Learn to Steer through Deep Reinforcement Learning

It is crucial for robots to autonomously steer in complex environments safely without colliding with any obstacles. Compared to conventional methods, deep reinforcement learning-based methods are able to learn from past experiences automatically and enhance the generalization capability to cope with...

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Detalles Bibliográficos
Autores principales: Wu, Keyu, Abolfazli Esfahani, Mahdi, Yuan, Shenghai, Wang, Han
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6263476/
https://www.ncbi.nlm.nih.gov/pubmed/30373261
http://dx.doi.org/10.3390/s18113650

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6263476/
https://www.ncbi.nlm.nih.gov/pubmed/30373261
http://dx.doi.org/10.3390/s18113650

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