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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, 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, 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:249/27  |  提交时间:2017/09/13
Computational Transportation and Transportation 5.0 期刊论文
IEEE Transactions on Intelligent Transportation Systems, 2014, 卷号: 15, 期号: 5, 页码: 1861-1868
作者:  Fei-Yue Wang
浏览  |  Adobe PDF(99Kb)  |  收藏  |  浏览/下载:301/124  |  提交时间:2017/03/07
Transportation 5.0  Computational  Transportation  
Scene Aware Detection and Block Assignment Tracking in crowded scenes 期刊论文
Image and Vision Computing, 2014, 页码: 292-305
作者:  Genquan Duan;  Haizhou Ai;  Junliang Xing;  Song Cao;  Shihong Lao
浏览  |  Adobe PDF(2323Kb)  |  收藏  |  浏览/下载:203/36  |  提交时间:2016/04/13
User-centric Social Multimedia Computing 专著
Berlin Heidelberg:Springer, 2014
作者:  Sang, Jitao
Adobe PDF(5480Kb)  |  收藏  |  浏览/下载:381/93  |  提交时间:2016/03/30
Discrete-time online learning control for a class of unknown nonaffine nonlinear systems using reinforcement learning 期刊论文
NEURAL NETWORKS, 2014, 卷号: 55, 页码: 30-41
作者:  Yang, Xiong;  Liu, Derong;  Wang, Ding;  Wei, Qinglai
浏览  |  Adobe PDF(684Kb)  |  收藏  |  浏览/下载:369/134  |  提交时间:2015/08/12
Adaptive Critic Design  Neural Network  Nonaffine Nonlinear System  Online Learning  Reinforcement Learning  
Detecting and Reacting to Changes in Sensing Units: The Active Classifier Case 期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2014, 卷号: 44, 期号: 3, 页码: 353-362
作者:  Alippi, Cesare;  Liu, Derong;  Zhao, Dongbin;  Bu, Li
浏览  |  Adobe PDF(444Kb)  |  收藏  |  浏览/下载:211/55  |  提交时间:2015/08/12
Active Classifiers  Change Detection Tests (Cdts)  Intelligent Sensing  K-nearest Neighbor  Support Vector Machine (Svm) Classifiers  
Scene transformation for detector adaptation 期刊论文
PATTERN RECOGNITION LETTERS, 2014, 卷号: 36, 页码: 154-160
作者:  Liu, Liwei;  Xing, Junliang;  Duan, Genquan;  Ai, Haizhou;  Junliang Xing
浏览  |  Adobe PDF(2323Kb)  |  收藏  |  浏览/下载:292/77  |  提交时间:2015/08/12
Vehicle Detection  Detector Adaptation  Scene Transformation  Automatic Parameter Estimation  
Unsupervised language model adaptation for handwritten Chinese text recognition 期刊论文
PATTERN RECOGNITION, 2014, 卷号: 47, 期号: 3, 页码: 1202-1216
作者:  Wang, Qiu-Feng;  Yin, Fei;  Liu, Cheng-Lin
浏览  |  Adobe PDF(3154Kb)  |  收藏  |  浏览/下载:289/54  |  提交时间:2015/08/12
Character String Recognition  Chinese Handwriting Recognition  Unsupervised Language Model Adaptation  Language Model Compression