Xin Xu

IEEE Robotics Autom. Lett., June, 2023

Kernel-based multiagent reinforcement learning for near-optimal formation control of mobile robots.

[BibT_eX]

[DOI]

Appl. Intell., May, 2023

Learning to Detect 3D Symmetry From Single-View RGB-D Images With Weak Supervision.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., April, 2023

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

[BibT_eX]

[DOI]

IEEE Trans. Syst. Man Cybern. Syst., March, 2023

HiVeGPT: Human-Machine-Augmented Intelligent Vehicles With Generative Pre-Trained Transformer.

[BibT_eX]

[DOI]

IEEE Trans. Intell. Veh., March, 2023

Spherical-Orthogonal-Symmetric Haar Wavelet for Driver's Visual Detection.

[BibT_eX]

[DOI]

IEEE Trans. Intell. Veh., March, 2023

Deep Neural Networks With Koopman Operators for Modeling and Control of Autonomous Vehicles.

[BibT_eX]

[DOI]

IEEE Trans. Intell. Veh., January, 2023

Adaptive Multi-Lane Detection Based on Robust Instance Segmentation for Intelligent Vehicles.

[BibT_eX]

[DOI]

IEEE Trans. Intell. Veh., January, 2023

ATOP: An Attention-to-Optimization Approach for Automatic LiDAR-Camera Calibration via Cross-Modal Object Matching.

[BibT_eX]

[DOI]

IEEE Trans. Intell. Veh., January, 2023

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

[BibT_eX]

[DOI]

IEEE Trans. Syst. Man Cybern. Syst., 2023

Parameter Estimation and Anti-Sideslip Line-of-Sight Method-Based Adaptive Path-Following Controller for a Multijoint Snake Robot.

[BibT_eX]

[DOI]

IEEE Trans. Syst. Man Cybern. Syst., 2023

Multiple Kernel Clustering With Compressed Subspace Alignment.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2023

Weakly-Supervised 3D Human Pose Estimation With Cross-View U-Shaped Graph Convolutional Network.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2023

Uncertainty-Guided Semi-Supervised Few-Shot Class-Incremental Learning With Knowledge Distillation.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2023

Finite-Time Sideslip Differentiator-Based LOS Guidance for Robust Path Following of Snake Robots.

[BibT_eX]

[DOI]

IEEE CAA J. Autom. Sinica, 2023

Adaptive Dense Pseudo Label Selection for Semi-supervised Oriented Object Detection.

[BibT_eX]

[DOI]

CoRR, 2023

DDK: A Deep Koopman Approach for Longitudinal and Lateral Control of Autonomous Ground Vehicles.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Optimizing Selection and Positioning of Single-Stage Rotor Blades.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2023

2022

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

[BibT_eX]

[DOI]

IEEE Trans. Syst. Man Cybern. Syst., 2022

Online Sparse Temporal Difference Learning Based on Nested Optimization and Regularized Dual Averaging.

[BibT_eX]

[DOI]

Tianheng Song

Dazi Li

IEEE Trans. Syst. Man Cybern. Syst., 2022

Coordinated Path-Following Control of Fixed-Wing Unmanned Aerial Vehicles.

[BibT_eX]

[DOI]

IEEE Trans. Syst. Man Cybern. Syst., 2022

Multi-View Spectral Clustering With High-Order Optimal Neighborhood Laplacian Matrix.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2022

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

[BibT_eX]

[DOI]

IEEE Trans. Intell. Veh., 2022

Inferring Cognitive State of Pilot's Brain Under Different Maneuvers During Flight.

[BibT_eX]

[DOI]

IEEE Trans. Intell. Transp. Syst., 2022

Cross-Modal Cross-Domain Dual Alignment Network for RGB-Infrared Person Re-Identification.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. Video Technol., 2022

SymmetryGrasp: Symmetry-Aware Antipodal Grasp Detection From Single-View RGB-D Images.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., 2022

Sparse online maximum entropy inverse reinforcement learning via proximal optimization and truncated gradient.

