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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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Bibliografische gegevens
Gepubliceerd in:Sensors (Basel)
Hoofdauteurs: Wu, Keyu, Abolfazli Esfahani, Mahdi, Yuan, Shenghai, Wang, Han
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: MDPI 2018
Onderwerpen:
Online toegang:https://ncbi.nlm.nih.gov/pmc/articles/PMC6263476/
https://ncbi.nlm.nih.gov/pubmed/30373261
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s18113650
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