2 papers
cs.LG2024
Matryoshka Policy Gradient for Entropy-Regularized RL: Convergence and Global Optimality
François Ged, Maria Han Veiga
A novel Policy Gradient (PG) algorithm, called (MPG), is introduced and studied, in the context of fixed-horizon max-entropy reinforcement lea…
math.NA2024
A new variable shape parameter strategy for RBF approximation using neural networks
Fatemeh Nassajian Mojarrad, Maria Han Veiga, Jan S. Hesthaven +1
The choice of the shape parameter highly effects the behaviour of radial basis function (RBF) approximations, as it needs to be selected to balance between ill-condition of the int…