Learning from demonstration with model-based Gaussian process.
Noémie JaquierDavid GinsbourgerSylvain CalinonPublished in: CoRL (2019)
Keyphrases
- gaussian process
- gaussian processes
- gaussian process regression
- regression model
- model selection
- approximate inference
- bayesian framework
- semi supervised
- hyperparameters
- gaussian process classification
- latent variables
- dynamical model
- expectation propagation
- marginal likelihood
- covariance function
- sparse approximations
- gaussian process models
- fully bayesian
- cross validation