An Improved N-Step Value Gradient Learning Adaptive Dynamic Programming Algorithm for Online Learning

In problems with complex dynamics and challenging state spaces, the dual heuristic programming (DHP) algorithm has been shown theoretically and experimentally to perform well. This was recently extended by an approach called value gradient learning (VGL). VGL was inspired by a version of temporal di...

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Veröffentlicht in:	IEEE transaction on neural networks and learning systems Jg. 31; H. 4; S. 1155 - 1169
Hauptverfasser:	Al-Dabooni, Seaar, Wunsch, Donald C.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States IEEE 01.04.2020 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Adaptive algorithms Adaptive dynamic programming (ADP) Adaptive learning Algorithms Computer applications Computer simulation Convergence convergence analysis Decay Distance learning Dynamic programming eligibility traces Heuristic algorithms Internet Learning systems Machine learning Networks online learning Optimal control Optimization Programming reinforcement learning Stability analysis temporal difference (TD) value gradient learning (VGL)
ISSN:	2162-237X, 2162-2388, 2162-2388
Online-Zugang:	Volltext
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