Boosted Convolutional Neural Networks for Motor Imagery EEG Decoding with Multiwavelet-based Time-Frequency Conditional Granger Causality Analysis

no code implementations • 22 Oct 2018 • Yang Li, Meng-Ying Lei, Xianrui Zhang, Weigang Cui, Yuzhu Guo, Ting-Wen Huang, Hua-Liang Wei

Decoding EEG signals of different mental states is a challenging task for brain-computer interfaces (BCIs) due to nonstationarity of perceptual decision processes.

Binary Classification EEG +2

Q-learning for Optimal Control of Continuous-time Systems

no code implementations • 11 Oct 2014 • Biao Luo, Derong Liu, Ting-Wen Huang

By introducing the Q-function for continuous-time systems, policy iteration based QL (PIQL) and value iteration based QL (VIQL) algorithms are proposed for learning the optimal control policy from real system data rather than using mathematical system model.

Q-Learning

Data-based approximate policy iteration for nonlinear continuous-time optimal control design

no code implementations • 2 Nov 2013 • Biao Luo, Huai-Ning Wu, Ting-Wen Huang, Derong Liu

Firstly, a model-free policy iteration algorithm is derived for constrained optimal control problem and its convergence is proved, which can learn the solution of HJB equation and optimal control policy without requiring any knowledge of system mathematical model.