Zhenhua Huang

Affiliations:
  • Rocket Engineering Design and Research Institute, Beijing, China
  • National University of Defense Technology, Changsha, China (former)


According to our database1, Zhenhua Huang authored at least 16 papers between 2012 and 2021.

Collaborative distances:

Timeline

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Bibliography

2021
Multi-Kernel Online Reinforcement Learning for Path Tracking Control of Intelligent Vehicles.
IEEE Trans. Syst. Man Cybern. Syst., 2021

2019
Parameterized Batch Reinforcement Learning for Longitudinal Control of Autonomous Land Vehicles.
IEEE Trans. Syst. Man Cybern. Syst., 2019

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

Model-Free Multi-Kernel Learning control for nonlinear discrete-Time Systems.
Int. J. Robotics Autom., 2017

2016
Lateral control for Autonomous land Vehicles via Dual Heuristic Programming.
Int. J. Robotics Autom., 2016

High-precision motion control method and practice for autonomous driving in complex off-road environments.
Proceedings of the 2016 IEEE Intelligent Vehicles Symposium, 2016

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

Combining local trajectory planning and tracking control for autonomous ground vehicles navigating along a reference path.
Proceedings of the 17th International IEEE Conference on Intelligent Transportation Systems, 2014

2013
A hierarchical reinforcement learning approach for optimal path tracking of wheeled mobile robots.
Neural Comput. Appl., 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 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

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

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


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