2025
SMART: Sequential Multiagent Reinforcement Learning With Role Assignment Using Transformer.
IEEE Trans. Cogn. Dev. Syst., June, 2025
Denser Teacher: Rethinking Dense Pseudo-Label for Semi-Supervised Oriented Object Detection.
IEEE Trans. Circuits Syst. Video Technol., May, 2025
Versatile Distributed Maneuvering with Generalized Formations using Guiding Vector Fields.
CoRR, May, 2025
Improved Dual Correlation Reduction Network With Affinity Recovery.
IEEE Trans. Neural Networks Learn. Syst., April, 2025
Receding-Horizon Reinforcement Learning for Time-Delayed Human-Machine Shared Control of Intelligent Vehicles.
IEEE Trans. Hum. Mach. Syst., April, 2025
Acceleration for Deep Reinforcement Learning using Parallel and Distributed Computing: A Survey.
ACM Comput. Surv., April, 2025
Interference Suppression and Jitter Elimination Ability-Based Adaption Tracking Guidance for Robotic Fishes.
IEEE CAA J. Autom. Sinica, January, 2025
Toward Scalable Multirobot Control: Fast Policy Learning in Distributed MPC.
IEEE Trans. Robotics, 2025
Adaptive generative adversarial maximum entropy inverse reinforcement learning.
Inf. Sci., 2025
2024
SQIX: QMIX Algorithm Activated by General Softmax Operator for Cooperative Multiagent Reinforcement Learning.
IEEE Trans. Syst. Man Cybern. Syst., November, 2024
Sample Efficient Deep Reinforcement Learning With Online State Abstraction and Causal Transformer Model Prediction.
IEEE Trans. Neural Networks Learn. Syst., November, 2024
Solving Orienteering Problems by Hybridizing Evolutionary Algorithm and Deep Reinforcement Learning.
IEEE Trans. Artif. Intell., November, 2024
Game-Theoretic Receding-Horizon Reinforcement Learning for Lateral Control of Autonomous Vehicles.
IEEE Trans. Veh. Technol., October, 2024
Model-Based Safe Reinforcement Learning With Time-Varying Constraints: Applications to Intelligent Vehicles.
IEEE Trans. Ind. Electron., October, 2024
Efficient Reinforcement Learning With the Novel N-Step Method and V-Network.
IEEE Trans. Cybern., October, 2024
Robust Depth Estimation Based on Parallax Attention for Aerial Scene Perception.
IEEE Trans. Ind. Informatics, September, 2024
Deep Learning for Visual Speech Analysis: A Survey.
IEEE Trans. Pattern Anal. Mach. Intell., September, 2024
Safe Efficient Policy Optimization Algorithm for Unsignalized Intersection Navigation.
IEEE CAA J. Autom. Sinica, September, 2024
Collision-Avoiding Flocking With Multiple Fixed-Wing UAVs in Obstacle-Cluttered Environments: A Task-Specific Curriculum- Based MADRL Approach.
IEEE Trans. Neural Networks Learn. Syst., August, 2024
AMARL: An Attention-Based Multiagent Reinforcement Learning Approach to the Min-Max Multiple Traveling Salesmen Problem.
IEEE Trans. Neural Networks Learn. Syst., July, 2024
Error Constrained-Formation Path-Following Method With Disturbance Elimination for Multisnake Robots.
IEEE Trans. Ind. Electron., May, 2024
Safe Adaptive Dynamic Programming for Multiplayer Systems With Static and Moving No-Entry Regions.
IEEE Trans. Artif. Intell., May, 2024
Deep Reinforcement Learning: A Survey.
IEEE Trans. Neural Networks Learn. Syst., April, 2024
GCEN: Multiagent Deep Reinforcement Learning With Grouped Cognitive Feature Representation.
IEEE Trans. Cogn. Dev. Syst., April, 2024
Learning-Based Near-Optimal Motion Planning for Intelligent Vehicles With Uncertain Dynamics.
