Regularized feature selection in reinforcement learning.
Dean S. WookeyGeorge Dimitri KonidarisPublished in: Mach. Learn. (2015)
Keyphrases
- feature selection
- reinforcement learning
- feature selection algorithms
- function approximation
- least squares
- robotic control
- text classification
- classification accuracy
- feature space
- feature set
- text categorization
- selected features
- mutual information
- machine learning
- dimensionality reduction
- multi agent
- transfer learning
- markov decision processes
- feature extraction
- unsupervised feature selection
- state space
- irrelevant features
- data sets
- reinforcement learning algorithms
- support vector machine
- total least squares
- risk minimization
- small sample
- microarray data
- gene expression data
- high dimensionality
- unsupervised learning
- multi class
- optimal control
- decision trees
- optimal policy
- temporal difference
- feature weighting
- naive bayes
- action space
- support vector
- learning process
- knn
- method for feature selection
- neural network