中文版 | English

在结果中检索

CASIA OpenIR
（本次检索基于用户作品认领结果）

浏览/检索结果: 共16条，第1-10条 帮助

限定条件        
已选(0)清除 条数/页：   排序方式：
Vision-based control in the open racing car simulator with deep and reinforcement learning 期刊论文
Journal of Ambient Intelligence and Humanized Computing, 2019, 页码: doi={10.1007/s12652-019-01503-y}
作者:  Yuanheng Zhu;  Dongbin Zhao
Adobe PDF(2210Kb)  |  收藏  |  浏览/下载：39/8  |  提交时间：2023/04/26
Building Energy Consumption Prediction: An Extreme Deep Learning Approach 期刊论文
ENERGIES, 2017, 卷号: 10, 期号: 10, 页码: 1-20
作者:  Li, Chengdong;  Ding, Zixiang;  Zhao, Dongbin;  Yi, Jianqiang;  Zhang, Guiqing
浏览  |  Adobe PDF(1918Kb)  |  收藏  |  浏览/下载：299/46  |  提交时间：2017/12/30
Building Energy Consumption  Deep Learning  Stacked Autoencoders  Extreme Learning Machine  
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：437/196  |  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  
Using reinforcement learning techniques to solve continuous-time non-linear optimal tracking problem without system dynamics 期刊论文
IET CONTROL THEORY AND APPLICATIONS, 2016, 卷号: 10, 期号: 12, 页码: 1339-1347
作者:  Zhu, Yuanheng;  Zhao, Dongbin;  Li, Xiangjun
浏览  |  Adobe PDF(976Kb)  |  收藏  |  浏览/下载：384/161  |  提交时间：2016/12/26
Nonlinear Control Systems  Continuous Time Systems  Learning (Artificial Intelligence)  Optimal Control  Dynamic Programming  Lyapunov Methods  Linear Systems  Reinforcement Learning  Continuous-time Problem  Nonlinear Optimal Tracking Problem  Adaptive Dynamic Programming  Model-free Adaptive Optimal Tracking Algorithm  Lyapunov Analysis  Linear System  
Experience Replay for Optimal Control of Nonzero-Sum Game Systems With Unknown Dynamics 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2016, 卷号: 46, 期号: 3, 页码: 854-865
作者:  Zhao, Dongbin;  Zhang, Qichao;  Wang, Ding;  Zhu, Yuanheng
Adobe PDF(1769Kb)  |  收藏  |  浏览/下载：490/191  |  提交时间：2016/06/14
Adaptive Dynamic Programming (Adp)  Experience Replay  Nonzero-sum (Nzs) Games  Optimal Control  Unknown Dynamics  
Convergence Proof of Approximate Policy Iteration for Undiscounted Optimal Control of Discrete-Time Systems 期刊论文
COGNITIVE COMPUTATION, 2015, 卷号: 7, 期号: 6, 页码: 763-771
作者:  Zhu, Yuanheng;  Zhao, Dongbin;  He, Haibo;  Ji, Junhong
Adobe PDF(809Kb)  |  收藏  |  浏览/下载：241/38  |  提交时间：2016/01/18
Approximate Policy Iteration  Approximation Error  Optimal Control  Fuzzy Approximator  
Online Synchronous Policy Iteration Based on Concurrent Learning to Solve Continuous-time Optimal Control Problem 会议论文
Proceedings of International Conference on Information Science and Technology, Changsha, 2015.4.25~4.27
作者:  Haitao Wang;  Dongbin Zhao;  Chengdong Li
Adobe PDF(1339Kb)  |  收藏  |  浏览/下载：254/95  |  提交时间：2016/06/15
MEC-A Near-Optimal Online Reinforcement Learning Algorithm for Continuous Deterministic Systems 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2015, 卷号: 26, 期号: 2, 页码: 346-356
作者:  Zhao, Dongbin;  Zhu, Yuanheng
浏览  |  Adobe PDF(2156Kb)  |  收藏  |  浏览/下载：256/106  |  提交时间：2015/09/18
Efficient Exploration  Probably Approximately Correct (Pac)  Reinforcement Learning (Rl)  State Aggregation  
Clique-based cooperative multiagent reinforcement learning using factor graphs 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2015, 卷号: 3, 期号: 1, 页码: 248-256
作者:  Zhang,Zhen;  Zhao DB(赵冬斌)
浏览  |  Adobe PDF(707Kb)  |  收藏  |  浏览/下载：198/83  |  提交时间：2017/12/30
Reinforcement Learning  Factor Graphs  
Full-range adaptive cruise control based on supervised adaptive dynamic programming 期刊论文
NEUROCOMPUTING, 2014, 卷号: 125, 页码: 57-67
作者:  Zhao, Dongbin;  Hu, Zhaohui;  Xia, Zhongpu;  Alippi, Cesare;  Zhu, Yuanheng;  Wang, Ding
浏览  |  Adobe PDF(2228Kb)  |  收藏  |  浏览/下载：387/113  |  提交时间：2015/08/12
Adaptive Dynamic Programming  Supervised Reinforcement Learning  Neural Networks  Adaptive Cruise Control  Stop And Go