21 citations · 49 across the 10 of their papers we have counts for
Showing 2024Show all
2 papers · 1 filter
math.GM2024
A Multi-resolution Low-rank Tensor Decomposition
Sergio Rozada, Antonio G. Marques
The (efficient and parsimonious) decomposition of higher-order tensors is a fundamental problem with numerous applications in a variety of fields. Several methods have been propose…
cs.LG2024
Matrix Low-Rank Approximation For Policy Gradient Methods
Sergio Rozada, Antonio G. Marques
Estimating a policy that maps states to actions is a central problem in reinforcement learning. Traditionally, policies are inferred from the so called value functions (VFs), but e…