Xin Xu

发表

Kernel Least-Squares Temporal Difference Learning

Xin Xu, Tao Xie, D. Hu, 2006 .

Kernel-Based Least Squares Policy Iteration for Reinforcement Learning

Xin Xu, Dewen Hu, Xicheng Lu, 2007, IEEE Transactions on Neural Networks.

Residual-gradient-based neural reinforcement learning for the optimal control of an acrobot

Xin Xu, Han-gen He, 2002, Proceedings of the IEEE Internatinal Symposium on Intelligent Control.

Self-Learning Cruise Control Using Kernel-Based Least Squares Policy Iteration

Daxue Liu, Xin Xu, Jian Wang, 2014, IEEE Transactions on Control Systems Technology.

A hierarchical path planning approach based on A⁎ and least-squares policy iteration for mobile robots

Xin Xu, Qi Guo, Lei Zuo, 2015, Neurocomputing.

Multiobjective Reinforcement Learning: A Comprehensive Overview

Dewen Hu, Chunming Liu, Xin Xu, 2015, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

A kernel-based reinforcement learning approach to stochastic pole balancing control systems

Xin Xu, Han-gen He, B. Dai, 2010, 2010 IEEE/ASME International Conference on Advanced Intelligent Mechatronics.

Automatic extrinsic calibration for an onboard camera

Xin Xu, Hangen He, X. An, 2013, 2013 Chinese Automation Congress.

A Clustering-Based Graph Laplacian Framework for Value Function Approximation in Reinforcement Learning

Witold Pedrycz, Daniel Graves, Xin Xu, 2014, IEEE Transactions on Cybernetics.

Call for papers: Special Issue on Learning Issues in Feedback Control of Uncertain Dynamical Systems (SILIFC)

Frank L. Lewis, Cong Wang, Xin Xu, 2011 .

Multi-Kernel Online Reinforcement Learning for Path Tracking Control of Intelligent Vehicles

Shiliang Sun, Dazi Li, Xinglong Zhang, 2021, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

Reinforcement Learning-based Drift Control for Autonomous Vehicles

Xin Xu, Xinglong Zhang, J. Huang, 2021, 2021 China Automation Congress (CAC).

A Hierarchical Reinforcement Learning-Based Approach to Multi-robot Cooperation for target Searching in unknown Environments

Xin Xu, Simon X. Yang, Yifan Cai, 2013, Control and Intelligent Systems.

Multi-robot Formation Control with Kernel-based Reinforcement Learning: Multi-robot Formation Control with Kernel-based Reinforcement Learning

Chuanqiang Lian, Xin Xu, Jun Wu, 2011 .

Event-triggered shared lateral control for safe-maneuver of intelligent vehicles

Xin Xu, Xinglong Zhang, Yan Jiang, 2021, Science China Information Sciences.

Model-Based Safe Reinforcement Learning with Time-Varying State and Control Constraints: An Application to Intelligent Vehicles

Xin Xu, Wei Pan, Biao Luo, 2021, ArXiv.

Hierarchical Approximate Policy Iteration With Binary-Tree State Space Decomposition

Simon X. Yang, Dewen Hu, Chunming Liu, 2011, IEEE Transactions on Neural Networks.

A Kernel-Based Reinforcement Learning Approach to Dynamic Behavior Modeling of Intrusion Detection

Xin Xu, Yirong Luo, Xin Xu, 2007, ISNN.

Visual Saliency Based on Scale-Space Analysis in the Frequency Domain

Martin D. Levine, Xiangjing An, Hangen He, 2013, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Multi-view learning overview: Recent progress and new challenges

Shiliang Sun, Xin Xu, Jing Zhao, 2017, Inf. Fusion.

Text Categorization Using SVMs with Rocchio Ensemble for Internet Information Classification

Xin Xu, Bofeng Zhang, Qiuxi Zhong, 2005, ICCNMC.

Event-triggered shared lateral control for safe-maneuver of intelligent vehicles

Zhengzheng Dong, Xin Xu, Xinglong Zhang, 2021, Sci. China Inf. Sci..

Adaptive Dual Heuristic Programming Based on Delta-Bar-Delta Learning Rule

Jun Wu, Yan Huang, Chuanqiang Lian, 2011, ISNN.

Fuzzy-Based Goal Representation Adaptive Dynamic Programming

Haibo He, Dongbin Zhao, Xin Xu, 2016, IEEE Transactions on Fuzzy Systems.

A Dual-Level Model Predictive Control Scheme for Multitimescale Dynamical Systems pdf

Xin Xu, Wei Jiang, Zhizhong Li, 2019, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

Robust Tube-based Model Predictive Control with Koopman Operators-Extended Version

Xin Xu, R. Scattolini, Shuyou Yu, 2021, Autom..

