Felix Leibfried
- Artificial Intelligence
- Cognitive Neuroscience
- Computer Vision and Pattern Recognition
- Control and Systems Engineering
- Management Science and Operations Research
- Co-authors
- Jordi Grau-MoyaDaniel A. BraunTim GeneweinAlexandra BrintrupTim PearcePeter VrancxKatja HofmannNate Kushman
- Topics
- Neural dynamics and brain function (4 papers)Neural Networks and Applications (2 papers)Embodied and Extended Cognition (2 papers)
- Partner nations
- GermanyUnited KingdomBelgium
In The Last Decade
Felix Leibfried
9 papers receiving 130 citations
Peers
Comparison fields: 5 of 59
- Artificial Intelligence 66
- Cognitive Neuroscience 48
- Computer Vision and Pattern Recognition 19
- Control and Systems Engineering 13
- Management Science and Operations Research 12
Countries citing papers authored by Felix Leibfried
This map shows the geographic impact of Felix Leibfried'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 Felix Leibfried with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Felix Leibfried more than expected).
Fields of papers citing papers by Felix Leibfried
This network shows the impact of papers produced by Felix Leibfried. 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 Felix Leibfried. The network helps show where Felix Leibfried may publish in the future.
Co-authorship network of co-authors of Felix Leibfried
This figure shows the co-authorship network connecting the top 25 collaborators of Felix Leibfried. A scholar is included among the top collaborators of Felix Leibfried 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 Felix Leibfried. Felix Leibfried is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | A Unified Bellman Optimality Principle Combining Reward Maximization and Empowerment | 1 |
| 2 | 30 | |
| 3 | Soft Q-Learning with Mutual-Information Regularization | 11 |
| 4 | 3 | |
| 5 | Bounded rational decision-making in feedforward neural networks | 2 |
| 6 | A Deep Learning Approach for Joint Video Frame and Reward Prediction in Atari Games | 10 |
| 7 | 60 | |
| 8 | 11 | |
| 9 | 5 |
About Felix Leibfried
Felix Leibfried is a scholar working on Cognitive Neuroscience, Artificial Intelligence and Control and Systems Engineering, having authored 9 papers that have together received 133 indexed citations. Recurring topics across this work include Neural dynamics and brain function (4 papers), Neural Networks and Applications (2 papers) and Embodied and Extended Cognition (2 papers). The work is most often cited by research in Cognitive Neuroscience (48 citations), General Decision Sciences (4 citations) and Artificial Intelligence (66 citations). Felix Leibfried has collaborated with scholars based in Germany, United Kingdom and Belgium. Frequent co-authors include Jordi Grau-Moya, Daniel A. Braun, Tim Genewein, Alexandra Brintrup, Tim Pearce, Peter Vrancx, Katja Hofmann, Nate Kushman and Zhen Peng. Their work appears in journals such as Cognition, Neural Computation and Frontiers in Robotics and AI.
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.