Spectral Entry-wise Matrix Estimation for Low-Rank Reinforcement Learning.
Stefan StojanovicYassir JedraAlexandre ProutièrePublished in: NeurIPS (2023)
Keyphrases
- low rank
- reinforcement learning
- low rank matrix
- singular value decomposition
- missing data
- matrix completion
- matrix factorization
- convex optimization
- matrix decomposition
- rank minimization
- linear combination
- trace norm
- semi supervised
- kernel matrix
- factorization methods
- function approximation
- high order
- singular values
- high dimensional data
- data matrix
- kernel matrices
- robust principal component analysis
- regularized regression
- collaborative filtering
- learning algorithm
- affinity matrix
- nuclear norm
- frobenius norm
- low rank matrices
- low rank and sparse
- higher order
- minimization problems
- data sets
- eigendecomposition
- principal component analysis
- learning process
- pattern recognition
- feature selection
- data mining