IEEE Robotics Autom. Lett., February, 2024
A deep Koopman operator-based modelling approach for long-term prediction of dynamics with pixel-level measurements.
CAAI Trans. Intell. Technol., February, 2024
Efficient Incremental Offline Reinforcement Learning With Sparse Broad Critic Approximation.
IEEE Trans. Syst. Man Cybern. Syst., January, 2024
Patch-Mixing Contrastive Regularization for Few-Label Semi-Supervised Learning.
IEEE Trans. Artif. Intell., January, 2024
Learning to Branch in Combinatorial Optimization with Graph Pointer Networks.
IEEE CAA J. Autom. Sinica, January, 2024
Similarity Distance-Based Label Assignment for Tiny Object Detection.
CoRR, 2024
Vector Field-Guided Learning Predictive Control for Motion Planning of Mobile Robots with Unknown Dynamics.
CoRR, 2024
Deep reinforcement learning using least-squares truncated temporal-difference.
CAAI Trans. Intell. Technol., 2024
A self-learning human-machine cooperative control method based on driver intention recognition.
CAAI Trans. Intell. Technol., 2024
M3-GMN: A Multi-environment, Multi-LiDAR, Multi-task dataset for Grid Map based Navigation.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024
Adaptive Advantage-Guided Policy Regularization for Offline Reinforcement Learning.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Density-Guided Dense Pseudo Label Selection for Semi-Supervised Oriented Object Detection.
Proceedings of the IEEE International Conference on Image Processing, 2024
2023
Robust Neural Dynamics Method for Redundant Robot Manipulator Control With Physical Constraints.
IEEE Trans. Ind. Informatics, December, 2023
Anti-Disturbance Path-Following Control for Snake Robots With Spiral Motion.
IEEE Trans. Ind. Informatics, December, 2023
Deeply-Recursive Attention Network for video steganography.
CAAI Trans. Intell. Technol., December, 2023
Position Errors and Interference Prediction-Based Trajectory Tracking for Snake Robots.
IEEE CAA J. Autom. Sinica, September, 2023
A structural developmental neural network with information saturation for continual unsupervised learning.
CAAI Trans. Intell. Technol., September, 2023
Potential field-based dual heuristic programming for path-following and obstacle avoidance of wheeled mobile robots.
Robotica, July, 2023
Efficient reinforcement learning with least-squares soft Bellman residual for robotic grasping.
Robotics Auton. Syst., June, 2023
CSGP: Closed-Loop Safe Grasp Planning via Attention-Based Deep Reinforcement Learning From Demonstrations.
IEEE Robotics Autom. Lett., June, 2023
Kernel-based multiagent reinforcement learning for near-optimal formation control of mobile robots.
Appl. Intell., May, 2023
Learning to Detect 3D Symmetry From Single-View RGB-D Images With Weak Supervision.
IEEE Trans. Pattern Anal. Mach. Intell., April, 2023
A Dual-Level Model Predictive Control Scheme for Multitimescale Dynamical Systems.
IEEE Trans. Syst. Man Cybern. Syst., March, 2023
HiVeGPT: Human-Machine-Augmented Intelligent Vehicles With Generative Pre-Trained Transformer.
IEEE Trans. Intell. Veh., March, 2023
Spherical-Orthogonal-Symmetric Haar Wavelet for Driver's Visual Detection.
IEEE Trans. Intell. Veh., March, 2023
Deep Neural Networks With Koopman Operators for Modeling and Control of Autonomous Vehicles.
IEEE Trans. Intell. Veh., January, 2023
Adaptive Multi-Lane Detection Based on Robust Instance Segmentation for Intelligent Vehicles.
IEEE Trans. Intell. Veh., January, 2023
ATOP: An Attention-to-Optimization Approach for Automatic LiDAR-Camera Calibration via Cross-Modal Object Matching.
IEEE Trans. Intell. Veh., January, 2023
Receding Horizon Actor-Critic Learning Control for Nonlinear Time-Delay Systems With Unknown Dynamics.
