A reinforcement learning based radial-bassis function network control system

CASIA OpenIR > 09年以前成果

	A reinforcement learning based radial-bassis function network control system
	Li, JN; Yi, JQ; Zhao, DB; Xi, GC; Wang, J; Liao, X; Yi, Z
发表期刊	ADVANCES IN NEURAL NETWORKS - ISNN 2005, PT 1, PROCEEDINGS
	2005
卷号	3496 期号:?页码:640-645
文章类型	Article
摘要	This paper proposes a reinforcement learning based radial-basis function network control system (RL-RBFNCS) to solve non-training data based learning of radial-basis function network controllers (RBFNC). In learning process, a major contribution is by using the critic signal and the stochastic exploration method to estimate the "desired output", reinforcement learning is considered and solved from the point of view of training data based learning. Computer simulations of robot obstacle avoidance in unknown environment are conducted to show the performance of the proposed method.
关键词	Radial-basis Function Reinforcement Learning
WOS标题词	Science & Technology ; Technology
收录类别	SCI ; ISTP
语种	英语
WOS研究方向	Computer Science
WOS类目	Computer Science, Artificial Intelligence ; Computer Science, Theory & Methods
WOS记录号	WOS:000230166900102
引用统计	被引频次：2[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/9176
专题	09年以前成果
作者单位	Chinese Acad Sci, Inst Automat, Lab Complex Syst & Intelligence Sci, Beijing 100080, Peoples R China
推荐引用方式 GB/T 7714	Li, JN,Yi, JQ,Zhao, DB,et al. A reinforcement learning based radial-bassis function network control system[J]. ADVANCES IN NEURAL NETWORKS - ISNN 2005, PT 1, PROCEEDINGS,2005,3496(?):640-645.
APA	Li, JN.,Yi, JQ.,Zhao, DB.,Xi, GC.,Wang, J.,...&Yi, Z.(2005).A reinforcement learning based radial-bassis function network control system.ADVANCES IN NEURAL NETWORKS - ISNN 2005, PT 1, PROCEEDINGS,3496(?),640-645.
MLA	Li, JN,et al."A reinforcement learning based radial-bassis function network control system".ADVANCES IN NEURAL NETWORKS - ISNN 2005, PT 1, PROCEEDINGS 3496.?(2005):640-645.

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2005 LNCS 3496 - A R（214KB）	期刊论文	作者接受稿	开放获取	CC BY-NC-SA	浏览下载