Function approximation by deep neural networks with parameters {0, ±½, ±1, 2}.
Aleksandr BeknazaryanPublished in: CoRR (2021)
Keyphrases
- function approximation
- neural network
- radial basis function
- reinforcement learning
- function approximators
- temporal difference learning
- temporal difference
- learning tasks
- artificial neural networks
- model free
- hidden nodes
- temporal difference methods
- temporal difference learning algorithms
- rbf network
- rbfnn
- least squares
- td learning
- pattern recognition
- support vector
- fuzzy systems
- mackey glass
- initial conditions
- back propagation
- active learning
- feature selection
- genetic algorithm