Yonathan Efroni
Impact in
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- Advanced Bandit Algorithms Research
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- Reinforcement Learning in Robotics
- Evolutionary Algorithms and Applications
- Adversarial Robustness in Machine Learning
- Machine Learning and Algorithms
Papers in
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- Reinforcement Learning in Robotics 6
- Adversarial Robustness in Machine Learning 2
- Evolutionary Algorithms and Applications 1
- Machine Learning and Algorithms 1
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- Advanced Bandit Algorithms Research 4
- Auction Theory and Applications 2
- Co-authors
- Shie Mannor (9 shared papers)Lior Shani (4 shared papers)Bruno Scherrer (2 shared papers)Chen Tessler (1 shared paper)Gal Dalal (2 shared papers)Shahal Ilani (1 shared paper)Erez Berg (1 shared paper)Mohammad Ghavamzadeh (1 shared paper)
- Journals
- Physical Review Letters (1 paper)International Conference on Machine Learning (1 paper)Neural Information Processing Systems (1 paper)Proceedings of the AAAI Conference on Artificial Intelligence (1 paper)arXiv (Cornell University) (3 papers)
- Partner nations
- IsraelFranceUnited States
In The Last Decade
Yonathan Efroni
10 papers receiving 76 citations
Peers
Comparison fields: 5 of 31
- Management Science and Operations Research 26
- Artificial Intelligence 61
- Computational Theory and Mathematics 11
- Control and Systems Engineering 10
- Computer Vision and Pattern Recognition 8
Countries citing papers authored by Yonathan Efroni
This map shows the geographic impact of Yonathan Efroni'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 Yonathan Efroni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yonathan Efroni more than expected).
Fields of papers citing papers by Yonathan Efroni
This network shows the impact of papers produced by Yonathan Efroni. 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 Yonathan Efroni. The network helps show where Yonathan Efroni may publish in the future.
Co-authors
The 8 scholars most cited alongside Yonathan Efroni, 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 | 2020 | 38 | |
| 2 | Action Robust Reinforcement Learning and Applications in Continuous Control | 2019 | 9 |
| 3 | 2021 | 9 | |
| 4 | 2017 | 7 | |
| 5 | 2019 | 5 | |
| 6 | Multiple-Step Greedy Policies in Approximate and Online Reinforcement Learning | 2018 | 5 |
| 7 | 2018 | 3 | |
| 8 | Optimistic Policy Optimization with Bandit Feedback | 2020 | 3 |
| 9 | Multi-Step Greedy and Approximate Real Time Dynamic Programming | 2019 | 2 |
| 10 | Revisiting Exploration-Conscious Reinforcement Learning. | 2018 | 1 |
About Yonathan Efroni
Yonathan Efroni is a scholar working on Artificial Intelligence, Management Science and Operations Research, Atomic and Molecular Physics, and Optics, Computational Theory and Mathematics and Materials Chemistry, having authored 10 papers that have together received 82 indexed citations. Recurring topics across this work include Reinforcement Learning in Robotics (6 papers), Advanced Bandit Algorithms Research (4 papers), Auction Theory and Applications (2 papers), Adversarial Robustness in Machine Learning (2 papers), Evolutionary Algorithms and Applications (1 paper), Machine Learning and Algorithms (1 paper), Topological Materials and Phenomena (1 paper) and Graphene research and applications (1 paper). The work is most often cited by research in Management Science and Operations Research (26 citations), Artificial Intelligence (61 citations), Computational Theory and Mathematics (11 citations), Control and Systems Engineering (10 citations) and Computer Vision and Pattern Recognition (8 citations). Yonathan Efroni has collaborated with scholars based in Israel, France and United States. Frequent co-authors include Shie Mannor, Lior Shani, Bruno Scherrer, Chen Tessler, Gal Dalal, Shahal Ilani, Erez Berg and Mohammad Ghavamzadeh. Their work appears in journals such as Physical Review Letters, International Conference on Machine Learning, Neural Information Processing Systems, Proceedings of the AAAI Conference on Artificial Intelligence 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.