The Utility of Sparse Representations for Control in Reinforcement Learning.
Vincent LiuRaksha KumaraswamyLei LeMartha WhitePublished in: AAAI (2019)
Keyphrases
- sparse representation
- reinforcement learning
- dictionary learning
- sparse coding
- optimal control
- image classification
- joint optimization
- image patches
- dimensionality reduction
- compressive sensing
- signal processing
- random projections
- machine learning
- image representation
- state space
- learning algorithm
- pattern recognition
- multiscale
- face recognition
- compressed sensing
- regularized least squares
- high dimensional data
- high resolution
- high dimensional
- negative matrix factorization
- neural network