Hermite kernel surrogates for the value function of high-dimensional nonlinear optimal control problems.
Tobias EhringBernard HaasdonkPublished in: CoRR (2023)
Keyphrases
- high dimensional
- optimal control problems
- optimal control
- feature space
- kernel principal component analysis
- kernel function
- solving nonlinear
- dimensionality reduction
- kernel pca
- reproducing kernel hilbert space
- kernel methods
- nonlinear functions
- input space
- low dimensional
- neural network
- mathematical model
- artificial neural networks
- nonlinear equations
- support vector
- machine learning