A class of trust-region methods is presented for solving unconstrained nonlinear and possibly nonconvex discretized optimization problems, like those arising in systems governed by...
Serge Gratton, Annick Sartenaer, Philippe L. Toint
We provide an analytical comparison between discounted and average reward temporal-difference (TD) learning with linearly parameterized approximations. We first consider the asympt...
The purpose of this study is to investigate a variational formulation of the problem of three-dimensional (3D) interpretation of temporal image sequences based on the 3D brightnes...
We present the study of a data-driven motion synthesis approach based on a 1D affine imagematching equation. We start by deriving the relevant properties of the exact matching oper...
The quality of the numeric simulation of hybrid systems highly depends on the capability of the simulator to detect discrete events during continuous evolutions. Due to the intera...