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Dokumenttyp:
Konferenzbeitrag 
Autor(en):
Branka Mirchevska, Christian Pek, Moritz Werling, Matthias Althoff, Joschka Boedecker 
Titel:
High-level Decision Making for Safe and Reasonable Autonomous Lane Changing using Reinforcement Learning 
Abstract:
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 reinforcement learning-based approach, which is combined with formal safety verification to ensure that only safe actions are chosen at any time. We let a deep reinforcement learning (RL) agent learn to d...    »
 
Kongress- / Buchtitel:
Proc. of the IEEE Int. Conf. on Intelligent Transportation Systems 
Jahr:
2018