Steffen Udluft
- Artificial Intelligence top 5%
- Control and Systems Engineering top 10%
- Electrical and Electronic Engineering
- Computational Theory and Mathematics top 10%
- Management Science and Operations Research
- Co-authors
- Thomas A. RunklerAlexander HentschelHans-Georg ZimmermannStefan DepewegFinale Doshi‐VelezJosé Miguel Hernández-LobatoAnton Maximilian SchäferThomas Martinetz
- Topics
- Reinforcement Learning in Robotics (22 papers)Neural Networks and Applications (6 papers)Evolutionary Algorithms and Applications (6 papers)
- Journals
- NeurocomputingIEEE Transactions on Nuclear ScienceEngineering Applications of Artificial Intelligence
- Partner nations
- GermanyUnited KingdomCambodia
In The Last Decade
Steffen Udluft
30 papers receiving 339 citations
Peers
Comparison fields: 5 of 70
- Artificial Intelligence 251
- Control and Systems Engineering 89
- Electrical and Electronic Engineering 44
- 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-authorship network of co-authors of Steffen Udluft
This figure shows the co-authorship network connecting the top 25 collaborators of Steffen Udluft. A scholar is included among the top collaborators of Steffen Udluft based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Steffen Udluft. Steffen Udluft is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 17 | |
| 4 | 2 | |
| 5 | 3 | |
| 6 | 6 | |
| 7 | Sensitivity analysis for predictive uncertainty. | 1 |
| 8 | 9 | |
| 9 | Decomposition of Uncertainty for Active Learning and Reliable Reinforcement Learning in Stochastic Systems. | 10 |
| 10 | 42 | |
| 11 | 5 | |
| 12 | Ensemble Usage for More Reliable Policy Identification in Reinforcement Learning | 2 |
| 13 | 2 | |
| 14 | The Markov Decision Process Extraction Network | 4 |
| 15 | Safe exploration for reinforcement learning. | 38 |
| 16 | 3 | |
| 17 | 37 | |
| 18 | 4 | |
| 19 | Neural Rewards Regression for Near-optimal Policy Identification in Markovian and Partial Observable Environments | 6 |
| 20 | 21 |
About Steffen Udluft
Steffen Udluft is a scholar working on Computational Mathematics, Artificial Intelligence and Software, having authored 33 papers that have together received 357 indexed citations. Recurring topics across this work include Reinforcement Learning in Robotics (22 papers), Neural Networks and Applications (6 papers) and Evolutionary Algorithms and Applications (6 papers). The work is most often cited by research in Artificial Intelligence (251 citations), Computational Mathematics (4 citations) and Control and Systems Engineering (89 citations). Steffen Udluft has collaborated with scholars based in Germany, United Kingdom and Cambodia. 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, IEEE Transactions on Nuclear Science and Engineering Applications of Artificial Intelligence.
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.