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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...
Autores principales: | Yao, Jialing, Ge, Zhen |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
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 |
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