Xin Xu

According to our database1, Xin Xu authored at least 50 papers between 2009 and 2019.

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Bibliography

2019
Parameterized Batch Reinforcement Learning for Longitudinal Control of Autonomous Land Vehicles.
IEEE Trans. Systems, Man, and Cybernetics: Systems, 2019

Augmenting cascaded correlation filters with spatial-temporal saliency for visual tracking.
Inf. Sci., 2019

2018
Learning-Based Predictive Control for Discrete-Time Nonlinear Systems With Stochastic Disturbances.
IEEE Trans. Neural Netw. Learning Syst., 2018

Actor-Critic Learning Control Based on ℓ2-Regularized Temporal-Difference Prediction With Gradient Correction.
IEEE Trans. Neural Netw. Learning Syst., 2018

A Learning-based Multi-RRT Approach for Robot Path Planning in Narrow Passages.
Journal of Intelligent and Robotic Systems, 2018

An Efficient Scan-to-Map Matching Approach Based on Multi-channel Lidar.
Journal of Intelligent and Robotic Systems, 2018

Decentralised grid scheduling approach based on multi-agent reinforcement learning and gossip mechanism.
CAAI Trans. Intell. Technol., 2018

2017
Manifold-Based Reinforcement Learning via Locally Linear Reconstruction.
IEEE Trans. Neural Netw. Learning Syst., 2017

Traffic Sign Recognition Using Kernel Extreme Learning Machines With Deep Perceptual Features.
IEEE Trans. Intelligent Transportation Systems, 2017

Self-Learning Control Using Dual Heuristic Programming with Global Laplacian Eigenmaps.
IEEE Trans. Industrial Electronics, 2017

Model-Free Multi-Kernel Learning control for nonlinear discrete-Time Systems.
I. J. Robotics and Automation, 2017

2016
Fuzzy-Based Goal Representation Adaptive Dynamic Programming.
IEEE Trans. Fuzzy Systems, 2016

Near-Optimal Tracking Control of Mobile Robots Via Receding-Horizon Dual Heuristic Programming.
IEEE Trans. Cybernetics, 2016

Multi-class ℓ2-Boost with the scoring coding.
IJWMIP, 2016

Multi-agent reinforcement learning using ordinal action selection and approximate policy iteration.
IJWMIP, 2016

Lateral control for Autonomous land Vehicles via Dual Heuristic Programming.
I. J. Robotics and Automation, 2016

2015
Multiobjective Reinforcement Learning: A Comprehensive Overview.
IEEE Trans. Systems, Man, and Cybernetics: Systems, 2015

GrDHP: A General Utility Function Representation for Dual Heuristic Dynamic Programming.
IEEE Trans. Neural Netw. Learning Syst., 2015

A hierarchical path planning approach based on A and least-squares policy iteration for mobile robots.
Neurocomputing, 2015

Traffic Sign Recognition Using Deep Convolutional Networks and Extreme Learning Machine.
Proceedings of the Intelligence Science and Big Data Engineering. Image and Video Data Engineering, 2015

2014
A Clustering-Based Graph Laplacian Framework for Value Function Approximation in Reinforcement Learning.
IEEE Trans. Cybernetics, 2014

Kernel-Based Approximate Dynamic Programming for Real-Time Online Learning Control: An Experimental Study.
IEEE Trans. Contr. Sys. Techn., 2014

Self-Learning Cruise Control Using Kernel-Based Least Squares Policy Iteration.
IEEE Trans. Contr. Sys. Techn., 2014

Reinforcement learning algorithms with function approximation: Recent advances and applications.
Inf. Sci., 2014

Reinforcement learning with automatic basis construction based on isometric feature mapping.
Inf. Sci., 2014

Event-triggered reinforcement learning approach for unknown nonlinear continuous-time system.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Self-learning PD algorithms based on approximate dynamic programming for robot motion planning.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

2013
Online Learning Control Using Adaptive Critic Designs With Sparse Kernel Machines.
IEEE Trans. Neural Netw. Learning Syst., 2013

Goal Representation Heuristic Dynamic Programming on Maze Navigation.
IEEE Trans. Neural Netw. Learning Syst., 2013

A hierarchical reinforcement learning approach for optimal path tracking of wheeled mobile robots.
Neural Computing and Applications, 2013

Adaptive speed tracking control for autonomous land vehicles in all-terrain navigation: An experimental study.
J. Field Robotics, 2013

Kernel-Based Representation Policy Iteration with Applications to Optimal Path Tracking of Wheeled Mobile Robots.
Proceedings of the Intelligence Science and Big Data Engineering, 2013

A Hierarchical Path Planning Approach Based on Reinforcement Learning for Mobile Robots.
Proceedings of the Intelligence Science and Big Data Engineering, 2013

A novel approach for constructing basis functions in approximate dynamic programming for feedback control.
Proceedings of the 2013 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning, 2013

Real-time tracking on adaptive critic design with uniformly ultimately bounded condition.
Proceedings of the 2013 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning, 2013

2012
A Rapid Sparsification Method for Kernel Machines in Approximate Policy Iteration.
Proceedings of the Advances in Neural Networks - ISNN 2012, 2012

A Novel Feature Sparsification Method for Kernel-Based Approximate Policy Iteration.
Proceedings of the Advances in Neural Networks - ISNN 2012, 2012

A Hierarchical Representation Policy Iteration Algorithm for Reinforcement Learning.
Proceedings of the Intelligent Science and Intelligent Data Engineering, 2012

Fuzzy C-means method for representation policy iteration in reinforcement learning.
Proceedings of 9th IEEE International Conference on Networking, Sensing and Control, 2012

2011
Hierarchical Approximate Policy Iteration With Binary-Tree State Space Decomposition.
IEEE Trans. Neural Networks, 2011

Incremental Learning From Stream Data.
IEEE Trans. Neural Networks, 2011

Continuous-action reinforcement learning with fast policy search and adaptive basis function selection.
Soft Comput., 2011

A novel multi-agent reinforcement learning approach for job scheduling in Grid computing.
Future Generation Comp. Syst., 2011

Adaptive Kernel-Width Selection for Kernel-Based Least-Squares Policy Iteration Algorithm.
Proceedings of the Advances in Neural Networks - ISNN 2011, 2011

Adaptive Dual Heuristic Programming Based on Delta-Bar-Delta Learning Rule.
Proceedings of the Advances in Neural Networks - ISNN 2011, 2011

Cooperative multi-agent reinforcement learning based on online heuristic extraction.
Proceedings of the Seventh International Conference on Natural Computation, 2011

Adaptive sample collection using active learning for kernel-based approximate policy iteration.
Proceedings of the 2011 IEEE Symposium on Adaptive Dynamic Programming And Reinforcement Learning, 2011

2010
Triple RRTs: An Effective Method for Path Planning in Narrow Passages.
Advanced Robotics, 2010

2009
Reinforcement Learning Control of a Real Mobile Robot Using Approximate Policy Iteration.
Proceedings of the Advances in Neural Networks, 2009

Reordering Sparsification of Kernel Machines in Approximate Policy Iteration.
Proceedings of the Advances in Neural Networks, 2009


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