Weakly Supervised Reinforcement Learning for Autonomous Highway Driving via Virtual Safety Cages

The use of neural networks and reinforcement learning has become increasingly popular in autonomous vehicle control. However, the opaqueness of the resulting control policies presents a significant barrier to deploying neural network-based control in autonomous vehicles. In this paper, we present a...

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Detalles Bibliográficos
Autores principales: Kuutti, Sampo, Bowden, Richard, Fallah, Saber
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8001915/
https://www.ncbi.nlm.nih.gov/pubmed/33805601
http://dx.doi.org/10.3390/s21062032

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8001915/
https://www.ncbi.nlm.nih.gov/pubmed/33805601
http://dx.doi.org/10.3390/s21062032

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