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StarCraft Micromanagement With Reinforcement Learning and Curriculum Transfer Learning 期刊论文
IEEE Transactions on Emerging Topics in Computational Intelligence, 2019, 卷号: 3, 期号: 1, 页码: 73-84
Authors:  Kun Shao;  Yuanheng Zhu;  Dongbin Zhao
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Reinforcement Learning, Transfer Learning, Curriculum Learning, Neural Network, Game Ai  
An Autonomous Driving Experience Platform with Learning-Based Functions 会议论文
, Bangalore, India, 18-21 Nov. 2018
Authors:  Li, Dong;  Zhao, Dongbin;  Zhang, Qichao;  Zhu, Yuanheng
View  |  Adobe PDF(215Kb)  |  Favorite  |  View/Download：9/3  |  Submit date：2019/04/25
A Review of Computational Intelligence for StarCraft AI 会议论文
, Bangalore, India, 18-21 Nov. 2018
Authors:  Tang, Zhentao;  Shao, Kun;  Zhu, Yuanheng;  Li, Dong;  Zhao, Dongbin;  Huang, Tingwen
View  |  Adobe PDF(131Kb)  |  Favorite  |  View/Download：13/7  |  Submit date：2019/04/25
Learning battles in ViZDoom via deep reinforcement learning 会议论文
, Maastricht, The Netherlands, 2018-08
Authors:  Kun Shao;  Dongbin Zhao;  Nannan Li;  Yuanheng Zhu
View  |  Adobe PDF(446Kb)  |  Favorite  |  View/Download：16/8  |  Submit date：2019/04/22
Reinforcement Learning, Deep Learning, Game Ai  
Comprehensive comparison of online ADP algorithms for continuous-time optimal control 期刊论文
ARTIFICIAL INTELLIGENCE REVIEW, 2018, 卷号: 49, 期号: 4, 页码: 531-547
Authors:  Zhu, Yuanheng;  Zhao, Dongbin
Adobe PDF(766Kb)  |  Favorite  |  View/Download：60/24  |  Submit date：2017/09/13
Adaptive Dynamic Programming  Policy Iteration  Integral Reinforcement Learning  Experience Replay  Off-policy  
Visual navigation with Actor-Critic deep reinforcement learning 会议论文
, Rio, Brazil, 2018-01
Authors:  Kun Shao;  Dongbin Zhao;  Yuanheng Zhu;  Qichao Zhang
View  |  Adobe PDF(1827Kb)  |  Favorite  |  View/Download：2/1  |  Submit date：2019/04/22
Policy Iteration for H infinity Optimal Control of Polynomial Nonlinear Systems via Sum of Squares Programming 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2018, 卷号: 48, 期号: 2, 页码: 500-509
Authors:  Zhu, Yuanheng;  Zhao, Dongbin;  Yang, Xiong;  Zhang, Qichao
Favorite  |  View/Download：26/0  |  Submit date：2018/10/10
Adaptive Dynamic Programming (Adp)  h Infinity Optimal Control  Policy Iteration (Pi)  Polynomial Nonlinear Systems  Sum Of Squares (Sos)  
Adaptive dynamic programming for robust neural control of unknown continuous-time non-linear systems 期刊论文
IET CONTROL THEORY AND APPLICATIONS, 2017, 卷号: 11, 期号: 14, 页码: 2307-2316
Authors:  Yang, Xiong;  He, Haibo;  Liu, Derong;  Zhu, Yuanheng
View  |  Adobe PDF(2123Kb)  |  Favorite  |  View/Download：61/16  |  Submit date：2017/09/13
Dynamic Programming  Robust Control  Neurocontrollers  Continuous Time Systems  Control System Synthesis  Nonlinear Control Systems  Optimal Control  Function Approximation  Monte Carlo Methods  Closed Loop Systems  Asymptotic Stability  Adaptive Dynamic Programming  Robust Neural Control Design  Unknown Continuous-time Nonlinear Systems  Ct Nonlinear Systems  Adp-based Robust Neural Control Scheme  Robust Nonlinear Control Problem  Nonlinear Optimal Control Problem  Nominal System  Adp Algorithm  Actor-critic Dual Networks  Control Policy Approximation  Value Function Approximation  Actor Neural Network Weights  Critic Nn Weights  Monte Carlo Integration Method  Closed-loop System  Asymptotically Stability  
Event-Triggered H-infinity Control for Continuous-Time Nonlinear System via Concurrent Learning 期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2017, 卷号: 47, 期号: 7, 页码: 1071-1081
Authors:  Zhang, Qichao;  Zhao, Dongbin;  Zhu, Yuanheng
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Concurrent Learning  Event-triggered Control  H-infinity Optimal Control  Neural Networks (Nns)  Zero-sum (Zs) Game  
Data-driven adaptive dynamic programming for continuous-time fully cooperative games with partially constrained inputs 期刊论文
NEUROCOMPUTING, 2017, 卷号: 238, 期号: *, 页码: 377-386
Authors:  Zhang, Qichao;  Zhao, Dongbin;  Zhu, Yuanheng
View  |  Adobe PDF(1508Kb)  |  Favorite  |  View/Download：133/72  |  Submit date：2017/05/04
Adaptive Dynamic Programming  Optimal Control  Neural Network  Fully Cooperative Games  Data-driven  Constrained Input