Neural networks for incremental dimensionality reduced reinforcement learning.
William CurranRey PociusWilliam D. SmartPublished in: IROS (2017)
Keyphrases
- neural network
- reinforcement learning
- reduced dimensionality
- pattern recognition
- function approximators
- dimensionality reduction
- high dimensional
- machine learning
- incremental learning
- function approximation
- artificial neural networks
- state space
- multi agent
- markov decision processes
- model free
- learning algorithm
- high dimensionality
- fault diagnosis
- fuzzy systems
- fuzzy logic
- policy search
- multi layer
- learning capabilities
- rule extraction
- data sets
- recurrent neural networks
- neural network model
- self organizing maps
- optimal policy
- dynamic programming
- learning process
- feature space
- transfer learning
- high dimensional data
- learning classifier systems
- multi layer perceptron
- supervised learning
- reinforcement learning algorithms
- nearest neighbor
- genetic algorithm