We reuse here the framework, the setting, and the semantic modelling for the automated synthesis of the SWS Challenge Mediator presented in the companion paper [5], and show how to...
Christian Kubczak, Tiziana Margaria, Matthias Kais...
In this paper the application of reinforcement learning to Tetris is investigated, particulary the idea of temporal difference learning is applied to estimate the state value funct...
While it is well-known that model can enhance the control performance in terms of precision or energy efficiency, the practical application has often been limited by the complexiti...
Duy Nguyen-Tuong, Jan Peters, Matthias Seeger, Ber...
Assuring safety in the home network system (HNS) is a crucial issue to guarantee high quality of life. In this position paper, we first review our previous work, formulating three...
In this work, we propose and compare several methods for the visualization and exploration of time-varying volumetric medical images based on the temporal characteristics of the d...