Evolutionary Reinforcement Learning for Automated Hyperparameter Optimization in EEG Classification.
Dong-Hee ShinDong-Hee KoJi-Wung HanTae-Eui KamPublished in: BCI (2022)
Keyphrases
- reinforcement learning
- automated classification
- decision trees
- pattern recognition
- machine learning
- eeg signals
- support vector
- feature extraction
- evolutionary optimization
- classification method
- model selection
- classification accuracy
- supervised learning
- feature vectors
- support vector machine svm
- optimization problems
- text classification
- evolutionary computation
- learning algorithm
- function approximation
- eeg data
- pattern classification
- optimization algorithm
- signal processing
- support vector machine
- feature selection
- classification algorithm
- optimal policy
- gaussian processes
- evolutionary strategy
- learning process
- neural network