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CASIA OpenIR
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BiFNet: Bidirectional Fusion Network for Road Segmentation 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2021, 页码: 12
作者:  Li, Haoran;  Chen, Yaran;  Zhang, Qichao;  Zhao, Dongbin
收藏  |  浏览/下载：161/0  |  提交时间：2022/01/27
Roads  Image segmentation  Three-dimensional displays  Cameras  Laser radar  Fuses  Feature extraction  Adaptive learning  autonomous vehicles  multisensor fusion  road segmentation  
Adaptive cruise control via adaptive dynamic programming with experience replay 期刊论文
SOFT COMPUTING, 2019, 卷号: 23, 期号: 12, 页码: 4131-4144
作者:  Wang, Bin;  Zhao, Dongbin;  Cheng, Jin
收藏  |  浏览/下载：210/0  |  提交时间：2019/07/11
Adaptive cruise control  Adaptive dynamic programming  Experience replay  Reinforcement learning  Neural networks  
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
作者:  Zhu, Yuanheng;  Zhao, Dongbin
Adobe PDF(766Kb)  |  收藏  |  浏览/下载：406/180  |  提交时间：2017/09/13
Adaptive Dynamic Programming  Policy Iteration  Integral Reinforcement Learning  Experience Replay  Off-policy  
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
Adobe PDF(976Kb)  |  收藏  |  浏览/下载：387/161  |  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  
Model-free adaptive dynamic programming for optimal control of discrete-time affine nonlinear system 会议论文
Proceedings of International Federation of Automatic Control 2014, South Africa, 2014-08
作者:  Xia ZP(夏中谱);  Dongbin Zhao
浏览  |  Adobe PDF(156Kb)  |  收藏  |  浏览/下载：270/73  |  提交时间：2016/06/16
Model-free Adaptive Dynamic Programming  Reinforcement Learning  Policy Iteration  Multilayer Perceptron Neural Network.  
GrDHP: A General Utility Function Representation for Dual Heuristic Dynamic Programming 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2015, 卷号: 26, 期号: 3, 页码: 614-627
作者:  Ni, Zhen;  He, Haibo;  Zhao, Dongbin;  Xu, Xin;  Prokhorov, Danil V.
收藏  |  浏览/下载：183/0  |  提交时间：2015/09/21
Adaptive Control  Adaptive Dynamic Programming (Adp)  Dual Heuristic Dynamic Programming (Dhp)  General Utility Function  Goal Representation  Reinforcement Learning (Rl)  
A supervised Actor-Critic approach for adaptive cruise control 期刊论文
SOFT COMPUTING, 2013, 卷号: 17, 期号: 11, 页码: 2089-2099
作者:  Zhao, Dongbin;  Wang, Bin;  Liu, Derong
收藏  |  浏览/下载：130/0  |  提交时间：2015/08/12
Supervised Reinforcement Learning  Actor-critic  Adaptive Cruise Control  Uniformly Ultimate Bounded  Neural Networks  
Self-teaching adaptive dynamic programming for Gomoku 期刊论文
NEUROCOMPUTING, 2012, 卷号: 78, 期号: 1, 页码: 23-29
作者:  Zhao, Dongbin;  Zhang, Zhen;  Dai, Yujie
收藏  |  浏览/下载：193/0  |  提交时间：2015/08/12
Gomoku  Reinforcement Learning  Adaptive Dynamic Programming  Temporal Difference Learning  Neural Network  
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：390/113  |  提交时间：2015/08/12
Adaptive Dynamic Programming  Supervised Reinforcement Learning  Neural Networks  Adaptive Cruise Control  Stop And Go  
A neural-network-based iterative GDHP approach for solving a class of nonlinear optimal control problems with control constraints 期刊论文
NEURAL COMPUTING & APPLICATIONS, 2013, 卷号: 22, 期号: 2, 页码: 219-227
作者:  Wang, Ding;  Liu, Derong;  Zhao, Dongbin;  Huang, Yuzhu;  Zhang, Dehua
Adobe PDF(507Kb)  |  收藏  |  浏览/下载：234/65  |  提交时间：2015/08/12
Adaptive Critic Designs  Adaptive Dynamic Programming  Approximate Dynamic Programming  Neural Dynamic Programming  Neural Networks  Optimal Control  Reinforcement Learning