A Proposal of Neural Network Architecture for Non-Linear Function Approximation.
Yoshiki MizukamiYuji WakasaKanya TanakaPublished in: ICPR (4) (2004)
Keyphrases
- function approximation
- reinforcement learning
- radial basis function
- temporal difference learning
- learning tasks
- temporal difference learning algorithms
- temporal difference
- function approximators
- state space
- reinforcement learning algorithms
- td learning
- mackey glass
- linear combination
- learning styles
- feature space
- multi agent
- feature extraction
- machine learning
- data mining
- temporal difference methods
- data sets