[BibT_eX]

[DOI]

Li Song

Dazi Li

Knowl. Based Syst., 2022

Transfer reinforcement learning via meta-knowledge extraction using auto-pruned decision trees.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2022

Synchronous Maneuver Searching and Trajectory Planning for Autonomous Vehicles in Dynamic Traffic Environments.

[BibT_eX]

[DOI]

IEEE Intell. Transp. Syst. Mag., 2022

AdaBoost maximum entropy deep inverse reinforcement learning with truncated gradient.

[BibT_eX]

[DOI]

Inf. Sci., 2022

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

[BibT_eX]

[DOI]

Ind. Robot, 2022

Facial Kinship Verification: A Comprehensive Review and Outlook.

[BibT_eX]

[DOI]

Miguel Bordallo López

Li Liu

Int. J. Comput. Vis., 2022

Extended clustering algorithm based on cluster shape boundary.

[BibT_eX]

[DOI]

Intell. Data Anal., 2022

Learning practically feasible policies for online 3D bin packing.

[BibT_eX]

[DOI]

Sci. China Inf. Sci., 2022

Target-driven visual navigation in indoor scenes using reinforcement learning and imitation learning.

[BibT_eX]

[DOI]

CAAI Trans. Intell. Technol., 2022

Robust tube-based model predictive control with Koopman operators.

[BibT_eX]

[DOI]

Autom., 2022

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

[BibT_eX]

[DOI]

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

A Two-layer MPC Approach for Consistent Planning and Control of Autonomous Vehicles.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Advanced Robotics and Mechatronics , 2022

Meta-GF: Training Dynamic-Depth Neural Networks Harmoniously.

[BibT_eX]

[DOI]

Yi Sun

Jian Li

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Efficient Batch-Mode Reinforcement Learning Using Extreme Learning Machines.

[BibT_eX]

[DOI]

IEEE Trans. Syst. Man Cybern. Syst., 2021

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

[BibT_eX]

[DOI]

IEEE Trans. Syst. Man Cybern. Syst., 2021

Actor-Critic Learning Control With Regularization and Feature Selection in Policy Gradient Estimation.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2021

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

[BibT_eX]

[DOI]

Medical Image Anal., 2021

Label Disentangled Analysis for unsupervised visual domain adaptation.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2021

Robust semi-supervised classification based on data augmented online ELMs with deep features.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2021

Multi-target tracking for unmanned aerial vehicle swarms using deep reinforcement learning.

[BibT_eX]

[DOI]

Neurocomputing, 2021

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

[BibT_eX]

[DOI]

CoRR, 2021

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

[BibT_eX]

[DOI]

CoRR, 2021

CKNet: A Convolutional Neural Network Based on Koopman Operator for Modeling Latent Dynamics from Pixels.

[BibT_eX]

[DOI]

Yongqian Xiao

Qianli Lin

CoRR, 2021

Efficient Reinforcement Learning from Demonstration via Bayesian Network-Based Knowledge Extraction.

[BibT_eX]

[DOI]

Comput. Intell. Neurosci., 2021

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

[BibT_eX]

[DOI]

Sci. China Inf. Sci., 2021

Deep Q-learning with Explainable and Transferable Domain Rules.

[BibT_eX]

[DOI]

Proceedings of the Intelligent Computing Theories and Application, 2021

Accelerating Deep Reinforcement Learning via Hierarchical State Encoding with ELMs.

[BibT_eX]

[DOI]

Proceedings of the Intelligent Computing Theories and Application, 2021

StablePose: Learning 6D Object Poses From Geometrically Stable Patches.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

An Improved DDPG Algorithm with Barrier Function for Lane-Change Decision-Making of Intelligent Vehicles.

