State following (StaF) kernel functions for function approximation part II: Adaptive dynamic programming.
Rushikesh KamalapurkarJoel A. RosenfeldWarren E. DixonPublished in: ACC (2015)
Keyphrases
- function approximation
- kernel function
- reinforcement learning
- dynamic programming
- kernel methods
- support vector
- state space
- temporal difference learning algorithms
- radial basis function
- learning tasks
- temporal difference
- support vector machine
- feature space
- high dimensional
- input space
- decision trees
- kernel matrix
- machine learning
- svm classifier
- pattern recognition
- data mining
- text classification
- hyperplane
- support vector regression
- image processing
- genetic algorithm