A note on linear function approximation using random projections.
Kishor BarmanVivek S. BorkarPublished in: Syst. Control. Lett. (2008)
Keyphrases
- function approximation
- random projections
- temporal difference learning algorithms
- reinforcement learning
- function approximators
- dimensionality reduction
- temporal difference
- dimension reduction
- random sampling
- sparse representation
- radial basis function
- image reconstruction
- original data
- learning tasks
- hash functions
- low dimensional
- document clustering
- principal component analysis
- singular value decomposition
- high dimensionality
- machine learning
- document collections
- linear combination
- data points
- high dimensional
- feature space
- image processing