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.
IEEE Trans. Syst. Man Cybern. Syst., 2023
Multiple Kernel Clustering With Compressed Subspace Alignment.
IEEE Trans. Neural Networks Learn. Syst., 2023
Weakly-Supervised 3D Human Pose Estimation With Cross-View U-Shaped Graph Convolutional Network.
IEEE Trans. Multim., 2023
Uncertainty-Guided Semi-Supervised Few-Shot Class-Incremental Learning With Knowledge Distillation.
IEEE Trans. Multim., 2023
Finite-Time Sideslip Differentiator-Based LOS Guidance for Robust Path Following of Snake Robots.
IEEE CAA J. Autom. Sinica, 2023
Adaptive Dense Pseudo Label Selection for Semi-supervised Oriented Object Detection.
CoRR, 2023
Learning Task-preferred Inference Routes for Gradient De-conflict in Multi-output DNNs.
CoRR, 2023
DDK: A Deep Koopman Approach for Longitudinal and Lateral Control of Autonomous Ground Vehicles.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023
Optimizing Selection and Positioning of Single-Stage Rotor Blades.
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.
IEEE Trans. Syst. Man Cybern. Syst., 2022
Online Sparse Temporal Difference Learning Based on Nested Optimization and Regularized Dual Averaging.
IEEE Trans. Syst. Man Cybern. Syst., 2022
Coordinated Path-Following Control of Fixed-Wing Unmanned Aerial Vehicles.
IEEE Trans. Syst. Man Cybern. Syst., 2022
Multi-View Spectral Clustering With High-Order Optimal Neighborhood Laplacian Matrix.
IEEE Trans. Knowl. Data Eng., 2022
Receding-Horizon Reinforcement Learning Approach for Kinodynamic Motion Planning of Autonomous Vehicles.
IEEE Trans. Intell. Veh., 2022
Inferring Cognitive State of Pilot's Brain Under Different Maneuvers During Flight.
IEEE Trans. Intell. Transp. Syst., 2022
Cross-Modal Cross-Domain Dual Alignment Network for RGB-Infrared Person Re-Identification.
IEEE Trans. Circuits Syst. Video Technol., 2022
SymmetryGrasp: Symmetry-Aware Antipodal Grasp Detection From Single-View RGB-D Images.
IEEE Robotics Autom. Lett., 2022
Sparse online maximum entropy inverse reinforcement learning via proximal optimization and truncated gradient.
Knowl. Based Syst., 2022
Transfer reinforcement learning via meta-knowledge extraction using auto-pruned decision trees.
Knowl. Based Syst., 2022
Synchronous Maneuver Searching and Trajectory Planning for Autonomous Vehicles in Dynamic Traffic Environments.
IEEE Intell. Transp. Syst. Mag., 2022
AdaBoost maximum entropy deep inverse reinforcement learning with truncated gradient.
Inf. Sci., 2022
Integrating human experience in deep reinforcement learning for multi-UAV collision detection and avoidance.
Ind. Robot, 2022
Facial Kinship Verification: A Comprehensive Review and Outlook.
Int. J. Comput. Vis., 2022
Extended clustering algorithm based on cluster shape boundary.
Intell. Data Anal., 2022
Learning practically feasible policies for online 3D bin packing.
Sci. China Inf. Sci., 2022
Target-driven visual navigation in indoor scenes using reinforcement learning and imitation learning.
CAAI Trans. Intell. Technol., 2022
Robust tube-based model predictive control with Koopman operators.
Autom., 2022
Barrier Function-based Safe Reinforcement Learning for Formation Control of Mobile Robots.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022
A Two-layer MPC Approach for Consistent Planning and Control of Autonomous Vehicles.
Proceedings of the International Conference on Advanced Robotics and Mechatronics , 2022
Meta-GF: Training Dynamic-Depth Neural Networks Harmoniously.
