To avoid the curse of dimensionality, function approximators are used in reinforcement learning to learn value functions for individual states. In order to make better use of comp...
This paper presents a typed programming language and compiler for run-time code generation. The language, called ML2, extends ML with modal operators in the style of the Mini-ML2 ...
This chapter gives an overview of our ongoing experimental research in the MeMoSpace project, concerning the cognitive processes underlying human spatial reasoning. Our theoretical...
Markus Knauff, Reinhold Rauh, Christoph Schlieder,...
Oracle Parallel Server (OPS) is a shared disk RDBMS. We present a high level overview of the main architectural issues of OPS and their evolution throughout the releases of the Or...
Roger Bamford, D. Butler, Boris Klots, N. MacNaugh...
Most encryption algorithms are designed without regard to their performance on top-of-the-line microprocessors. This paper discusses general optimization principles algorithms desi...