A Reinforcement Learning Approach Based on the Fuzzy Min-Max Neural Network.
Aristidis LikasKonstantinos BlekasPublished in: Neural Process. Lett. (1996)
Keyphrases
- neural network
- fuzzy min max
- reinforcement learning
- function approximators
- function approximation
- back propagation
- fuzzy logic
- state space
- pattern recognition
- learning capabilities
- artificial neural networks
- optimal policy
- learning algorithm
- neural network model
- machine learning
- convolutional neural network
- radial basis function
- multi agent
- recurrent neural networks
- dynamic programming
- neural nets
- hybrid neural
- fault diagnosis
- feed forward neural networks
- fuzzy neural network
- learning classifier systems
- markov decision processes
- model free
- reinforcement learning algorithms
- multi layer perceptron
- learning vector quantization
- self organizing maps
- temporal difference
- training algorithm
- hidden layer
- optimal control
- transfer learning
- prediction model
- dynamical systems