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Arthur Müller
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2020 – today
- 2024
- [j2]Arthur Müller, Felix Grumbach, Fiona Kattenstroth:
Reinforcement Learning for Two-Stage Permutation Flow Shop Scheduling - A Real-World Application in Household Appliance Production. IEEE Access 12: 11388-11399 (2024) - [c9]Arthur Müller, Felix Grumbach, Matthia Sabatelli:
Smaller Batches, Bigger Gains? Investigating the Impact of Batch Sizes on Reinforcement Learning Based Real-World Production Scheduling. ETFA 2024: 1-8 - [i6]Arthur Müller, Felix Grumbach, Matthia Sabatelli:
Smaller Batches, Bigger Gains? Investigating the Impact of Batch Sizes on Reinforcement Learning Based Real-World Production Scheduling. CoRR abs/2406.02294 (2024) - [i5]Daniel Fischer, Hannah M. Hüsener, Felix Grumbach, Lukas Vollenkemper, Arthur Müller, Pascal Reusch:
Demystifying Reinforcement Learning in Production Scheduling via Explainable AI. CoRR abs/2408.09841 (2024) - [i4]Arthur Müller, Lukas Vollenkemper:
Reinforcement Learning as an Improvement Heuristic for Real-World Production Scheduling. CoRR abs/2409.11933 (2024) - 2023
- [c8]Arthur Müller, Matthia Sabatelli:
Bridging the Reality Gap of Reinforcement Learning based Traffic Signal Control using Domain Randomization and Meta Learning. ITSC 2023: 5271-5278 - [i3]Arthur Müller, Matthia Sabatelli:
Bridging the Reality Gap of Reinforcement Learning based Traffic Signal Control using Domain Randomization and Meta Learning. CoRR abs/2307.11357 (2023) - 2022
- [c7]Arthur Müller, Andreas Dafnos:
SPARTA at CASE 2021 Task 1: Evaluating Different Techniques to Improve Event Extraction. CASE@EMNLP 2022: 189-194 - [c6]Arthur Müller, Jasmin Riedl, Wiebke Drews:
Real-Time Stance Detection and Issue Analysis of the 2021 German Federal Election Campaign on Twitter. EGOV 2022: 125-146 - [c5]Arthur Müller, Matthia Sabatelli:
Safe and Psychologically Pleasant Traffic Signal Control with Reinforcement Learning using Action Masking. ITSC 2022: 951-958 - [i2]Arthur Müller, Matthia Sabatelli:
Safe and Psychologically Pleasant Traffic Signal Control with Reinforcement Learning using Action Masking. CoRR abs/2206.10122 (2022) - 2021
- [c4]Arthur Müller, Maite López-Sánchez:
Countering Negative Effects of Hate Speech in a Multi-Agent Society. CCIA 2021: 103-112 - [c3]Arthur Müller, Vishal Rangras, Tobias Ferfers, Florian Hufen, Lukas Schreckenberg, Jürgen Jasperneite, Georg Schnittker, Michael Waldmann, Maxim Friesen, Marco A. Wiering:
Towards Real-World Deployment of Reinforcement Learning for Traffic Signal Control. ICMLA 2021: 507-514 - [i1]Arthur Müller, Vishal Rangras, Georg Schnittker, Michael Waldmann, Maxim Friesen, Tobias Ferfers, Lukas Schreckenberg, Florian Hufen, Jürgen Jasperneite, Marco A. Wiering:
LemgoRL: An open-source Benchmark Tool to Train Reinforcement Learning Agents for Traffic Signal Control in a real-world simulation scenario. CoRR abs/2103.16223 (2021)
2010 – 2019
- 2019
- [j1]Sandra Amend, David Brandt, Daniel Di Marco, Tobias Dipper, Gabriel Gässler, Markus Höferlin, Maurice Gohlke, Katharina Kesenheimer, Peter Lindner, Roland Leidenfrost, Andreas Michaels, Tobias Mugele, Arthur Müller, Tanja Riffel, Yeshwanth Sampangi, Jan Winkler:
Weed Management of the Future. Künstliche Intell. 33(4): 411-415 (2019) - [c2]Khaled Al-Gumaei, Arthur Müller, Jan Nicolas Weskamp, Claudio Santo Longo, Florian Pethig, Stefan Windmann:
Scalable Analytics Platform for Machine Learning in Smart Production Systems. ETFA 2019: 1155-1162 - 2010
- [c1]Arthur Müller, Sebastian Rönnau, Uwe M. Borghoff:
A file-type sensitive, auto-versioning file system. ACM Symposium on Document Engineering 2010: 271-274
Coauthor Index
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last updated on 2024-10-31 20:14 CET by the dblp team
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