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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:248/27  |  提交时间:2017/09/13
Combating phishing attacks via brand identity and authorization features 期刊论文
SECURITY AND COMMUNICATION NETWORKS, 2014, 卷号: 8, 期号: 6, 页码: 888-898
作者:  Geng, Guanggang;  Lee, Xiao-Dong;  Zhang, Yan-Ming
浏览  |  Adobe PDF(1133Kb)  |  收藏  |  浏览/下载:347/112  |  提交时间:2016/04/06
Brand Identity Recognition  
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:367/133  |  提交时间:2015/08/12
Adaptive Critic Design  Neural Network  Nonaffine Nonlinear System  Online Learning  Reinforcement Learning  
Reinforcement learning for adaptive optimal control of unknown continuous-time nonlinear systems with input constraints 期刊论文
INTERNATIONAL JOURNAL OF CONTROL, 2014, 卷号: 87, 期号: 3, 页码: 553-566
作者:  Yang, Xiong;  Liu, Derong;  Wang, Ding
浏览  |  Adobe PDF(721Kb)  |  收藏  |  浏览/下载:633/261  |  提交时间:2015/08/12
Adaptive Control  Input Constraints  Neural Networks  Optimal Control  Reinforcement Learning  
Neural-Network-Based Online HJB Solution for Optimal Robust Guaranteed Cost Control of Continuous-Time Uncertain Nonlinear Systems 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2014, 卷号: 44, 期号: 12, 页码: 2834-2847
作者:  Liu, Derong;  Wang, Ding;  Wang, Fei-Yue;  Li, Hongliang;  Yang, Xiong
浏览  |  Adobe PDF(780Kb)  |  收藏  |  浏览/下载:452/208  |  提交时间:2015/08/12
Adaptive Critic Designs  Adaptive/approximate Dynamic Programming (Adp)  Hamilton-jacobi-bellman (Hjb) Equation  Neural Networks  Optimal Robust Guaranteed Cost Control  Uncertain Nonlinear Systems  
Modeling Geometric-Temporal Context With Directional Pyramid Co-Occurrence for Action Recognition 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2014, 卷号: 23, 期号: 2, 页码: 658-672
作者:  Yuan, Chunfeng;  Li, Xi;  Hu, Weiming;  Ling, Haibin;  Maybank, Stephen J.
浏览  |  Adobe PDF(3487Kb)  |  收藏  |  浏览/下载:326/70  |  提交时间:2015/08/12
Covariance Cuboid Descriptor  Log-euclidean Riemannian Metric  Spatio-temporal Directional Pyramid Co-occurrence Matrix  Kernel Machine  Action Recognition  
What Are the Differences Between Bayesian Classifiers and Mutual-Information Classifiers? 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2014, 卷号: 25, 期号: 2, 页码: 249-264
作者:  Hu, Bao-Gang
浏览  |  Adobe PDF(1314Kb)  |  收藏  |  浏览/下载:205/26  |  提交时间:2015/08/12
Abstaining Classifier  Bayes  Cost-sensitive Learning  Entropy  Error Types  Mutual Information  Reject Types