Uncertainty-Based Out-of-Distribution Classification in Deep Reinforcement Learning.
Andreas SedlmeierThomas GaborThomy PhanLenz BelznerClaudia Linnhoff-PopienPublished in: CoRR (2020)
Keyphrases
- reinforcement learning
- pattern recognition
- machine learning
- pattern classification
- decision trees
- classification accuracy
- classification algorithm
- unsupervised learning
- automatic classification
- classification rules
- classification scheme
- image classification
- supervised learning
- support vector machine
- training set
- learning process
- classification systems
- benchmark datasets
- belief functions
- cross validation
- classification method
- feature extraction
- feature selection
- temporal difference
- data sets
- class conditional
- function approximation
- classification models
- data distribution
- class labels
- machine learning algorithms
- feature space
- learning algorithm