Learning from demonstration with model-based Gaussian process.
Noémie JaquierDavid GinsbourgerSylvain CalinonPublished in: CoRR (2019)
Keyphrases
- gaussian process
- gaussian processes
- gaussian process regression
- gaussian process classification
- approximate inference
- regression model
- bayesian framework
- hyperparameters
- model selection
- semi supervised
- latent variables
- sparse approximations
- dynamical model
- expectation propagation
- random sampling
- covariance function
- gaussian process models
- similarity measure
- data sets
- prior information
- closed form
- sample size
- generative model
- maximum likelihood
- probabilistic model
- data streams