On optimal steering of a non-Markovian Gaussian process.
Daniele AlpagoYongxin ChenTryphon T. GeorgiouMichele PavonPublished in: CDC (2019)
Keyphrases
- gaussian process
- gaussian processes
- gaussian process regression
- approximate inference
- regression model
- latent variables
- bayesian framework
- model selection
- gaussian process classification
- sparse approximations
- covariance function
- hyperparameters
- optimal solution
- worst case
- dynamic programming
- reinforcement learning
- expectation propagation
- generative model
- closed form
- semi supervised
- feature space
- machine learning