Path Planning Method Combining Depth Learning and Sarsa Algorithm

When the traditional Sarsa(λ) algorithm is applied to the path planning, there are some problems such as slow learning of environmental knowledge and neglecting a lot of useful information. This paper proposes a method to combine the algorithm of Stacking Denoising AutoEncoders, Extract real-time en...

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Veröffentlicht in:	2017 10th International Symposium on Computational Intelligence and Design (ISCID) Jg. 2; S. 77 - 82
Hauptverfasser:	Xu, Dong, Fang, Yicheng, Zhang, Ziying, Meng, Yulong
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 01.12.2017
Schlagworte:	Algorithm design and analysis Data mining depth learning Feature extraction Neurons Noise reduction Path planning Sarsa(?) algorithm Stacking Stacking Denoising AutoEncoders
ISSN:	2473-3547
Online-Zugang:	Volltext
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