Information-theoretic exploration with Bayesian optimization.
Shi BaiJinkun WangFanfei ChenBrendan J. EnglotPublished in: IROS (2016)
Keyphrases
- information theoretic
- information theory
- mutual information
- minimum description length
- theoretic framework
- kullback leibler divergence
- log likelihood
- jensen shannon divergence
- information bottleneck
- information theoretic measures
- multi modality
- entropy measure
- relative entropy
- kl divergence
- computational learning theory
- posterior probability
- optimization method
- image processing
- maximum likelihood
- graphical models
- image analysis
- pattern recognition
- bayesian networks
- similarity measure