Boosting Reinforcement Learning with Unsupervised Feature Extraction.
Simon HakenesTobias GlasmachersPublished in: ICANN (1) (2019)
Keyphrases
- reinforcement learning
- feature extraction
- discriminant projection
- learning algorithm
- supervised learning
- feature selection
- semisupervised learning
- unsupervised learning
- machine learning
- function approximation
- face recognition
- image classification
- state space
- reinforcement learning algorithms
- pattern recognition
- dimensionality reduction
- preprocessing
- feature vectors
- discriminant analysis
- linear discriminant analysis
- model free
- frequency domain
- optimal policy
- support vector machine svm
- semi supervised
- wavelet transform
- boosting algorithms
- principal component analysis
- dynamic programming
- pattern classification
- ensemble methods
- adaboost algorithm
- defect detection
- feature extractors
- image processing
- learning process
- multi class
- feature space
- labeled data
- semi supervised learning
- temporal difference
- decision trees
- support vector machine
- training set
- weak learners
- cost sensitive
- transfer learning
- weak classifiers
- combining multiple
- ensemble learning
- palmprint
- learning problems
- gabor filters
- evaluation function