This paper investigates the use of reinforcement learning in electric power system emergency control. The approach consists of using numerical simulations together with on-policy M...
We describe an approach to artificially evolving a drawing robot using implicit fitness functions, which are designed to minimise any direct reference to the line patterns made by ...
Jon Bird, Phil Husbands, Martin Perris, Bill Bigge...
In this paper we look at the developmentof ScaLAPACK, a software library for dense and banded numerical linear algebra, and the NAG Numerical PVM Library, which includes software ...
We propose a new BDD-based method for decomposition of multi-output incompletely specified logic functions into netlists of two-input logic gates. The algorithm uses the internal ...
Alan Mishchenko, Bernd Steinbach, Marek A. Perkows...
Abstract. The growing availability of measurement devices in the operating room enables the collection of a huge amount of data about the state of the patient and the doctors’ pr...