A Comprehensive Survey on Multi-Agent Reinforcement Learning for Connected and Automated Vehicles

Connected and automated vehicles (CAVs) require multiple tasks in their seamless maneuverings. Some essential tasks that require simultaneous management and actions are motion planning, traffic prediction, traffic intersection management, etc. A few of them are complex in nature. Multi-agent reinfor...

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Detalles Bibliográficos
Autores principales: Yadav, Pamul, Mishra, Ashutosh, Kim, Shiho
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10221654/
https://www.ncbi.nlm.nih.gov/pubmed/37430623
http://dx.doi.org/10.3390/s23104710

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10221654/
https://www.ncbi.nlm.nih.gov/pubmed/37430623
http://dx.doi.org/10.3390/s23104710

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