Deep Reinforcement Learning for Perception and Control of Autonomous Vehicles

doi:10.1088/1742-6596/2278/1/012002

CORC > 自动化研究所 > 中国科学院自动化研究所 > 复杂系统管理与控制国家重点实验室 > 影像分析与机器视觉团队

	Deep Reinforcement Learning for Perception and Control of Autonomous Vehicles
	Zhao,Dongbin
刊名	Journal of Physics: Conference Series
	2022-05-01
卷号	2278 期号:1
ISSN号	1742-6588
DOI	10.1088/1742-6596/2278/1/012002
英文摘要	Abstract Deep reinforcement learning is an effective combination of the decision-making ability of reinforcement learning and the perceptual ability of deep learning, which has achieved a series of milestones in the field of artificial intelligence in recent years. This method has also obtained many beneficial attempts in the field of intelligent driving, which has strongly promoted the development and progress of key technologies of autonomous vehicles. This report briefly reviews the development of deep reinforcement learning methods and specifically introduces the research progress of my team in perception and decision making of autonomous vehicles based on deep reinforcement learning methods.
语种	英语
出版者	IOP Publishing
WOS记录号	IOP:JPCS_2278_1_012002
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/51804]
专题	自动化研究所_复杂系统管理与控制国家重点实验室_影像分析与机器视觉团队
作者单位	Institute of Automation, Chinese Academy of Sciences, China
推荐引用方式 GB/T 7714	Zhao,Dongbin. Deep Reinforcement Learning for Perception and Control of Autonomous Vehicles[J]. Journal of Physics: Conference Series,2022,2278(1).
APA	Zhao,Dongbin.(2022).Deep Reinforcement Learning for Perception and Control of Autonomous Vehicles.Journal of Physics: Conference Series,2278(1).
MLA	Zhao,Dongbin."Deep Reinforcement Learning for Perception and Control of Autonomous Vehicles".Journal of Physics: Conference Series 2278.1(2022).