We propose a new approach to increase inference performance in environments that require specific sequence of actions order be solved. This is for example the case maze where ideally an optimal path determined. Instead learning policy single step, we want learn can predict n advance. Our proposed method called horizon regression (PHR) uses knowledge environment sampled by A2C dimensional vector...

We define pure intuitionistic differential proof nets, extending Ehrhard and Regnier’s differential interaction nets with the exponential box of Linear Logic. Normalization of the exponential reduction and confluence of the full one is proved. These results are directed and adjusted to give a translation of Boudol’s untyped λ-calculus with resources extended with a linear-non linear reduction à...

The paper presents the semi-numerical solution for the magnetohydrodynamic (MHD) viscous flow due to a stretching sheet caused by boundary layer of an incompressible viscous flow. The governing partial differential equations of momentum equations are reduced into a nonlinear ordinary differential equation (NODE) by using a classical similarity transformation along with appropriate boundary cond...

this paper presents an operational formulation of the tau method based upon orthogonal polynomials by using a reduced set of matrix operations for the numerical solution of nonlinear multi-order fractional differential equations(fdes). the main characteristic behind the approach using this technique is that it reduces such problems to those of solving a system of non-linear algebraic equations....

Recognizing individual salamanders is an important step in assessing their migratory patterns in ecological studies. In this paper, we develop an algorithm that uses distributions of multi-scale differential features to recognize individual salamanders from a database of salamander photographs. In the proposed method, images of salamanders are warped to have straight medial axes and differentia...