Information-theoretic Task Selection for Meta-Reinforcement Learning.
Ricardo Luna GutierrezMatteo LeonettiPublished in: NeurIPS (2020)
Keyphrases
- information theoretic
- reinforcement learning
- information theory
- mutual information
- theoretic framework
- jensen shannon divergence
- information bottleneck
- entropy measure
- kullback leibler divergence
- information theoretic measures
- log likelihood
- multi modality
- relative entropy
- minimum description length
- learning algorithm
- machine learning
- covariance matrix
- learning problems
- distance function
- supervised learning
- support vector
- computational learning theory
- feature selection
- data mining