Scalable Deep Kernel Gaussian Process for Vehicle Dynamics in Autonomous Racing.
Jingyun NingMadhur BehlPublished in: CoRL (2023)
Keyphrases
- gaussian process
- gaussian processes
- dynamical model
- reproducing kernel hilbert space
- gaussian process regression
- dynamical models
- covariance function
- hyperparameters
- kernel logistic regression
- model selection
- regression model
- approximate inference
- latent variables
- bayesian framework
- support vector
- gaussian process models
- sparse approximations
- semi supervised
- gaussian process classification
- dynamical systems
- latent space
- expectation propagation
- probabilistic model
- prior knowledge
- feature space
- cross validation
- kernel function
- kernel methods