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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Vydané v:	IEEE transaction on neural networks and learning systems Ročník 31; číslo 4; s. 1155 - 1169
Hlavní autori:	Al-Dabooni, Seaar, Wunsch, Donald C.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	United States IEEE 01.04.2020 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	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
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