articleIEEE Computational Intelligence MagazineApr 24, 2009Closed access

Adaptive Dynamic Programming: An Introduction

University of Arizona · Northeastern University

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Abstract

In 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…

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894
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FWCI
41.12
Percentile
100%
References
117
Citations per year

Authors

3

Topics & keywords

Keywords
  • Computer science
  • Dynamic programming
  • Stability (learning theory)
  • Convergence (economics)
  • Mathematical optimization
  • Iterative and incremental development
  • Field (mathematics)
  • Iterative method
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