Information-Theoretic State Variable Selection for Reinforcement Learning.
Charles WestphalStephen HailesMirco MusolesiPublished in: CoRR (2024)
Keyphrases
- information theoretic
- variable selection
- reinforcement learning
- information theory
- mutual information
- cross validation
- theoretic framework
- input variables
- jensen shannon divergence
- high dimensional
- model selection
- information bottleneck
- entropy measure
- neural network
- dimension reduction
- multi modality
- learning algorithm
- ls svm
- kl divergence
- pattern recognition
- feature selection