Special Issue on Deep Reinforcement Learning and Adaptive Dynamic Programming

doi:10.1109/TNNLS.2018.2818878

CASIA OpenIR > 多模态人工智能系统全国重点实验室 > 深度强化学习

	Special Issue on Deep Reinforcement Learning and Adaptive Dynamic Programming
	Zhao, Dongbin1,2,3,4,5,6 ; Liu, Derong 7,8,9,10; Lewis, F. L.11,12,13,14,15,16; Principe, Jose C.8,17,18,19,20,21; Squartini, Stefano 22,23
发表期刊	IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
	2018-06-01
卷号	29 期号:6 页码:2038-2041
文章类型	Editorial Material
WOS标题词	Science & Technology ; Technology
DOI	10.1109/TNNLS.2018.2818878
收录类别	SCI
语种	英语
WOS研究方向	Computer Science ; Engineering
WOS类目	Computer Science, Artificial Intelligence ; Computer Science, Hardware & Architecture ; Computer Science, Theory & Methods ; Engineering, Electrical & Electronic
WOS记录号	WOS:000432398300001
引用统计	被引频次：17[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/22048
专题	多模态人工智能系统全国重点实验室_深度强化学习
作者单位	1.Chinese Acad Sci, Inst Automat, Beijing, Peoples R China 2.Univ Chinese Acad Sci, Beijing, Peoples R China 3.Univ Arizona, Tucson, AZ USA 4.IEEE Computat Intelligence Soc, Adapt Dynam Programming & Reinforcement Learning, Piscataway, NJ USA 5.IEEE Computat Intelligence Soc, Multimedia Subcomm, Piscataway, NJ USA 6.Beijing Chapter, Beijing, Peoples R China 7.Univ Illinois, Elect & Comp Engn & Comp Sci, Chicago, IL USA 8.Int Neural Network Soc, Hoffman Estates, IL USA 9.Int Assoc Pattern Recognit, Hoffman Estates, IL USA 10.Inst Automat, State Key Lab Management & Control Complex Syst, Beijing, Peoples R China 11.Nanjing Univ Sci & Technol, Nanjing, Jiangsu, Peoples R China 12.Northeastern Univ, Shenyang, Liaoning, Peoples R China 13.Natl Acad Inventors, Tampa, FL USA 14.IFAC, Geneva, Switzerland 15.PE Texas, UK Inst Measurement & Control, Austin, TX USA 16.Univ Texas Arlington, Arlington, TX 76019 USA 17.Univ Florida, Elect & Comp Engn & Biomed Engn, Gainesville, FL USA 18.Univ Florida, ECE, Gainesville, FL USA 19.Univ Florida, Computat NeuroEngn Lab CNEL, Gainesville, FL USA 20.Univ Florida, Advisory Board, Inst Brain, Gainesville, FL USA 21.IEEE Signal Proc Soc, Tech Comm Neural Networks, Piscataway, NJ USA 22.UnivPM, Dept Informat Engn, Elect Circuit Theory, Ancona, Italy 23.UnivPM, Ancona, Italy
第一作者单位	中国科学院自动化研究所
推荐引用方式 GB/T 7714	Zhao, Dongbin,Liu, Derong,Lewis, F. L.,et al. Special Issue on Deep Reinforcement Learning and Adaptive Dynamic Programming[J]. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS,2018,29(6):2038-2041.
APA	Zhao, Dongbin,Liu, Derong,Lewis, F. L.,Principe, Jose C.,&Squartini, Stefano.(2018).Special Issue on Deep Reinforcement Learning and Adaptive Dynamic Programming.IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS,29(6),2038-2041.
MLA	Zhao, Dongbin,et al."Special Issue on Deep Reinforcement Learning and Adaptive Dynamic Programming".IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS 29.6(2018):2038-2041.