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ACP-based Social Computing and Parallel Intelligence: Societies 5.0 and Beyond 期刊论文
CAAI Transactions on Intelligence Technology, 2016, 卷号: 1, 期号: 4, 页码: 377-393
作者:  Xiao Wang;  Lingxi Li;  Yong Yuan;  Peijun Ye;  Fei-Yue Wang
Adobe PDF(4488Kb)  |  收藏  |  浏览/下载：305/61  |  提交时间：2018/10/09
Social Computing  Societies 5.0  Parallel Intelligence  Knowledge Automation  Cyberphysical-social System  Artificial Societies  Computational Experiments  Parallel Execution.  
Large-Scale Online Multitask Learning and Decision Making for Flexible Manufacturing 期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2016, 卷号: 12, 期号: 6, 页码: 2139-2147
作者:  Wang, JunPing;  Sun, YunChuan;  Zhang, WenSheng;  Thomas, Ian;  Duan, ShiHui;  Shi, YouKang;  JUNPING WANG
浏览  |  Adobe PDF(2070Kb)  |  收藏  |  浏览/下载：605/178  |  提交时间：2016/10/20
Decision Making  Flexible Manufacturing  Industry 4.0  Online Multitask Coordination Learning  
Event-based input-constrained nonlinear H infinity state feedback with adaptive critic and neural implementation 期刊论文
NEUROCOMPUTING, 2016, 卷号: 214, 期号: *, 页码: 848-856
作者:  Wang, Ding;  Mu, Chaoxu;  Zhang, Qichao;  Liu, Derong
浏览  |  Adobe PDF(1090Kb)  |  收藏  |  浏览/下载：342/135  |  提交时间：2017/02/14
Adaptive Critic Learning (Acl)  Adaptive Dynamic Programming (Adp)  Event-based Control  Hamilton-jacobi-isaacs (Hji) Equation  Input Constraints  Neural Networks  Nonlinear H-infinity Control  State Feedback  
Decentralized guaranteed cost control of interconnected systems with uncertainties: A learning-based optimal control strategy 期刊论文
NEUROCOMPUTING, 2016, 卷号: 214, 页码: 297-306
作者:  Wang, Ding;  Liu, Derong;  Mu, Chaoxu;  Ma, Hongwen
Adobe PDF(1113Kb)  |  收藏  |  浏览/下载：362/119  |  提交时间：2017/02/14
Adaptive Dynamic Programming  Decentralized Control  Guaranteed Cost Control  Interconnected Systems  Learning Control  Neural Networks  Optimal Control  Uncertain Plant  
Data-Based Adaptive Critic Designs for Nonlinear Robust Optimal Control With Uncertain Dynamics 期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2016, 卷号: 46, 期号: 11, 页码: 1544-1555
作者:  Wang, Ding;  Liu, Derong;  Zhang, Qichao;  Zhao, Dongbin
浏览  |  Adobe PDF(1082Kb)  |  收藏  |  浏览/下载：427/193  |  提交时间：2017/02/14
Adaptive Critic Designs  Adaptive Dynamic Programming  Intelligent Control  Neural Networks  Policy Iteration  Robust Optimal Control  System Identification  Uncertain Nonlinear Systems  
Move Prediction in Gomoku Using Deep Learning 会议论文
, Wuhan, China, November 11-13, 2016
作者:  Shao, Kun;  Zhao, Bongbin;  Tang, Zhentao;  Zhu, Yuanheng
浏览  |  Adobe PDF(321Kb)  |  收藏  |  浏览/下载：804/393  |  提交时间：2017/12/29
Gomoku  Move Prediction  Deep Learning  Deep Convolutional Network  
Data-based robust optimal control of continuous-time affine nonlinear systems with matched uncertainties 期刊论文
INFORMATION SCIENCES, 2016, 期号: 366, 页码: 121-133
作者:  Wang, Ding;  Li, Chao;  Liu, Derong;  Mu, Chaoxu
浏览  |  Adobe PDF(782Kb)  |  收藏  |  浏览/下载：464/186  |  提交时间：2016/10/20
Adaptive Dynamic Programming  Data-based Control  Integral Policy Iteration  Matched Uncertainties  Neural Networks  Robust Optimal Control  
Model-Free Optimal Tracking Control via Critic-Only Q-Learning 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2016, 卷号: 27, 期号: 10, 页码: 2134-2144
作者:  Luo, Biao;  Liu, Derong;  Huang, Tingwen;  Wang, Ding;  Luo,Biao
浏览  |  Adobe PDF(1521Kb)  |  收藏  |  浏览/下载：563/283  |  提交时间：2016/10/24
Critic-only Q-learning (Coql)  Model-free  Nonaffine Nonlinear Systems  Optimal Tracking Control  
Online reinforcement learning control by Bayesian inference 期刊论文
IET CONTROL THEORY AND APPLICATIONS, 2016, 卷号: 10, 期号: 12, 页码: 1331-1338
作者:  Xia, Zhongpu;  Zhao, Dongbin;  Dongbin Zhao
Adobe PDF(1559Kb)  |  收藏  |  浏览/下载：329/113  |  提交时间：2016/06/15
Learning Systems  Bayes Methods  Gaussian Processes  Optimal Control  Online Reinforcement Learning Control  Bayesian Inference  Self-learning Control  Probability  Action Value Function  Gaussian Process  Bayesian-state-action-reward-state-action Algorithm  
面向数据高效利用的深度强化学习方法及应用 学位论文
, 北京: 中国科学院研究生院, 2016
作者:  王海涛
Adobe PDF(2611Kb)  |  收藏  |  浏览/下载：397/14  |  提交时间：2016/06/15
人工智能  强化学习  深度学习  经验回放  深度强化学习  数据采样