2 citations · 4 across the 4 of their papers we have counts for
4 papers
Limited depth bandit-based strategy for Monte Carlo planning in continuous action spaces
Ricardo Quinteiro, Francisco S. Melo, Pedro A. Santos
This paper addresses the problem of optimal control using search trees. We start by considering multi-armed bandit problems with continuous action spaces and propose LD-HOO, a limi…
Equilibrium Propagation for Complete Directed Neural Networks
Matilde Tristany Farinha, Sérgio Pequito, Pedro A. Santos +1
Artificial neural networks, one of the most successful approaches to supervised learning, were originally inspired by their biological counterparts. However, the most successful le…
Approximation sequences on Banach spaces: a rich approach
Helena Mascarenhas, Pedro A. Santos, Markus Seidel
Criteria for the stability of finite sections of a large class of convolution type operators on are obtained. In this class almost all classical symbols are permi…
Finite Section Method for a Banach Algebra of Convolution Type Operators on with Symbols Generated by and
Alexei Yu. Karlovich, Helena Mascarenhas, Pedro A. Santos
We prove the applicability of the finite section method to an arbitrary operator in the Banach algebra generated by the operators of multiplication by piecewise continuous function…