Action Constrained Deep Reinforcement Learning Based Safe Automatic Driving Method

With the development of artificial intelligence,the field of autonomous driving is also growing.The deep reinforcement learning (DRL) method is one of the main research methods in this field.DRL algorithms have been reported to achieve excellent performance in many control tasks.However,the unconstr...

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Главный автор:	DAI Shan-shan, LIU Quan
Формат:	Artigo
Язык:	Chinês
Опубликовано:	Editorial office of Computer Science 2021-09-01
Серии:	Jisuanji kexue
Предметы:	safe automatic driving|deep reinforcement learning|soft actor-critic|lane-keeping|driverless cars
Online-ссылка:	http://www.jsjkx.com/fileup/1002-137X/PDF/1002-137X-2021-9-235.pdf
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