Matrix Low-Rank Approximation for Policy Gradient Methods.
Sergio RozadaAntonio G. MarquesPublished in: ICASSP (2023)
Keyphrases
- low rank approximation
- singular value decomposition
- low rank matrix approximation
- low rank
- policy gradient methods
- subspace learning
- kernel matrix
- spectral clustering
- natural actor critic
- adjacency matrix
- latent semantic indexing
- iterative algorithms
- reconstruction error
- matrix completion
- dimensionality reduction
- learning algorithm
- nonnegative matrix factorization
- robot arm
- policy gradient
- eigendecomposition
- principal component analysis
- graph representation
- matrix factorization
- kernel methods
- missing data
- linear combination
- pairwise