[BibT_eX]

[DOI]

Proceedings of the Artificial Intelligence - First CAAI International Conference, 2021

2020

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

[BibT_eX]

[DOI]

IEEE Trans. Syst. Man Cybern. Syst., 2020

SymmetryNet: learning to predict reflectional and rotational symmetries of 3D shapes from single-view RGB-D images.

[BibT_eX]

[DOI]

ACM Trans. Graph., 2020

Adaptive Self-Paced Deep Clustering with Data Augmentation.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2020

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

[BibT_eX]

[DOI]

IEEE Trans. Intell. Transp. Syst., 2020

Attentive multi-view reinforcement learning.

[BibT_eX]

[DOI]

Int. J. Mach. Learn. Cybern., 2020

Drosophila-inspired 3D moving object detection based on point clouds.

[BibT_eX]

[DOI]

Inf. Sci., 2020

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

[BibT_eX]

[DOI]

Inf. Sci., 2020

A deep learning framework based on Koopman operator for data-driven modeling of vehicle dynamics.

[BibT_eX]

[DOI]

CoRR, 2020

Symmetry-Aware 6D Object Pose Estimation via Multitask Learning.

[BibT_eX]

[DOI]

Complex., 2020

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

[BibT_eX]

[DOI]

IEEE Access, 2020

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

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

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

[BibT_eX]

[DOI]

IEEE Trans. Veh. Technol., 2019

Parameterized Batch Reinforcement Learning for Longitudinal Control of Autonomous Land Vehicles.

[BibT_eX]

[DOI]

IEEE Trans. Syst. Man Cybern. Syst., 2019

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

[BibT_eX]

[DOI]

Inf. Sci., 2019

An Interaction-Aware predictive motion Planner for Unmanned Ground Vehicles in Dynamic Street Scenarios.

[BibT_eX]

[DOI]

Int. J. Robotics Autom., 2019

Robust Learning-based Predictive Control for Constrained Nonlinear Systems.

[BibT_eX]

[DOI]

CoRR, 2019

A Dual-level Model Predictive Control Scheme for Multi-timescale Dynamical Systems.

[BibT_eX]

[DOI]

CoRR, 2019

Seismic Target Recognition Based on Parallel Recurrent Neural Network for Unattended Ground Sensor Systems.

[BibT_eX]

[DOI]

Tonghua Xu

Nan Wang

IEEE Access, 2019

2018

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

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2018

Actor-Critic Learning Control Based on ℓ<sub>2</sub>-Regularized Temporal-Difference Prediction With Gradient Correction.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2018

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

[BibT_eX]

[DOI]

Wei Wang

J. Intell. Robotic Syst., 2018

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

[BibT_eX]

[DOI]

J. Intell. Robotic Syst., 2018

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

[BibT_eX]

[DOI]

Jun Wu

CAAI Trans. Intell. Technol., 2018

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

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Intelligent Vehicles Symposium, 2018

2017

Manifold-Based Reinforcement Learning via Locally Linear Reconstruction.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2017

Traffic Sign Recognition Using Kernel Extreme Learning Machines With Deep Perceptual Features.

[BibT_eX]

[DOI]

IEEE Trans. Intell. Transp. Syst., 2017

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

[BibT_eX]

[DOI]

IEEE Trans. Ind. Electron., 2017

Multi-view learning overview: Recent progress and new challenges.

[BibT_eX]

[DOI]

Inf. Fusion, 2017

Model-Free Multi-Kernel Learning control for nonlinear discrete-Time Systems.

[BibT_eX]

[DOI]

Int. J. Robotics Autom., 2017

Editorial: Recent advances in intelligent robotic systems.

[BibT_eX]

[DOI]

Yong Liu

CAAI Trans. Intell. Technol., 2017

2016

Fuzzy-Based Goal Representation Adaptive Dynamic Programming.

[BibT_eX]

[DOI]

IEEE Trans. Fuzzy Syst., 2016

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

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2016

Multi-class ℓ2-Boost with the scoring coding.

