Ronald Ortner
Impact in
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- Advanced Bandit Algorithms Research
- Auction Theory and Applications
- Artificial Intelligence top 5%
- Reinforcement Learning in Robotics
- Machine Learning and Algorithms
- Data Stream Mining Techniques
Papers in
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- Advanced Bandit Algorithms Research 20
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- Reinforcement Learning in Robotics 20
- Machine Learning and Algorithms 11
- Domain Adaptation and Few-Shot Learning 2
- Bayesian Modeling and Causal Inference 2
- Co-authors
- Peter Auer (12 shared papers)Csaba Szepesvári (1 shared paper)Daniil Ryabko (6 shared papers)Rémi Munos (2 shared papers)Wolfgang Woess (1 shared paper)Sandra Zilles (2 shared papers)Hans Ulrich Simon (2 shared papers)Christos Dimitrakakis (3 shared papers)
- Journals
- Minds and Machines (2 papers)Theoretical Computer Science (2 papers)Machine Learning (1 paper)Journal of Artificial Intelligence Research (1 paper)Journal of Machine Learning Research (1 paper)
- Partner nations
- AustriaFranceUnited States
In The Last Decade
Ronald Ortner
37 papers receiving 863 citations
Peers
Comparison fields: 5 of 75
- Management Science and Operations Research 528
- Artificial Intelligence 618
- Computer Networks and Communications 198
- Computational Theory and Mathematics 108
- General Decision Sciences 10
Countries citing papers authored by Ronald Ortner
This map shows the geographic impact of Ronald Ortner'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 Ronald Ortner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ronald Ortner more than expected).
Fields of papers citing papers by Ronald Ortner
This network shows the impact of papers produced by Ronald Ortner. 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 Ronald Ortner. The network helps show where Ronald Ortner may publish in the future.
Co-authors
The 24 scholars most cited alongside Ronald Ortner, 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 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Near-optimal Regret Bounds for Reinforcement Learning | 2010 | 231 |
| 2 | 2010 | 135 | |
| 3 | 2007 | 99 | |
| 4 | 2007 | 78 | |
| 5 | Near-optimal Regret Bounds for Reinforcement Learning | 2008 | 77 |
| 6 | 2004 | 57 | |
| 7 | 2007 | 25 | |
| 8 | 2012 | 24 | |
| 9 | 2007 | 20 | |
| 10 | Pareto front identification from stochastic bandit feedback | 2016 | 16 |
| 11 | 2014 | 16 | |
| 12 | 2012 | 14 | |
| 13 | Improved Regret Bounds for Undiscounted Continuous Reinforcement Learning | 2015 | 14 |
| 14 | 2016 | 12 | |
| 15 | Improved Learning Complexity in Combinatorial Pure Exploration Bandits | 2016 | 7 |
| 16 | 2010 | 7 | |
| 17 | 2020 | 7 | |
| 18 | 2006 | 7 | |
| 19 | Competing with an Infinite Set of Models in Reinforcement Learning | 2013 | 7 |
| 20 | 2014 | 6 |
About Ronald Ortner
Ronald Ortner is a scholar working on Management Science and Operations Research, Artificial Intelligence, Computer Networks and Communications, Computational Theory and Mathematics and Discrete Mathematics and Combinatorics, having authored 40 papers that have together received 903 indexed citations. Recurring topics across this work include Advanced Bandit Algorithms Research (20 papers), Reinforcement Learning in Robotics (20 papers), Machine Learning and Algorithms (11 papers), Optimization and Search Problems (6 papers), Smart Grid Energy Management (4 papers), Domain Adaptation and Few-Shot Learning (2 papers), Computational Geometry and Mesh Generation (2 papers) and Bayesian Modeling and Causal Inference (2 papers). The work is most often cited by research in Management Science and Operations Research (528 citations), Artificial Intelligence (618 citations), Computer Networks and Communications (198 citations), Computational Theory and Mathematics (108 citations) and General Decision Sciences (10 citations). Ronald Ortner has collaborated with scholars based in Austria, France and United States. Frequent co-authors include Peter Auer, Csaba Szepesvári, Daniil Ryabko, Rémi Munos, Wolfgang Woess, Sandra Zilles, Hans Ulrich Simon, Christos Dimitrakakis, Mădălina M. Drugan and Odalric-Ambrym Maillard. Their work appears in journals such as Minds and Machines, Theoretical Computer Science, Machine Learning, Journal of Artificial Intelligence Research and Journal of Machine Learning Research.
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.