Proceedings of the Computer Vision - ECCV 2022, 2022
2021
Efficient Batch-Mode Reinforcement Learning Using Extreme Learning Machines.
IEEE Trans. Syst. Man Cybern. Syst., 2021
Multi-Kernel Online Reinforcement Learning for Path Tracking Control of Intelligent Vehicles.
IEEE Trans. Syst. Man Cybern. Syst., 2021
Actor-Critic Learning Control With Regularization and Feature Selection in Policy Gradient Estimation.
IEEE Trans. Neural Networks Learn. Syst., 2021
Dual-branch combination network (DCN): Towards accurate diagnosis and lesion segmentation of COVID-19 using CT images.
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Medical Image Anal., 2021
Label Disentangled Analysis for unsupervised visual domain adaptation.
Knowl. Based Syst., 2021
Robust semi-supervised classification based on data augmented online ELMs with deep features.
Knowl. Based Syst., 2021
Multi-target tracking for unmanned aerial vehicle swarms using deep reinforcement learning.
Neurocomputing, 2021
Model-Based Safe Reinforcement Learning with Time-Varying State and Control Constraints: An Application to Intelligent Vehicles.
CoRR, 2021
Robust Tube-based Model Predictive Control with Koopman Operators-Extended Version.
CoRR, 2021
CKNet: A Convolutional Neural Network Based on Koopman Operator for Modeling Latent Dynamics from Pixels.
CoRR, 2021
Efficient Reinforcement Learning from Demonstration via Bayesian Network-Based Knowledge Extraction.
Comput. Intell. Neurosci., 2021
Event-triggered shared lateral control for safe-maneuver of intelligent vehicles.
Sci. China Inf. Sci., 2021
Deep Q-learning with Explainable and Transferable Domain Rules.
Proceedings of the Intelligent Computing Theories and Application, 2021
Accelerating Deep Reinforcement Learning via Hierarchical State Encoding with ELMs.
Proceedings of the Intelligent Computing Theories and Application, 2021
StablePose: Learning 6D Object Poses From Geometrically Stable Patches.
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.
Proceedings of the Artificial Intelligence - First CAAI International Conference, 2021
2020
A Reinforcement Learning Approach to Autonomous Decision Making of Intelligent Vehicles on Highways.
IEEE Trans. Syst. Man Cybern. Syst., 2020
SymmetryNet: learning to predict reflectional and rotational symmetries of 3D shapes from single-view RGB-D images.
ACM Trans. Graph., 2020
Adaptive Self-Paced Deep Clustering with Data Augmentation.
IEEE Trans. Knowl. Data Eng., 2020
Distributed Multiagent Coordinated Learning for Autonomous Driving in Highways Based on Dynamic Coordination Graphs.
IEEE Trans. Intell. Transp. Syst., 2020
Attentive multi-view reinforcement learning.
Int. J. Mach. Learn. Cybern., 2020
Drosophila-inspired 3D moving object detection based on point clouds.
Inf. Sci., 2020
Deep reinforcement learning for pedestrian collision avoidance and human-machine cooperative driving.
Inf. Sci., 2020
A deep learning framework based on Koopman operator for data-driven modeling of vehicle dynamics.
CoRR, 2020
Symmetry-Aware 6D Object Pose Estimation via Multitask Learning.
Complex., 2020
Hierarchical Reinforcement Learning for Autonomous Decision Making and Motion Planning of Intelligent Vehicles.
IEEE Access, 2020
Multi-View Deep Attention Network for Reinforcement Learning (Student Abstract).
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.
IEEE Trans. Veh. Technol., 2019
Parameterized Batch Reinforcement Learning for Longitudinal Control of Autonomous Land Vehicles.
IEEE Trans. Syst. Man Cybern. Syst., 2019
Large-scale gesture recognition with a fusion of RGB-D data based on optical flow and the C3D model.
Pattern Recognit. Lett., 2019
Augmenting cascaded correlation filters with spatial-temporal saliency for visual tracking.
