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Smita Mahajan, Shruti Patil, Moinuddin Bhavnagri, Rashmi Singh, Kshitiz Kalra, Bhumika Saini, Ketan Kotecha and Jatinderkumar Saini
This paper aims at analyzing the performance of reinforcement learning (RL) agents when trained in environments created by a generative adversarial network (GAN). This is a first step towards the greater goal of developing fast-learning and robust RL age...
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Stylianos Petrakis, Alexandros Skoulakis, Yannis Orphanos, Anastasios Grigoriadis, Georgia Andrianaki, Dimitrios Louloudakis, Nathanail Kortsalioudakis, Athanasios Tsapras, Costas Balas, Dimitrios Zouridis, Efthymios Pachos, Makis Bakarezos, Vasilios Dimitriou, Michael Tatarakis, Emmanouil P. Benis and Nektarios A. Papadogiannis
The rapid growth of nanotechnology has increased the need for fast nanoscale imaging. X-ray free electron laser (XFEL) facilities currently provide such coherent sources of directional and high-brilliance X-ray radiation. These facilities require large f...
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Maximilian Hoffmann and Ralph Bergmann
Similarity-based retrieval of semantic graphs is a core task of Process-Oriented Case-Based Reasoning (POCBR) with applications in real-world scenarios, e.g., in smart manufacturing. The involved similarity computation is usually complex and time-consumi...
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Jonghoek Kim
Three dimensional path planner is crucial for the safe navigation of autonomous vehicles (AV), such as unmanned aerial vehicles or unmanned underwater vehicles, which operate in three dimensions. In this paper, we develop a novel 3D path planner, which i...
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Felix Witt, Javis Nwaboh, Henning Bohlius, Astrid Lampert and Volker Ebert
Water vapor fluxes play a key role in the energy budget of the atmosphere, and better flux measurements are needed to improve our understanding of the formation of clouds and storms. Large-scale measurements of these fluxes are possible by employing the ...
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