Abstract. Approximate Policy Iteration (API) is a reinforcement learning paradigm that is able to solve high-dimensional, continuous control problems. We propose to exploit API for...
This paper presents results of extensive computational experiments in which evolutionary multiobjective algorithms were used to find Pareto-optimal solutions to a complex structura...
Rafal Kicinger, Shigeru Obayashi, Tomasz Arciszews...
While hard disk drives are the most common secondary storage devices, their high power consumption and low shockresistance limit them as an ideal mobile storage solution. On the o...
The field of e-science currently faces many challenges. Among the most important ones are the analysis of huge volumes of scientific data and the connection of various sciences an...
Richard Kuntschke, Tobias Scholl, Sebastian Huber,...
Abstract. We consider the problem of efficient key management and user revocation in cryptographic file systems that allow shared access to files. A performanceefficient solution t...