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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Автори:	Kexuan Lv, Xiaofei Pei, Ci Chen, Jie Xu
Формат:	Artigo
Мова:	Inglês
Опубліковано:	MDPI AG 2022-05-01
Серія:	Mathematics
Предмети:	autonomous driving decision-making lane changing reinforcement learning DDPG safety
Онлайн доступ:	https://www.mdpi.com/2227-7390/10/9/1551
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