Steffen Udluft
Impact in
- Artificial Intelligence top 5%
- Reinforcement Learning in Robotics
- Evolutionary Algorithms and Applications
- Adversarial Robustness in Machine Learning
- Neural Networks and Applications
- Explainable Artificial Intelligence (XAI)
- Anomaly Detection Techniques and Applications
Papers in
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- Reinforcement Learning in Robotics 22
- Evolutionary Algorithms and Applications 6
- Neural Networks and Applications 6
- Adversarial Robustness in Machine Learning 3
- Machine Learning and Algorithms 3
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- Fault Detection and Control Systems 5
- Advanced Control Systems Optimization 5
- Co-authors
- Thomas A. Runkler (12 shared papers)Alexander Hentschel (5 shared papers)Hans-Georg Zimmermann (3 shared papers)Stefan Depeweg (4 shared papers)Finale Doshi‐Velez (2 shared papers)José Miguel Hernández-Lobato (3 shared papers)Anton Maximilian Schäfer (2 shared papers)Thomas Martinetz (3 shared papers)
- Journals
- Neurocomputing (2 papers)Engineering Applications of Artificial Intelligence (1 paper)IEEE Transactions on Nuclear Science (1 paper)International Journal of Modern Physics C (1 paper)IFAC-PapersOnLine (1 paper)
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Steffen Udluft
31 papers receiving 345 citations
Peers
Comparison fields: 5 of 70
- Artificial Intelligence 253
- Computational Mathematics 4
- Control and Systems Engineering 89
- Computational Theory and Mathematics 42
- Management Science and Operations Research 28
Countries citing papers authored by Steffen Udluft
This map shows the geographic impact of Steffen Udluft's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Steffen Udluft with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steffen Udluft more than expected).
Fields of papers citing papers by Steffen Udluft
This network shows the impact of papers produced by Steffen Udluft. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Steffen Udluft. The network helps show where Steffen Udluft may publish in the future.
Co-authors
The 25 scholars most cited alongside Steffen Udluft, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 55 | |
| 2 | 2017 | 42 | |
| 3 | Safe exploration for reinforcement learning. | 2008 | 37 |
| 4 | 2008 | 37 | |
| 5 | 2010 | 23 | |
| 6 | 2007 | 21 | |
| 7 | 2007 | 21 | |
| 8 | 2016 | 18 | |
| 9 | 2022 | 18 | |
| 10 | 2017 | 17 | |
| 11 | Decomposition of Uncertainty for Active Learning and Reliable Reinforcement Learning in Stochastic Systems. | 2017 | 10 |
| 12 | 2018 | 10 | |
| 13 | Neural Rewards Regression for Near-optimal Policy Identification in Markovian and Partial Observable Environments | 2007 | 6 |
| 14 | 2019 | 6 | |
| 15 | 2015 | 5 | |
| 16 | The Markov Decision Process Extraction Network | 2010 | 4 |
| 17 | 2007 | 4 | |
| 18 | Kernel rewards regression: an information efficient batch policy iteration approach | 2006 | 4 |
| 19 | Ensemble Usage for More Reliable Policy Identification in Reinforcement Learning | 2011 | 3 |
| 20 | 2021 | 3 |
About Steffen Udluft
Steffen Udluft is a scholar working on Artificial Intelligence, Control and Systems Engineering, Computational Theory and Mathematics, Statistical and Nonlinear Physics and Computational Mathematics, having authored 33 papers that have together received 362 indexed citations. Recurring topics across this work include Reinforcement Learning in Robotics (22 papers), Evolutionary Algorithms and Applications (6 papers), Neural Networks and Applications (6 papers), Fault Detection and Control Systems (5 papers), Advanced Control Systems Optimization (5 papers), Model Reduction and Neural Networks (4 papers), Adversarial Robustness in Machine Learning (3 papers) and Machine Learning and Algorithms (3 papers). The work is most often cited by research in Artificial Intelligence (253 citations), Computational Mathematics (4 citations), Control and Systems Engineering (89 citations), Computational Theory and Mathematics (42 citations) and Management Science and Operations Research (28 citations). Steffen Udluft has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Thomas A. Runkler, Alexander Hentschel, Hans-Georg Zimmermann, Stefan Depeweg, Finale Doshi‐Velez, José Miguel Hernández-Lobato, Anton Maximilian Schäfer, Thomas Martinetz, Michel Tokic and Felix Dietrich. Their work appears in journals such as Neurocomputing, Engineering Applications of Artificial Intelligence, IEEE Transactions on Nuclear Science, International Journal of Modern Physics C and IFAC-PapersOnLine.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.