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Online reinforcement learning for continuous-state systems 专著章节/文集论文
出自: Frontiers of Intelligent Control and Information Processing, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore:World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, 2014
作者:  Yuanheng Zhu;  Zhao DB(赵冬斌)
Adobe PDF(24150Kb)  |  收藏  |  浏览/下载：246/27  |  提交时间：2017/09/13
Cheating Behavior Detection based-on Pictorial Structure Model 会议论文
, Nanjing, China, 28-30 July 2014
作者:  Lv Le;  Zhao Dongbin;  Fan Zhijiang
浏览  |  Adobe PDF(259Kb)  |  收藏  |  浏览/下载：351/133  |  提交时间：2017/05/08
Pose Estimation  Cheating Behavior Detection  Pictorial Structure Model  Belief Propagation  
Development of a New Model for the Fixture Design and Clamping Optimization 会议论文
World Congress on Intelligent Control and Automation, 沈阳, 2014年6月27日-6月30日
作者:  E. H. Cao;  J.H. Su;  Z.Y Liu;  H. Qiao;  Su JH(苏建华)
浏览  |  Adobe PDF(617Kb)  |  收藏  |  浏览/下载：325/116  |  提交时间：2016/10/27
Fixture Design  
Quality-based Learning for Web Data Classification 会议论文
AAAI Conference on Artificial Intelligence, 美国, 2014
作者:  Wu, Ou;  Hu, Ruiguang;  Mao, Xue;  Hu, Weiming
浏览  |  Adobe PDF(1352Kb)  |  收藏  |  浏览/下载：236/64  |  提交时间：2016/09/18
Web Data Classification  
Efficient Feature Coding Based on Auto-encoder Network for Image Classification 会议论文
Procceding of ACCV 2014, 新加坡, 2014-11
作者:  Xie, Guo-Sen;  Zhang, Xu-Yao;  Liu, Cheng-Lin
浏览  |  Adobe PDF(622Kb)  |  收藏  |  浏览/下载：265/71  |  提交时间：2016/07/14
Feature Coding  
Quality-Based Learning forWeb Data Classification 会议论文
AAAI Conference on Artificial Intelligence, USA, 2014
作者:  Ou Wu;  Ruiguang Hu;  Xue Mao;  Weiming Hu
浏览  |  Adobe PDF(1352Kb)  |  收藏  |  浏览/下载：272/79  |  提交时间：2015/08/19
Web Data Mining  
Approximate optimal solution of the DTHJB equation for a class of nonlinear affine systems with unknown dead-zone constraints 期刊论文
SOFT COMPUTING, 2014, 卷号: 18, 期号: 2, 页码: 349-357
作者:  Zhang, Dehua;  Liu, Derong;  Wang, Ding
Adobe PDF(621Kb)  |  收藏  |  浏览/下载：194/67  |  提交时间：2015/08/12
Nonlinear Affine System  Dead-zone  Dthjb  Neural Networks  Riemann Integral  
Neural-network-based approach to finite-time optimal control for a class of unknown nonlinear systems 期刊论文
SOFT COMPUTING, 2014, 卷号: 18, 期号: 8, 页码: 1645-1653
作者:  Song, Ruizhuo;  Xiao, Wendong;  Wei, Qinglai;  Sun, Changyin;  Ruizhuo Song
浏览  |  Adobe PDF(483Kb)  |  收藏  |  浏览/下载：367/100  |  提交时间：2015/08/12
Adaptive Dynamic Programming  Approximate Dynamic Programming  Unknown Nonlinear Systems  Optimal Control  Data-based  
Stable iterative adaptive dynamic programming algorithm with approximation errors for discrete-time nonlinear systems 期刊论文
NEURAL COMPUTING & APPLICATIONS, 2014, 卷号: 24, 期号: 6, 页码: 1355-1367
作者:  Wei, Qinglai;  Liu, Derong;  Derong Liu
浏览  |  Adobe PDF(791Kb)  |  收藏  |  浏览/下载：208/54  |  提交时间：2015/08/12
Adaptive Dynamic Programming  Approximate Dynamic Programming  Adaptive Critic Designs  Optimal Control  Neural Networks  Nonlinear Systems  
Policy Iteration Adaptive Dynamic Programming Algorithm for Discrete-Time Nonlinear Systems 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2014, 卷号: 25, 期号: 3, 页码: 621-634
作者:  Liu, Derong;  Wei, Qinglai
Adobe PDF(2635Kb)  |  收藏  |  浏览/下载：205/83  |  提交时间：2015/08/12
Adaptive Critic Designs  Adaptive Dynamic Programming (Adp)  Approximate Dynamic Programming  Discrete-time Policy Iteration  Neural Networks  Neurodynamic Programming  Nonlinear Systems  Optimal Control  Reinforcement Learning