A Distributed Double Deep Q-Learning Method for Object Redundancy Mitigation in Vehicular Networks

Author:

Ghnaya Imed1,Aniss Hasnaâ2,Ahmed Toufik1,Mosbah Mohamed1

Affiliation:

1. Univ. Bordeaux, Bordeaux INP,CNRS, LaBRI, UMR5800,Talence,France,F-33400

2. Gustave Eiffel University,COSYS-ERENA Lab,Bordeaux,France,F-33067

Publisher

IEEE

Reference13 articles.

1. Michael & Bieker-Walz, Laura. (2012);krajzewicz;Recent Development and Applications of SUMO - Simulation of Urban Mobility " International Journal On Advances in Systems and Measurements,0

2. Artery: Extending Veins for VANET applications

3. Deep Reinforcement Learning-based Context-Aware Redundancy Mitigation for Vehicular Collective Perception Services

4. Context-aware content selection and message generation for collective perception services;chtourou;Electronics,2021

5. Intelligent Transport Systems (ITS); ITS-G5 Access layer specification for Intelligent Transport Systems operating in the 5 GHz frequency bands,2020

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