Interpretable Reinforcement Learning with Ensemble Methods.
Alexander BrownMarek PetrikPublished in: CoRR (2018)
Keyphrases
- ensemble methods
- reinforcement learning
- prediction accuracy
- machine learning methods
- random forests
- benchmark datasets
- decision trees
- ensemble learning
- majority voting
- random forest
- generalization ability
- function approximation
- drifting concepts
- base classifiers
- machine learning
- classifier ensemble
- multiple models
- ensemble feature selection
- base learners
- bootstrap sampling
- decision tree ensembles
- ensemble classifier
- learning algorithm
- ensemble members
- transfer learning
- feature subset
- supervised learning
- trade off
- meta learning
- data sets