Adaptive Dynamic Programming: An Introduction
Fei-Yue Wang1,2; Huaguang Zhang3; Derong Liu1
Source PublicationIEEE Computational Intelligence Magazine
AbstractIn this article, we introduce some recent research trends
within the field of adaptive/approximate dynamic programming
(ADP), including the variations on the structure of ADP
schemes, the development of ADP algorithms and applications
of ADP schemes. For ADP algorithms, the point of focus is that
iterative algorithms of ADP can be sorted into two classes: one
class is the iterative algorithm with initial stable policy; the other
is the one without the requirement of initial stable policy. It is
generally believed that the latter one has less computation at the
cost of missing the guarantee of system stability during iteration
process. In addition, many recent papers have provided convergence
analysis associated with the algorithms developed. Furthermore,
we point out some topics for future studies.
KeywordAdaptive Dynamic Programming
Document Type期刊论文
Corresponding AuthorFei-Yue Wang
Affiliation1.Chinese Academy of Sciences,CHINA
2.University of Arizona, USA
3.Northeastern University, CHINA
Recommended Citation
GB/T 7714
Fei-Yue Wang,Huaguang Zhang,Derong Liu. Adaptive Dynamic Programming: An Introduction[J]. IEEE Computational Intelligence Magazine,2009,4(2):39-47.
APA Fei-Yue Wang,Huaguang Zhang,&Derong Liu.(2009).Adaptive Dynamic Programming: An Introduction.IEEE Computational Intelligence Magazine,4(2),39-47.
MLA Fei-Yue Wang,et al."Adaptive Dynamic Programming: An Introduction".IEEE Computational Intelligence Magazine 4.2(2009):39-47.
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