[BibT_eX]

[DOI]

Int. J. Wavelets Multiresolution Inf. Process., 2016

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

[BibT_eX]

[DOI]

Daxue Liu

Jun Wu

Int. J. Wavelets Multiresolution Inf. Process., 2016

Lateral control for Autonomous land Vehicles via Dual Heuristic Programming.

[BibT_eX]

[DOI]

Int. J. Robotics Autom., 2016

Forecasting tourism demand by extracting fuzzy Takagi-Sugeno rules from trained SVMs.

[BibT_eX]

[DOI]

CAAI Trans. Intell. Technol., 2016

2015

Multiobjective Reinforcement Learning: A Comprehensive Overview.

[BibT_eX]

[DOI]

Chunming Liu

IEEE Trans. Syst. Man Cybern. Syst., 2015

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

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2015

A hierarchical path planning approach based on A<sup>⁎</sup> and least-squares policy iteration for mobile robots.

[BibT_eX]

[DOI]

Neurocomputing, 2015

Traffic Sign Recognition Using Deep Convolutional Networks and Extreme Learning Machine.

[BibT_eX]

[DOI]

Proceedings of the Intelligence Science and Big Data Engineering. Image and Video Data Engineering, 2015

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

[BibT_eX]

[DOI]

Siding Li

Proceedings of the IEEE International Conference on Information and Automation, 2015

2014

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

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2014

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

[BibT_eX]

[DOI]

IEEE Trans. Control. Syst. Technol., 2014

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

[BibT_eX]

[DOI]

IEEE Trans. Control. Syst. Technol., 2014

Reinforcement learning algorithms with function approximation: Recent advances and applications.

[BibT_eX]

[DOI]

Zhenhua Huang

Inf. Sci., 2014

Reinforcement learning with automatic basis construction based on isometric feature mapping.

[BibT_eX]

[DOI]

Zhenhua Huang

Inf. Sci., 2014

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

[BibT_eX]

[DOI]

Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

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

[BibT_eX]

[DOI]

Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

2013

Online Learning Control Using Adaptive Critic Designs With Sparse Kernel Machines.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2013

Goal Representation Heuristic Dynamic Programming on Maze Navigation.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2013

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

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2013

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

[BibT_eX]

[DOI]

Neural Comput. Appl., 2013

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

[BibT_eX]

[DOI]

J. Field Robotics, 2013

Kernel-Based Representation Policy Iteration with Applications to Optimal Path Tracking of Wheeled Mobile Robots.

[BibT_eX]

[DOI]

Proceedings of the Intelligence Science and Big Data Engineering, 2013

A Hierarchical Path Planning Approach Based on Reinforcement Learning for Mobile Robots.

[BibT_eX]

[DOI]

Proceedings of the Intelligence Science and Big Data Engineering, 2013

A novel approach for constructing basis functions in approximate dynamic programming for feedback control.

[BibT_eX]

[DOI]

Jian Wang

Zhenhua Huang

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.

[BibT_eX]

[DOI]

Proceedings of the 2013 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning, 2013

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

[BibT_eX]

[DOI]

Yifan Cai

Simon X. Yang

Proceedings of the 2013 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning, 2013

2012

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

[BibT_eX]

[DOI]

Qi Wu

Rob Law

Expert Syst. Appl., 2012

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

[BibT_eX]

[DOI]

Comput. Vis. Image Underst., 2012

A Rapid Sparsification Method for Kernel Machines in Approximate Policy Iteration.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Networks - ISNN 2012, 2012

A Novel Feature Sparsification Method for Kernel-Based Approximate Policy Iteration.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Networks - ISNN 2012, 2012

A Hierarchical Representation Policy Iteration Algorithm for Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Intelligent Science and Intelligent Data Engineering, 2012

Fuzzy C-means method for representation policy iteration in reinforcement learning.

