Matrix Estimation for Offline Reinforcement Learning with Low-Rank Structure.
Xumei XiChristina Lee YuYudong ChenPublished in: CoRR (2023)
Keyphrases
- low rank
- low rank matrix
- reinforcement learning
- singular value decomposition
- convex optimization
- missing data
- trace norm
- matrix decomposition
- matrix completion
- linear combination
- matrix factorization
- rank minimization
- high dimensional data
- semi supervised
- singular values
- high order
- frobenius norm
- nuclear norm
- factorization methods
- low rank and sparse
- low rank matrices
- image processing
- data matrix
- robust principal component analysis
- kernel matrices
- tensor decomposition
- machine learning
- kernel matrix
- function approximation
- data analysis
- minimization problems
- low rank approximation
- nonnegative matrix factorization
- regularized regression