Cooperative Multi-Agent Deep Reinforcement Learning for Dynamic Task Execution and Resource Allocation in Vehicular Edge Computing

Robert F. Rauch; Zdeněk Bečvář; Pavel Mach; Juraj Gazda

doi:10.1109/tvt.2024.3520637

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Cooperative Multi-Agent Deep Reinforcement Learning for Dynamic Task Execution and Resource Allocation in Vehicular Edge Computing

Robert F. Rauch Zdeněk Bečvář Pavel Mach Juraj Gazda

Year: 2024 Journal: IEEE Transactions on Vehicular Technology Vol: 74 (4)Pages: 5741-5756 Publisher: Institute of Electrical and Electronics Engineers

DOI: 10.1109/tvt.2024.3520637

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Keywords:

Reinforcement learning Computer science Task (project management) Resource allocation Resource management (computing) Distributed computing Edge computing Enhanced Data Rates for GSM Evolution Resource (disambiguation) Computer network Artificial intelligence Engineering Systems engineering

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0.82

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Topics

Transportation and Mobility Innovations

Physical Sciences → Engineering → Automotive Engineering

Blockchain Technology Applications and Security

Physical Sciences → Computer Science → Information Systems

Vehicular Ad Hoc Networks (VANETs)

Physical Sciences → Engineering → Electrical and Electronic Engineering

Cooperative Multi-Agent Deep Reinforcement Learning for Dynamic Task Execution and Resource Allocation in Vehicular Edge Computing

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Citation History

Topics

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