[BibT_eX]

[DOI]

Proceedings of 9th IEEE International Conference on Networking, Sensing and Control, 2012

2011

Hierarchical Approximate Policy Iteration With Binary-Tree State Space Decomposition.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks, 2011

Incremental Learning From Stream Data.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks, 2011

Data-Driven Intelligent Transportation Systems: A Survey.

[BibT_eX]

[DOI]

IEEE Trans. Intell. Transp. Syst., 2011

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

[BibT_eX]

[DOI]

Shiliang Sun

IEEE Trans. Intell. Transp. Syst., 2011

A Complementary Modularized Ramp Metering Approach Based on Iterative Learning Control and ALINEA.

[BibT_eX]

[DOI]

IEEE Trans. Intell. Transp. Syst., 2011

Continuous-action reinforcement learning with fast policy search and adaptive basis function selection.

[BibT_eX]

[DOI]

Chunming Liu

Soft Comput., 2011

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

[BibT_eX]

[DOI]

Future Gener. Comput. Syst., 2011

Adaptive Kernel-Width Selection for Kernel-Based Least-Squares Policy Iteration Algorithm.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Networks - ISNN 2011, 2011

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

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Networks - ISNN 2011, 2011

Cooperative multi-agent reinforcement learning based on online heuristic extraction.

[BibT_eX]

[DOI]

Proceedings of the Seventh International Conference on Natural Computation, 2011

Adaptive sample collection using active learning for kernel-based approximate policy iteration.

[BibT_eX]

[DOI]

Proceedings of the 2011 IEEE Symposium on Adaptive Dynamic Programming And Reinforcement Learning, 2011

2010

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

[BibT_eX]

[DOI]

Appl. Soft Comput., 2010

Triple RRTs: An Effective Method for Path Planning in Narrow Passages.

[BibT_eX]

[DOI]

Adv. Robotics, 2010

An adaptive roadmap guided Multi-RRTs strategy for single query path planning.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2010

2009

Support Vector Machines with Manifold Learning and Probabilistic Space Projection for Tourist Expenditure Analysis.

[BibT_eX]

[DOI]

Rob Law

Tao Wu

Int. J. Comput. Intell. Syst., 2009

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

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Networks, 2009

Reordering Sparsification of Kernel Machines in Approximate Policy Iteration.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Networks, 2009

2008

Self-learning path-tracking control of autonomous vehicles using kernel-based approximate dynamic programming.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2008

2007

Kernel-Based Least Squares Policy Iteration for Reinforcement Learning.

[BibT_eX]

[DOI]

Xicheng Lu

IEEE Trans. Neural Networks, 2007

Classification of Business Travelers Using SVMs Combined with Kernel Principal Component Analysis.

[BibT_eX]

[DOI]

Rob Law

Tao Wu

Proceedings of the Advanced Data Mining and Applications, Third International Conference, 2007

2006

Local Stability Analysis of Maximum Nongaussianity Estimation in Independent Component Analysis.

[BibT_eX]

[DOI]

Gang Wang

Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006

Visual Protractor Based Localization Algorithm for Mobile Robot.

[BibT_eX]

[DOI]

Proceedings of the Sixth International Conference on Intelligent Systems Design and Applications (ISDA 2006), 2006

2005

A Theoretical Model and Convergence Analysis of Memetic Evolutionary Algorithms.

[BibT_eX]

[DOI]

Hangen He

Proceedings of the Advances in Natural Computation, First International Conference, 2005

2004

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

[BibT_eX]

[DOI]

Xuening Wang

Proceedings of the Advances in Neural Networks, 2004

2002

Efficient Reinforcement Learning Using Recursive Least-Squares Methods.

[BibT_eX]

[DOI]

Hangen He

J. Artif. Intell. Res., 2002

Evolutionary adaptive-critic methods for reinforcement learning.

[BibT_eX]

[DOI]

Hangen He

Proceedings of the 2002 Congress on Evolutionary Computation, 2002

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

[BibT_eX]

[DOI]