Feature extraction in Q-learning using neural networks.
Henghui ZhuIoannis Ch. PaschalidisMichael E. HasselmoPublished in: CDC (2017)
Keyphrases
- neural network
- feature extraction
- pattern recognition
- reinforcement learning
- function approximation
- preprocessing
- cooperative
- learning algorithm
- fuzzy logic
- back propagation
- image classification
- feature vectors
- feature space
- artificial neural networks
- neural nets
- multi agent
- discriminant analysis
- extracted features
- feature representation
- fault diagnosis
- pattern classification
- self organizing maps
- feed forward
- fuzzy systems
- dimensionality reduction
- principal component analysis
- state space
- face recognition
- palmprint
- linear feature extraction
- multi layer
- temporal difference learning
- reinforcement learning algorithms
- recurrent neural networks
- neural network model
- wavelet transform
- support vector
- feature selection
- genetic algorithm
- frequency domain
- model free
- image processing
- stochastic approximation
- feature extraction and classification
- multi agent reinforcement learning