Robust Learning-Based Predictive Control for Discrete-Time Nonlinear Systems With Unknown Dynamics and State Constraints

Xin Xu, Shuyou Yu, Xinglong Zhang, 2019, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

A Digital Receding-Horizon Learning Controller for Nonlinear Continuous-time Systems

Xin Xu, Wei Jiang, Xinglong Zhang, 2020 .

Robust Learning-based Predictive Control for Constrained Nonlinear Systems pdf

Xinglong Zhang, Jiahang Liu, Xin Xu, 2019, ArXiv.

Near-Optimal Tracking Control of Mobile Robots Via Receding-Horizon Dual Heuristic Programming

Haibo He, Hong Chen, Chuanqiang Lian, 2016, IEEE Transactions on Cybernetics.

Goal Representation Heuristic Dynamic Programming on Maze Navigation

Haibo He, Jinyu Wen, Xin Xu, 2013, IEEE Transactions on Neural Networks and Learning Systems.

A novel multi-agent reinforcement learning approach for job scheduling in Grid computing

Pengcheng Zhang, Jun Wu, Chunming Liu, 2011, Future Gener. Comput. Syst..

An Adaptive Network Intrusion Detection Method Based on PCA and Support Vector Machines

Xin Xu, Xuening Wang, Xin Xu, 2005, ADMA.

Reinforcement learning algorithms with function approximation: Recent advances and applications

Xin Xu, Lei Zuo, Zhenhua Huang, 2014, Inf. Sci..

Online Learning Control Using Adaptive Critic Designs With Sparse Kernel Machines

Haibo He, Chuanqiang Lian, Xin Xu, 2013, IEEE Transactions on Neural Networks and Learning Systems.

An Efficient Scan-to-Map Matching Approach Based on Multi-channel Lidar

Rui Yu, Tao Wu, Xin Xu, 2018, J. Intell. Robotic Syst..

Data-Driven Intelligent Transportation Systems: A Survey

Fei-Yue Wang, Xin Xu, Kunfeng Wang, 2011, IEEE Transactions on Intelligent Transportation Systems.

A Reinforcement Learning Approach to Autonomous Decision Making of Intelligent Vehicles on Highways

Xin Li, Xin Xu, Zhenping Sun, 2020, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

Distributed Multiagent Coordinated Learning for Autonomous Driving in Highways Based on Dynamic Coordination Graphs

Xin Wang, Minjie Zhang, Xin Xu, 2020, IEEE Transactions on Intelligent Transportation Systems.

Receding-Horizon Reinforcement Learning Approach for Kinodynamic Motion Planning of Autonomous Vehicles

Xin Xu, Xinglong Zhang, Yan Jiang, 2022, IEEE Transactions on Intelligent Vehicles.

A Dynamic Bayesian Network for Vehicle Maneuver Prediction in Highway Driving Scenarios: Framework and Verification

Junxiang Li, Bin Dai, Daxue Liu, 2019, Electronics.

Dual-branch combination network (DCN): Towards accurate diagnosis and lesion segmentation of COVID-19 using CT images

Hui Shen, Jian Qin, Yuexiang Yang, 2020, Medical Image Analysis.

Label Disentangled Analysis for unsupervised visual domain adaptation

Tan Guo, Lei Zhang, Xin Xu, 2021, Knowl. Based Syst..

Adaptive speed tracking control for autonomous land vehicles in all‐terrain navigation: An experimental study

Jian Wang, Daxue Liu, Xin Xu, 2013, J. Field Robotics.

Dynamic path planning of a mobile robot with improved Q-learning algorithm

Xin Xu, Lei Zuo, Siding Li, 2015, 2015 IEEE International Conference on Information and Automation.

Hierarchical Reinforcement Learning for Autonomous Decision Making and Motion Planning of Intelligent Vehicles

Xing Zhou, Xin Xu, Xinglong Zhang, 2020, IEEE Access.

Variational Inference for Infinite Mixtures of Gaussian Processes With Applications to Traffic Flow Prediction

Shiliang Sun, Xin Xu, Xin Xu, 2011, IEEE Transactions on Intelligent Transportation Systems.

Augmenting cascaded correlation filters with spatial-temporal saliency for visual tracking

Liang Xiao, Dawei Zhao, Bin Dai, 2019, Inf. Sci..

Deep reinforcement learning for pedestrian collision avoidance and human-machine cooperative driving

Junxiang Li, Xin Xu, Liang Yao, 2020, Inf. Sci..

