Safe decision-making for lane-change of autonomous vehicles via human demonstration-aided reinforcement learning

Safe decision-making for lane-change of autonomous vehicles via human demonstration-aided reinforcement learning

Decision-making is critical for lane change in autonomous driving. Reinforcement learning (RL) algorithms aim to identify the values of behaviors in various situations and thus they become a promising pathway to address the decision- making problem. However, poor runtime safety hinders RL- based dec...

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Bibliographic Details
Main Authors: Wu, Jingda, Huang, Wenhui, de Boer, Niels, Mo, Yanghui, He, Xiangkun, Lv, Chen
Other Authors: School of Mechanical and Aerospace Engineering
Format: Conference Paper
Language:English
Published: 2023
Subjects:
Engineering::Civil engineering::Transportation
Engineering::Mechanical engineering::Motor vehicles
Training
Measurement
Runtime
Online Access:https://hdl.handle.net/10356/166841

Internet

https://hdl.handle.net/10356/166841

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