Inf. Sci., 2019
An Interaction-Aware predictive motion Planner for Unmanned Ground Vehicles in Dynamic Street Scenarios.
Int. J. Robotics Autom., 2019
Robust Learning-based Predictive Control for Constrained Nonlinear Systems.
CoRR, 2019
A Dual-level Model Predictive Control Scheme for Multi-timescale Dynamical Systems.
CoRR, 2019
Seismic Target Recognition Based on Parallel Recurrent Neural Network for Unattended Ground Sensor Systems.
IEEE Access, 2019
2018
Learning-Based Predictive Control for Discrete-Time Nonlinear Systems With Stochastic Disturbances.
IEEE Trans. Neural Networks Learn. Syst., 2018
Actor-Critic Learning Control Based on ℓ<sub>2</sub>-Regularized Temporal-Difference Prediction With Gradient Correction.
IEEE Trans. Neural Networks Learn. Syst., 2018
Large-Scale Gesture Recognition With a Fusion of RGB-D Data Based on Saliency Theory and C3D Model.
IEEE Trans. Circuits Syst. Video Technol., 2018
A Cross-Layer Optimized Opportunistic Routing Scheme for Loss-and-Delay Sensitive WSNs.
Sensors, 2018
A Learning-based Multi-RRT Approach for Robot Path Planning in Narrow Passages.
J. Intell. Robotic Syst., 2018
An Efficient Scan-to-Map Matching Approach Based on Multi-channel Lidar.
J. Intell. Robotic Syst., 2018
Decentralised grid scheduling approach based on multi-agent reinforcement learning and gossip mechanism.
CAAI Trans. Intell. Technol., 2018
Toward Autonomous Driving in Highway and Urban Environment: HQ3 and IVFC 2017.
Proceedings of the 2018 IEEE Intelligent Vehicles Symposium, 2018
2017
Manifold-Based Reinforcement Learning via Locally Linear Reconstruction.
IEEE Trans. Neural Networks Learn. Syst., 2017
Traffic Sign Recognition Using Kernel Extreme Learning Machines With Deep Perceptual Features.
IEEE Trans. Intell. Transp. Syst., 2017
Self-Learning Control Using Dual Heuristic Programming with Global Laplacian Eigenmaps.
IEEE Trans. Ind. Electron., 2017
Multi-view learning overview: Recent progress and new challenges.
Inf. Fusion, 2017
Model-Free Multi-Kernel Learning control for nonlinear discrete-Time Systems.
Int. J. Robotics Autom., 2017
Editorial: Recent advances in intelligent robotic systems.
CAAI Trans. Intell. Technol., 2017
Multimodal Gesture Recognition Based on the ResC3D Network.
Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017
2016
Fuzzy-Based Goal Representation Adaptive Dynamic Programming.
IEEE Trans. Fuzzy Syst., 2016
Near-Optimal Tracking Control of Mobile Robots Via Receding-Horizon Dual Heuristic Programming.
IEEE Trans. Cybern., 2016
Multi-class ℓ2-Boost with the scoring coding.
Int. J. Wavelets Multiresolution Inf. Process., 2016
Multi-agent reinforcement learning using ordinal action selection and approximate policy iteration.
Int. J. Wavelets Multiresolution Inf. Process., 2016
Lateral control for Autonomous land Vehicles via Dual Heuristic Programming.
Int. J. Robotics Autom., 2016
Forecasting tourism demand by extracting fuzzy Takagi-Sugeno rules from trained SVMs.
CAAI Trans. Intell. Technol., 2016
Large-scale gesture recognition with a fusion of RGB-D data based on the C3D model.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016
2015
Multiobjective Reinforcement Learning: A Comprehensive Overview.
IEEE Trans. Syst. Man Cybern. Syst., 2015
GrDHP: A General Utility Function Representation for Dual Heuristic Dynamic Programming.
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.
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
Dynamic path planning of a mobile robot with improved Q-learning algorithm.