Parameterized Batch Reinforcement Learning for Longitudinal Control of Autonomous Land Vehicles

Jun Tan, Xin Xu, Zhenping Sun, 2019, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

Learning-Based Predictive Control for Discrete-Time Nonlinear Systems With Stochastic Disturbances

Chuanqiang Lian, Hong Chen, Dazi Li, 2018, IEEE Transactions on Neural Networks and Learning Systems.

A Learning-based Multi-RRT Approach for Robot Path Planning in Narrow Passages

Wei Wang, Lei Zuo, Xin Xu, 2018, J. Intell. Robotic Syst..

Stereo matching using weighted dynamic programming on a single-direction four-connected tree

Tao Wu, Hangen He, Xin Xu, 2012, Comput. Vis. Image Underst..

A Space Mapping Based 0–1 Linear Model for Onboard Conflict Resolution of Heterogeneous Unmanned Aerial Vehicles

Xin Xu, Lincheng Shen, Zhaowei Ma, 2019, IEEE Transactions on Vehicular Technology.

Policy gradient fuzzy reinforcement learning

Xin Xu, Xue-Ning Wang, Han-Gen He, 2004, Proceedings of 2004 International Conference on Machine Learning and Cybernetics (IEEE Cat. No.04EX826).

Sequential anomaly detection based on temporal-difference learning: Principles, models and case studies

Xin Xu, Xin Xu, 2010, Appl. Soft Comput..

A kernel-based extreme learning modeling method for speed decision making of autonomous land vehicles

Xiaohui Li, Kai Li, Xin Xu, 2017, 2017 6th Data Driven Control and Learning Systems (DDCLS).

Defending DDoS Attacks Using Hidden Markov Models and Cooperative Reinforcement Learning

Xin Xu, Yongqiang Sun, Zunguo Huang, 2007, PAISI.

Adaptive Self-Paced Deep Clustering with Data Augmentation

Xinwang Liu, En Zhu, Jianping Yin, 2020, IEEE Transactions on Knowledge and Data Engineering.

Attentive multi-view reinforcement learning

Xin Xu, Jing Zhao, Yueyue Hu, 2020, Int. J. Mach. Learn. Cybern..

Multi-View Deep Attention Network for Reinforcement Learning (Student Abstract)

Shiliang Sun, Jing Zhao, Xin Xu, 2020, AAAI.

Task assignment of multi-robot systems based on improved genetic algorithms

Xin Xu, Lei Zuo, Siding Li, 2015, 2015 IEEE International Conference on Mechatronics and Automation (ICMA).

Effective Phase Tracking for Bioinspired Undulations of Robotic Fish Models: A Learning Control Approach

Tianjiang Hu, Lincheng Shen, Xin Xu, 2014, IEEE/ASME Transactions on Mechatronics.

Receding Horizon Actor–Critic Learning Control for Nonlinear Time-Delay Systems With Unknown Dynamics

Xin Xu, Xinglong Zhang, Jiahang Liu, 2023, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

Learning-based Predictive Control for Nonlinear Systems with Unknown Dynamics Subject to Safety Constraints

Xin Xu, Hong Chen, Shuyou Yu, 2019 .

Reinforcement learning based overtaking decision-making for highway autonomous driving

Xin Li, Xin Xu, Lei Zuo, 2015, 2015 Sixth International Conference on Intelligent Control and Information Processing (ICICIP).

Real-time Motion Planning Based on MPC With Obstacle Constraint Convexification For Autonomous Ground Vehicles

Xing Zhou, Xinglong Zhang, Xin Xu, 2020, 2020 3rd International Conference on Unmanned Systems (ICUS).

Decentralised grid scheduling approach based on multi-agent reinforcement learning and gossip mechanism

Xin Xu, Jun Wu, Xin Xu, 2018, CAAI Trans. Intell. Technol..

Incremental Learning From Stream Data

Haibo He, Sheng Chen, Kang Li, 2011, IEEE Transactions on Neural Networks.

Multi-agent reinforcement learning using ordinal action selection and approximate policy iteration

Jun Wu, Daxue Liu, Xin Xu, 2016, Int. J. Wavelets Multiresolution Inf. Process..

A hierarchical reinforcement learning approach for optimal path tracking of wheeled mobile robots

Xin Xu, L. Zuo, Chunming Liu, 2013, Neural Computing and Applications.

Reinforcement learning with automatic basis construction based on isometric feature mapping

Xin Xu, Lei Zuo, Zhenhua Huang, 2014, Inf. Sci..

