Multi-Agent Reinforcement Learning-Based Routing and Scheduling Models in Time-Sensitive Networking for Internet of Vehicles Communications Between Transportation Field Cabinets.
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              Text: Feb2025
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              Y: 2025
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