Path-Tracking Control Strategy of Unmanned Vehicle Based on DDPG Algorithm

This paper proposes a deep reinforcement learning (DRL)-based algorithm in the path-tracking controller of an unmanned vehicle to autonomously learn the path-tracking capability of the vehicle by interacting with the CARLA environment. To solve the problem of the high estimation of the Q-value of th...

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Detalles Bibliográficos
Autores principales: Yao, Jialing, Ge, Zhen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9610039/
https://www.ncbi.nlm.nih.gov/pubmed/36298232
http://dx.doi.org/10.3390/s22207881

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9610039/
https://www.ncbi.nlm.nih.gov/pubmed/36298232
http://dx.doi.org/10.3390/s22207881

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