High-level Decision Making for Safe and Reasonable Autonomous Lane Changing using Reinforcement Learning

Machine learning techniques have been shown to outperform many rule-based systems for the decision-making of autonomous vehicles. However, applying machine learning is challenging due to the possibility of executing unsafe actions and slow learning rates. We address these issues by presenting a rein...

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Vydané v:	Proceedings (IEEE Conference on Intelligent Transportation Systems) s. 2156 - 2162
Hlavní autori:	Mirchevska, Branka, Pek, Christian, Werling, Moritz, Althoff, Matthias, Boedecker, Joschka
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 01.11.2018
Predmet:	Autonomous vehicles Decision making Road transportation Safety Task analysis
ISBN:	9781728103211, 1728103215
ISSN:	2153-0017
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