Matrix Low-Rank Approximation For Policy Gradient Methods.
Sergio RozadaAntonio G. MarquesPublished in: CoRR (2024)
Keyphrases
- low rank approximation
- singular value decomposition
- low rank matrix approximation
- low rank
- policy gradient methods
- subspace learning
- kernel matrix
- adjacency matrix
- iterative algorithms
- spectral clustering
- latent semantic indexing
- reconstruction error
- nonnegative matrix factorization
- linear combination
- neural network
- dimensionality reduction
- matrix completion
- natural actor critic
- policy gradient
- positive definite
- kernel function
- optical flow
- high dimensional
- machine learning