Hongliang Li
Orcid: 0000-0001-5387-0825Affiliations:
- Tencent Inc., AI Platform Department, Shenzhen, China
- IBM Research-China, Beijing, China (2015 - 2016)
- Chinese Academy of Sciences, Institute of Automation, Beijing, China (PhD 2015)
According to our database1,
Hongliang Li
authored at least 26 papers
between 2012 and 2018.
Collaborative distances:
Collaborative distances:
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Bibliography
2018
IEEE Trans. Neural Networks Learn. Syst., 2018
Distributed algorithm for dissensus of a class of networked multiagent systems using output information.
Soft Comput., 2018
2017
Error Bound Analysis of Q-Function for Discounted Optimal Control Problems With Policy Iteration.
IEEE Trans. Syst. Man Cybern. Syst., 2017
2016
An Approximate Optimal Control Approach for Robust Stabilization of a Class of Discrete-Time Nonlinear Systems With Uncertainties.
IEEE Trans. Syst. Man Cybern. Syst., 2016
A neural-network-based online optimal control approach for nonlinear robust decentralized stabilization.
Soft Comput., 2016
Proceedings of the 2016 IEEE International Conference on Service Operations and Logistics, 2016
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016
2015
Error Bounds of Adaptive Dynamic Programming Algorithms for Solving Undiscounted Optimal Control Problems.
IEEE Trans. Neural Networks Learn. Syst., 2015
Neural-network-based decentralized control of continuous-time nonlinear interconnected systems with unknown dynamics.
Neurocomputing, 2015
Feature selection and feature learning for high-dimensional batch reinforcement learning: A survey.
Int. J. Autom. Comput., 2015
Approximate policy iteration with unsupervised feature learning based on manifold regularization.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015
Neural-network-based finite horizon optimal control for partially unknown linear continuous-time systems.
Proceedings of the Seventh International Conference on Advanced Computational Intelligence, 2015
Adaptive dynamic programming for infinite horizon optimal robust guaranteed cost control of a class of uncertain nonlinear systems.
Proceedings of the American Control Conference, 2015
2014
Online Synchronous Approximate Optimal Learning Algorithm for Multi-Player Non-Zero-Sum Games With Unknown Dynamics.
IEEE Trans. Syst. Man Cybern. Syst., 2014
Decentralized Stabilization for a Class of Continuous-Time Nonlinear Interconnected Systems Using Online Learning Optimal Control Approach.
IEEE Trans. Neural Networks Learn. Syst., 2014
Neural-Network-Based Online HJB Solution for Optimal Robust Guaranteed Cost Control of Continuous-Time Uncertain Nonlinear Systems.
IEEE Trans. Cybern., 2014
Policy Iteration Algorithm for Online Design of Robust Control for a Class of Continuous-Time Nonlinear Systems.
IEEE Trans Autom. Sci. Eng., 2014
Integral Reinforcement Learning for Linear Continuous-Time Zero-Sum Games With Completely Unknown Dynamics.
IEEE Trans Autom. Sci. Eng., 2014
Neural-network-based robust optimal control design for a class of uncertain nonlinear systems via adaptive dynamic programming.
Inf. Sci., 2014
Data-driven iterative adaptive dynamic programming algorithm for approximate optimal control of unknown nonlinear systems.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014
Proceedings of the 2014 IEEE Symposium on Intelligent Agents, 2014
2013
Adaptive optimal control for a class of continuous-time affine nonlinear systems with unknown internal dynamics.
Neural Comput. Appl., 2013
Neural-network-based zero-sum game for discrete-time nonlinear systems via iterative adaptive dynamic programming algorithm.
Neurocomputing, 2013
Integral Policy Iteration for Zero-Sum Games with Completely Unknown Nonlinear Dynamics.
Proceedings of the Neural Information Processing - 20th International Conference, 2013
Proceedings of the 3rd IFAC International Conference on Intelligent Control and Automation Science, 2013
2012
H∞ control of unknown discrete-time nonlinear systems with control constraints using adaptive dynamic programming.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012