Tim Brys
Impact in
- Artificial Intelligence top 5%
- Reinforcement Learning in Robotics
- Evolutionary Algorithms and Applications
- Metaheuristic Optimization Algorithms Research
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- Advanced Multi-Objective Optimization Algorithms
Papers in
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- Reinforcement Learning in Robotics 16
- Evolutionary Algorithms and Applications 7
- Metaheuristic Optimization Algorithms Research 6
- Logic, Reasoning, and Knowledge 3
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- Advanced Multi-Objective Optimization Algorithms 9
- Advanced Algebra and Logic 3
- Co-authors
- Ann Nowé (21 shared papers)Matthew Edmund Taylor (11 shared papers)Anna Harutyunyan (7 shared papers)Sonia Chernova (2 shared papers)Halit Bener Suay (2 shared papers)Peter Vrancx (5 shared papers)Daniel Kudenko⋆ (4 shared papers)Kristof Van Moffaert (4 shared papers)
- Journals
- The Knowledge Engineering Review (1 paper)Neurocomputing (1 paper)Connection Science (1 paper)Lecture notes in computer science (1 paper)Frontiers in artificial intelligence and applications (2 papers)
- Partner nations
- BelgiumUnited StatesNetherlands
In The Last Decade
Tim Brys
30 papers receiving 478 citations
Peers
Comparison fields: 5 of 53
- Artificial Intelligence 346
- Computational Theory and Mathematics 112
- Control and Systems Engineering 148
- Management Science and Operations Research 57
- Transportation 30
Countries citing papers authored by Tim Brys
This map shows the geographic impact of Tim Brys'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 Tim Brys with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tim Brys more than expected).
Fields of papers citing papers by Tim Brys
This network shows the impact of papers produced by Tim Brys. 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 Tim Brys. The network helps show where Tim Brys may publish in the future.
Co-authors
The 22 scholars most cited alongside Tim Brys, 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Reinforcement learning from demonstration through shaping | 2015 | 91 |
| 2 | 2014 | 47 | |
| 3 | 2014 | 45 | |
| 4 | 2016 | 35 | |
| 5 | 2015 | 32 | |
| 6 | 2017 | 30 | |
| 7 | 2014 | 26 | |
| 8 | 2014 | 25 | |
| 9 | 2014 | 22 | |
| 10 | 2016 | 21 | |
| 11 | 2018 | 21 | |
| 12 | 2014 | 15 | |
| 13 | 2013 | 12 | |
| 14 | Learning Coordinated Traffic Light Control | 2013 | 11 |
| 15 | 2015 | 7 | |
| 16 | Dimensionality Reduced Reinforcement Learning for Assistive Robots. | 2016 | 7 |
| 17 | 2012 | 7 | |
| 18 | 2013 | 6 | |
| 19 | 2015 | 5 | |
| 20 | 2015 | 5 |
About Tim Brys
Tim Brys is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Control and Systems Engineering, Management Science and Operations Research and Transportation, having authored 30 papers that have together received 490 indexed citations. Recurring topics across this work include Reinforcement Learning in Robotics (16 papers), Advanced Multi-Objective Optimization Algorithms (9 papers), Evolutionary Algorithms and Applications (7 papers), Metaheuristic Optimization Algorithms Research (6 papers), Robot Manipulation and Learning (5 papers), Logic, Reasoning, and Knowledge (3 papers), Advanced Algebra and Logic (3 papers) and Modular Robots and Swarm Intelligence (2 papers). The work is most often cited by research in Artificial Intelligence (346 citations), Computational Theory and Mathematics (112 citations), Control and Systems Engineering (148 citations), Management Science and Operations Research (57 citations) and Transportation (30 citations). Tim Brys has collaborated with scholars based in Belgium, United States and Netherlands. Frequent co-authors include Ann Nowé, Matthew Edmund Taylor, Anna Harutyunyan, Sonia Chernova, Halit Bener Suay, Peter Vrancx, Daniel Kudenko⋆, Kristof Van Moffaert, Arjun Chandra and Mark H. M. Winands. Their work appears in journals such as The Knowledge Engineering Review, Neurocomputing, Connection Science, Lecture notes in computer science and Frontiers in artificial intelligence and applications.
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.