Tensor Low-rank Approximation of Finite-horizon Value Functions.
Sergio RozadaAntonio G. MarquesPublished in: CoRR (2024)
Keyphrases
- finite horizon
- low rank approximation
- infinite horizon
- optimal policy
- markov decision processes
- multistage
- singular value decomposition
- markov decision process
- dimensionality reduction
- higher order
- high order
- low rank
- data dependent
- subspace learning
- kernel matrix
- iterative algorithms
- machine learning
- directed graph
- spectral clustering
- least squares
- semi supervised
- dynamic programming
- feature extraction