A Safe and Efficient Lane Change Decision-Making Strategy of Autonomous Driving Based on Deep Reinforcement Learning

A Safe and Efficient Lane Change Decision-Making Strategy of Autonomous Driving Based on Deep Reinforcement Learning

As an indispensable branch of machine learning (ML), reinforcement learning (RL) plays a prominent role in the decision-making process of autonomous driving (AD), which enables autonomous vehicles (AVs) to learn an optimal driving strategy through continuous interaction with the environment. This pa...

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Bibliographic Details
Main Authors: Kexuan Lv, Xiaofei Pei, Ci Chen, Jie Xu
Format: Article
Language:English
Published: MDPI AG 2022-05-01
Series:Mathematics
Subjects:
autonomous driving
decision-making
lane changing
reinforcement learning
DDPG
safety
Online Access:https://www.mdpi.com/2227-7390/10/9/1551

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https://www.mdpi.com/2227-7390/10/9/1551

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