Safe Decision Controller for Autonomous DrivingBased on Deep Reinforcement Learning inNondeterministic Environment

Autonomous driving systems are crucial complicated cyber–physical systems that combine physical environment awareness with cognitive computing. Deep reinforcement learning is currently commonly used in the decision-making of such systems. However, black-box-based deep reinforcement learning systems...

Descripción completa

Detalles Bibliográficos
Autores principales: Chen, Hongyi, Zhang, Yu, Bhatti, Uzair Aslam, Huang, Mengxing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9919952/
https://www.ncbi.nlm.nih.gov/pubmed/36772238
http://dx.doi.org/10.3390/s23031198

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9919952/
https://www.ncbi.nlm.nih.gov/pubmed/36772238
http://dx.doi.org/10.3390/s23031198

Ejemplares similares