Abstract-- Reinforcement Programming (RP) is a new approach to automatically generating algorithms, that uses reinforcement learning techniques. This paper describes the RP approac...
Spencer K. White, Tony R. Martinez, George L. Rudo...
Abstract. Domain-Specific Languages (DSLs) represent a proven approach to raising the abstraction level of programming. They offer highlevel constructs and notations dedicated to...
We present a fully connectionist system for the learning of first-order logic programs and the generation of corresponding models: Given a program and a set of training examples,...
Automatically generated HTML, as produced by WYSIWYG programs, typically contains much repetitive and unnecessary markup. This paper identifies aspects of such HTML that may be al...
Abstract: Probabilistically constrained problems, in which the random variables are finitely distributed, are nonconvex in general and hard to solve. The p-efficiency concept has b...