Spectral Entry-wise Matrix Estimation for Low-Rank Reinforcement Learning.
Stefan StojanovicYassir JedraAlexandre ProutièrePublished in: CoRR (2023)
Keyphrases
- low rank
- reinforcement learning
- matrix factorization
- low rank matrix
- linear combination
- missing data
- singular value decomposition
- convex optimization
- trace norm
- matrix decomposition
- matrix completion
- rank minimization
- semi supervised
- factorization methods
- high dimensional data
- high order
- regularized regression
- singular values
- nuclear norm
- frobenius norm
- low rank matrices
- data matrix
- kernel matrix
- kernel matrices
- low rank and sparse
- machine learning
- function approximation
- learning algorithm
- affinity matrix
- eigendecomposition
- state space
- pairwise
- minimization problems
- temporal difference
- least squares
- nearest neighbor
- binary matrix
- robust principal component analysis
- tensor decomposition
- learning process
- pattern recognition
- data mining