Reinforcement learning algorithms with function approximation: Recent advances and applications

In recent years, the research on reinforcement learning (RL) has focused on function approximation in learning prediction and control of Markov decision processes (MDPs). The usage of function approximation techniques in RL will be essential to deal with MDPs with large or continuous state and actio...

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Veröffentlicht in:	Information sciences Jg. 261; S. 1 - 31
Hauptverfasser:	Xu, Xin, Zuo, Lei, Huang, Zhenhua
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Inc 10.03.2014
Schlagworte:	Approximate dynamic programming Function approximation Generalization Learning control Reinforcement learning Approximate dynamic programming Function approximation Learning control Generalization Reinforcement learning
ISSN:	0020-0255, 1872-6291
Online-Zugang:	Volltext
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