2   Artículos

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en línea
Björn Lindenberg, Jonas Nordqvist and Karl-Olof Lindahl    
It is well known that ensemble methods often provide enhanced performance in reinforcement learning. In this paper, we explore this concept further by using group-aided training within the distributional reinforcement learning paradigm. Specifically, we ... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
Stephan T. Kral, Joachim Reuder, Timo Vihma, Irene Suomi, Ewan O?Connor, Rostislav Kouznetsov, Burkhard Wrenger, Alexander Rautenberg, Gabin Urbancic, Marius O. Jonassen, Line Båserud, Björn Maronga, Stephanie Mayer, Torge Lorenz, Albert A. M. Holtslag, Gert-Jan Steeneveld, Andrew Seidl, Martin Müller, Christian Lindenberg, Carsten Langohr, Hendrik Voss, Jens Bange, Marie Hundhausen, Philipp Hilsheimer and Markus Schygulla    
The aim of the research project “Innovative Strategies for Observations in the Arctic Atmospheric Boundary Layer (ISOBAR)” is to substantially increase the understanding of the stable atmospheric boundary layer (SBL) through a combination of ... ver más
Revista: Atmosphere    Formato: Electrónico

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