Information-theoretic Task Selection for Meta-Reinforcement Learning.
Ricardo Luna GutierrezMatteo LeonettiPublished in: CoRR (2020)
Keyphrases
- information theoretic
- reinforcement learning
- mutual information
- information theory
- theoretic framework
- information theoretic measures
- information bottleneck
- entropy measure
- minimum description length
- log likelihood
- machine learning
- kullback leibler divergence
- relative entropy
- jensen shannon divergence
- multi modality
- graphical models
- support vector
- maximum likelihood
- computational learning theory
- image analysis
- bregman divergences
- similarity measure
- learning algorithm