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A reinforcement learning based radial-bassis function network control system
Li, JN; Yi, JQ; Zhao, DB; Xi, GC; Wang, J; Liao, X; Yi, Z
Source PublicationADVANCES IN NEURAL NETWORKS - ISNN 2005, PT 1, PROCEEDINGS
2005
Volume3496Issue:?Pages:640-645
SubtypeArticle
AbstractThis 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.
KeywordRadial-basis Function Reinforcement Learning
WOS HeadingsScience & Technology ; Technology
Indexed BySCI ; ISTP
Language英语
WOS Research AreaComputer Science
WOS SubjectComputer Science, Artificial Intelligence ; Computer Science, Theory & Methods
WOS IDWOS:000230166900102
Citation statistics
Cited Times:1[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/9176
Collection09年以前成果
AffiliationChinese Acad Sci, Inst Automat, Lab Complex Syst & Intelligence Sci, Beijing 100080, Peoples R China
Recommended Citation
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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