Towards using neural networks to perform object-oriented function approximation.
Dennis TaylorBrett BojdujFranz J. KurfessPublished in: IJCNN (2008)
Keyphrases
- function approximation
- neural network
- object oriented
- function approximators
- radial basis function
- reinforcement learning
- temporal difference learning algorithms
- temporal difference
- model free
- temporal difference learning
- learning tasks
- mackey glass
- pattern recognition
- artificial neural networks
- back propagation
- rbf network
- td learning
- temporal difference methods
- reinforcement learning problems
- reinforcement learning algorithms
- genetic algorithm