Gradient-enhanced multifidelity neural networks for high-dimensional function approximation.
Jethro NagawkarLeifur LeifssonPublished in: CoRR (2021)
Keyphrases
- function approximation
- neural network
- high dimensional
- function approximators
- radial basis function
- reinforcement learning
- policy gradient
- temporal difference
- mackey glass
- temporal difference learning
- low dimensional
- pattern recognition
- temporal difference learning algorithms
- dimensionality reduction
- model free
- fuzzy systems
- artificial neural networks
- back propagation
- nearest neighbor
- learning tasks
- reinforcement learning algorithms
- gradient method
- input space
- feature space
- fuzzy logic
- dynamic programming
- rbf network
- recurrent neural networks
- convergence rate
- support vector
- training samples
- k nearest neighbor
- image classification
- td learning
- temporal difference methods