Model-based polynomial function approximation with spiking neural networks.
Stefan UlbrichTerrence StewardIgor PericArne RoennauJohann Marius ZöllnerRüdiger DillmannPublished in: IEEE ICCI*CC (2017)
Keyphrases
- function approximation
- spiking neural networks
- model free
- radial basis function
- reinforcement learning
- biologically inspired
- temporal difference
- temporal difference learning algorithms
- learning tasks
- feed forward
- artificial neural networks
- rbf neural network
- learning rules
- function approximators
- neural network
- multi agent
- motor control
- biologically plausible
- training algorithm
- machine learning
- feature extraction
- training data
- learning styles
- hidden layer
- image features
- small number