A combined hierarchical reinforcement learning based approach for multi-robot cooperative target searching in complex unknown environments

Xin Xu, Simon X. Yang, Yifan Cai, 2013, 2013 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning (ADPRL).

A Hierarchical Representation Policy Iteration Algorithm for Reinforcement Learning

Xin Xu, Jian Wang, Chun Li, 2012, IScIDE.

Event-triggered reinforcement learning approach for unknown nonlinear continuous-time system

Haibo He, Dongbin Zhao, Xin Xu, 2014, 2014 International Joint Conference on Neural Networks (IJCNN).

Toward Autonomous Driving in Highway and Urban Environment: HQ3 and IVFC 2017

Xin Xu, Bin Dai, Tao Wu, 2018, 2018 IEEE Intelligent Vehicles Symposium (IV).

A sparse Gaussian process regression model for tourism demand forecasting in Hong Kong

Rob Law, Xin Xu, Qi Wu, 2012, Expert Syst. Appl..

GrDHP: A General Utility Function Representation for Dual Heuristic Dynamic Programming

Haibo He, Dongbin Zhao, Xin Xu, 2015, IEEE Transactions on Neural Networks and Learning Systems.

Kernel-Based Approximate Dynamic Programming for Real-Time Online Learning Control: An Experimental Study

Haibo He, Chuanqiang Lian, Xin Xu, 2014, IEEE Transactions on Control Systems Technology.

Robust consensus control of nonlinear multi‐agent systems based on convergence rate estimation

Xin Xu, Xinglong Zhang, Qingwen Ma, 2022, International Journal of Robust and Nonlinear Control.

Reinforcement Learning Control of a Real Mobile Robot Using Approximate Policy Iteration

Pengcheng Zhang, Chunming Liu, Xin Xu, 2009, ISNN.

Mobile Robot Path-Tracking Using an Adaptive Critic Learning PD Controller

Xin Xu, Dewen Hu, Xuening Wang, 2004, ISNN.

A Rapid Sparsification Method for Kernel Machines in Approximate Policy Iteration

Jun Wu, Chunming Liu, Xin Xu, 2012, ISNN.

Reordering Sparsification of Kernel Machines in Approximate Policy Iteration

Pengcheng Zhang, Chunming Liu, Xin Xu, 2009, ISNN.

Actor-Critic Learning Control Based on $\ell_{2}$ -Regularized Temporal-Difference Prediction With Gradient Correction

Dazi Li, Luntong Li, Tianheng Song, 2018, IEEE Transactions on Neural Networks and Learning Systems.

Continuous‐time receding‐horizon reinforcement learning and its application to path‐tracking control of autonomous ground vehicles

Xin Xu, Xinglong Zhang, Yang Lu, 2021, Optimal Control Applications and Methods.

Gaussian process regression-based robust free space detection for autonomous vehicle by 3-D point cloud and 2-D appearance information fusion

Bin Dai, Hongdong Li, Xin Xu, 2017 .

A Sparse Kernel-Based Least-Squares Temporal Difference Algorithm for Reinforcement Learning

Xin Xu, Xin Xu, 2006, ICNC.

Self-Learning Control Using Dual Heuristic Programming with Global Laplacian Eigenmaps

Chuanqiang Lian, Xin Xu, Jiahang Liu, 2017, IEEE Transactions on Industrial Electronics.

Manifold-Based Reinforcement Learning via Locally Linear Reconstruction

Haibo He, Xin Xu, Lei Zuo, 2017, IEEE Transactions on Neural Networks and Learning Systems.

Speed tracking control via online continuous actor-critic learning

Jun Tan, Xin Xu, Zhenping Sun, 2016, 2016 35th Chinese Control Conference (CCC).

Self-learning PD algorithms based on approximate dynamic programming for robot motion planning

Chuanqiang Lian, Xin Xu, Qi Guo, 2014, 2014 International Joint Conference on Neural Networks (IJCNN).

Editorial: Special Section on Reinforcement Learning and Approximate Dynamic Programming

Xin Xu, Xin Xu, 2010, J. Intell. Learn. Syst. Appl..

Multi-class ℓ2-Boost with the scoring coding

Xin Xu, Lei Ye, Can Wang, 2016, Int. J. Wavelets Multiresolution Inf. Process..

Integrating human experience in deep reinforcement learning for multi-UAV collision detection and avoidance

Xiangke Wang, Xin Xu, Guanzheng Wang, 2021, Ind. Robot.

Barrier Function-based Safe Reinforcement Learning for Formation Control of Mobile Robots

Xin Xu, Wei Pan, Xinglong Zhang, 2022, IEEE International Conference on Robotics and Automation.