A Gaussian Process Reinforcement Learning Algorithm with Adaptability and Minimal Tuning Requirements.
Jonathan StrahlTimo HonkelaPaul WagnerPublished in: ICANN (2014)
Keyphrases
- gaussian process
- gaussian processes
- gaussian process regression
- model selection
- regression model
- bayesian framework
- semi supervised
- approximate inference
- gaussian process classification
- hyperparameters
- latent variables
- dynamical model
- marginal likelihood
- gaussian process models
- sparse approximations
- covariance function
- parameter settings
- generative model
- cross validation
- image processing
- expectation propagation
- machine learning