Model-based reinforcement learning with dimension reduction.
Voot TangkarattJun MorimotoMasashi SugiyamaPublished in: Neural Networks (2016)
Keyphrases
- dimension reduction
- model based reinforcement learning
- markov decision processes
- principal component analysis
- feature extraction
- low dimensional
- high dimensional
- linear discriminant analysis
- singular value decomposition
- reinforcement learning
- high dimensional data
- cluster analysis
- dimensionality reduction
- high dimensionality
- unsupervised learning
- feature space
- feature selection
- relational databases
- preprocessing
- optimal policy
- hidden markov models
- database
- image processing
- support vector
- clustering algorithm
- databases