Using Radial Basis Functions to Approximate the LQG-Optimal Event-Based Sampling Policy.
Marcus Thelander AndrénPublished in: ECC (2019)
Keyphrases
- radial basis function
- optimal control
- dynamic programming
- function approximation
- artificial neural networks
- rbf network
- multilayer perceptron
- neural network
- generalization capabilities
- linear quadratic
- optimal solution
- basis functions
- motion planning
- support vector machine svm
- support vector
- reinforcement learning
- optimal policy
- feature vectors
- machine learning