Jan Leike
Impact in
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- Software Testing and Debugging Techniques
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- Reinforcement Learning in Robotics
- Topic Modeling
- Logic, programming, and type systems
- Natural Language Processing Techniques
- Machine Learning and Algorithms
Papers in
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- Machine Learning and Algorithms 4
- Reinforcement Learning in Robotics 4
- Evolutionary Algorithms and Applications 3
- Natural Language Processing Techniques 1
- Logic, programming, and type systems 1
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- Computability, Logic, AI Algorithms 3
- Co-authors
- Marcus Hütter (6 shared papers)Matthias Heizmann (2 shared papers)Dzmitry Bahdanau (3 shared papers)Edward Grefenstette (3 shared papers)Edward Hughes (3 shared papers)Felix Hill (3 shared papers)Pushmeet Kohli (3 shared papers)Andreas Podelski (1 shared paper)
- Journals
- Logical Methods in Computer Science (1 paper)Theoretical Computer Science (1 paper)ANU Open Research (Australian National University) (4 papers)International Conference on Learning Representations (1 paper)arXiv (Cornell University) (3 papers)
- Partner nations
- AustraliaCanadaUnited Kingdom
In The Last Decade
Jan Leike
9 papers receiving 42 citations
Peers
Comparison fields: 5 of 19
- Software 8
- Artificial Intelligence 36
- Computational Theory and Mathematics 15
- Computer Vision and Pattern Recognition 14
- General Decision Sciences 1
Countries citing papers authored by Jan Leike
This map shows the geographic impact of Jan Leike'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 Jan Leike with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jan Leike more than expected).
Fields of papers citing papers by Jan Leike
This network shows the impact of papers produced by Jan Leike. 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 Jan Leike. The network helps show where Jan Leike may publish in the future.
Co-authors
The 12 scholars most cited alongside Jan Leike, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 16 | |
| 2 | 2015 | 8 | |
| 3 | Bad Universal Priors and Notions of Optimality | 2015 | 4 |
| 4 | Learning to Follow Language Instructions with Adversarial Reward Induction | 2018 | 4 |
| 5 | 2015 | 3 | |
| 6 | 2017 | 3 | |
| 7 | 2017 | 3 | |
| 8 | Jointly Learning "What" and "How" from Instructions and Goal-States. | 2018 | 2 |
| 9 | 2015 | 1 | |
| 10 | 2017 | 0 | |
| 11 | Thompson sampling is asymptotically optimal in general environments | 2016 | 0 |
About Jan Leike
Jan Leike is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Management Science and Operations Research, Computer Vision and Pattern Recognition and Control and Systems Engineering, having authored 11 papers that have together received 44 indexed citations. Recurring topics across this work include Machine Learning and Algorithms (4 papers), Reinforcement Learning in Robotics (4 papers), Evolutionary Algorithms and Applications (3 papers), Computability, Logic, AI Algorithms (3 papers), Multimodal Machine Learning Applications (2 papers), Advanced Bandit Algorithms Research (2 papers), Natural Language Processing Techniques (1 paper) and Logic, programming, and type systems (1 paper). The work is most often cited by research in Software (8 citations), Artificial Intelligence (36 citations), Computational Theory and Mathematics (15 citations), Computer Vision and Pattern Recognition (14 citations) and General Decision Sciences (1 citation). Jan Leike has collaborated with scholars based in Australia, Canada and United Kingdom. Frequent co-authors include Marcus Hütter, Matthias Heizmann, Dzmitry Bahdanau, Edward Grefenstette, Edward Hughes, Felix Hill, Pushmeet Kohli, Andreas Podelski, Tor Lattimore and Laurent Orseau. Their work appears in journals such as Logical Methods in Computer Science, Theoretical Computer Science, ANU Open Research (Australian National University), International Conference on Learning Representations and arXiv (Cornell University).
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.