Resource allocation optimization for effective vehicle network communications using multi-agent deep reinforcement learning

Serap Ergün

doi:10.3934/jdg.2024017

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Resource allocation optimization for effective vehicle network communications using multi-agent deep reinforcement learning

Serap Ergün

Year: 2024 Journal: Journal of Dynamics and Games Vol: 12 (2)Pages: 134-156 Publisher: American Institute of Mathematical Sciences

DOI: 10.3934/jdg.2024017

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Keywords:

Reinforcement learning Computer science Resource allocation Artificial intelligence Mathematical optimization Distributed computing Computer network Mathematics

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2.95

FWCI (Field Weighted Citation Impact)

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0.87

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Is in top 1%

Is in top 10%

Citation History

Topics

Vehicular Ad Hoc Networks (VANETs)

Physical Sciences → Engineering → Electrical and Electronic Engineering

IoT and Edge/Fog Computing

Physical Sciences → Computer Science → Computer Networks and Communications

Software-Defined Networks and 5G

Physical Sciences → Computer Science → Computer Networks and Communications

Resource allocation optimization for effective vehicle network communications using multi-agent deep reinforcement learning

Metrics

Citation History

Topics

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