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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：237/38  |  提交时间：2016/01/18
Approximate Policy Iteration  Approximation Error  Optimal Control  Fuzzy Approximator  
A data-based online reinforcement learning algorithm satisfying probably approximately correct principle 期刊论文
NEURAL COMPUTING & APPLICATIONS, 2015, 卷号: 26, 期号: 4, 页码: 775-787
作者:  Zhu, Yuanheng;  Zhao, Dongbin
Adobe PDF(1331Kb)  |  收藏  |  浏览/下载：246/59  |  提交时间：2015/09/21
Reinforcement Learning  Probably Approximately Correct  Kd-tree  
Convergence analysis and application of fuzzy-HDP for nonlinear discrete-time HJB systems 期刊论文
NEUROCOMPUTING, 2015, 卷号: 149, 页码: 124-131
作者:  Zhu, Yuanheng;  Zhao, Dongbin;  Liu, Derong
浏览  |  Adobe PDF(860Kb)  |  收藏  |  浏览/下载：256/97  |  提交时间：2015/10/13
Discrete-time Nonlinear System  T-s Fuzzy System  Hdp  
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：252/103  |  提交时间：2015/09/18
Efficient Exploration  Probably Approximately Correct (Pac)  Reinforcement Learning (Rl)  State Aggregation