Probabilistically Robust Bayesian Optimization for Data-Driven Design of Arbitrary Controllers with Gaussian Process Emulators.
Joel A. PaulsonKetong ShaoAli MesbahPublished in: CDC (2021)
Keyphrases
- data driven
- gaussian process
- gaussian processes
- bayesian framework
- marginal likelihood
- latent variables
- semi supervised
- gaussian process regression
- gaussian process classification
- data sets
- reinforcement learning
- hyperparameters
- prior information
- approximate inference
- regression model
- model selection
- covariance function
- training data