State following (StaF) kernel functions for function approximation Part I: Theory and motivation.
Joel A. RosenfeldRushikesh KamalapurkarWarren E. DixonPublished in: ACC (2015)
Keyphrases
- function approximation
- kernel function
- radial basis function
- reinforcement learning
- support vector
- input space
- kernel methods
- representer theorem
- temporal difference learning algorithms
- feature space
- learning tasks
- kernel matrix
- support vector machine
- temporal difference
- kernel learning
- high dimensional
- reproducing kernel hilbert space
- feature set
- semi supervised
- svm classifier
- artificial neural networks
- hyperplane
- image processing
- data sets