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.
IEEE Trans. Cybern., 2014
Kernel-Based Approximate Dynamic Programming for Real-Time Online Learning Control: An Experimental Study.
IEEE Trans. Control. Syst. Technol., 2014
Self-Learning Cruise Control Using Kernel-Based Least Squares Policy Iteration.
IEEE Trans. Control. Syst. Technol., 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 Networks Learn. Syst., 2013
Goal Representation Heuristic Dynamic Programming on Maze Navigation.
IEEE Trans. Neural Networks Learn. Syst., 2013
Visual Saliency Based on Scale-Space Analysis in the Frequency Domain.
IEEE Trans. Pattern Anal. Mach. Intell., 2013
A hierarchical reinforcement learning approach for optimal path tracking of wheeled mobile robots.
Neural Comput. Appl., 2013
Adaptive speed tracking control for autonomous land vehicles in all-terrain navigation: An experimental study.
J. Field Robotics, 2013
A Hierarchical Reinforcement Learning-Based Approach to Multi-robot Cooperation for target Searching in unknown Environments.
Control. Intell. Syst., 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
A combined hierarchical reinforcement learning based approach for multi-robot cooperative target searching in complex unknown environments.
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.
Expert Syst. Appl., 2012
Stereo matching using weighted dynamic programming on a single-direction four-connected tree.
Comput. Vis. Image Underst., 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
Data-Driven Intelligent Transportation Systems: A Survey.
IEEE Trans. Intell. Transp. Syst., 2011
Variational Inference for Infinite Mixtures of Gaussian Processes With Applications to Traffic Flow Prediction.
IEEE Trans. Intell. Transp. Syst., 2011
A Complementary Modularized Ramp Metering Approach Based on Iterative Learning Control and ALINEA.
IEEE Trans. Intell. Transp. Syst., 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 Gener. Comput. 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
Sequential anomaly detection based on temporal-difference learning: Principles, models and case studies.
Appl. Soft Comput., 2010
Triple RRTs: An Effective Method for Path Planning in Narrow Passages.
Adv. Robotics, 2010
An adaptive roadmap guided Multi-RRTs strategy for single query path planning.
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.
Int. J. Comput. Intell. Syst., 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
2008
Self-learning path-tracking control of autonomous vehicles using kernel-based approximate dynamic programming.
Proceedings of the International Joint Conference on Neural Networks, 2008
2007
Kernel-Based Least Squares Policy Iteration for Reinforcement Learning.
IEEE Trans. Neural Networks, 2007
Classification of Business Travelers Using SVMs Combined with Kernel Principal Component Analysis.
Proceedings of the Advanced Data Mining and Applications, Third International Conference, 2007
2006
Local Stability Analysis of Maximum Nongaussianity Estimation in Independent Component Analysis.
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.
Proceedings of the Sixth International Conference on Intelligent Systems Design and Applications (ISDA 2006), 2006
2005
Self-adaptive FastICA Based on Generalized Gaussian Model.
Proceedings of the Advances in Neural Networks - ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30, 2005
A Theoretical Model and Convergence Analysis of Memetic Evolutionary Algorithms.
Proceedings of the Advances in Natural Computation, First International Conference, 2005
Global Convergence of FastICA: Theoretical Analysis and Practical Considerations.
Proceedings of the Advances in Natural Computation, First International Conference, 2005
2004
Mobile Robot Path-Tracking Using an Adaptive Critic Learning PD Controller.
Proceedings of the Advances in Neural Networks, 2004
2002
Efficient Reinforcement Learning Using Recursive Least-Squares Methods.
J. Artif. Intell. Res., 2002
Evolutionary adaptive-critic methods for reinforcement learning.
Proceedings of the 2002 Congress on Evolutionary Computation, 2002
Residual-gradient-based neural reinforcement learning for the optimal control of an acrobot.
Proceedings of the 2002 IEEE International Symposium on Intelligent Control, 2002