Yonathan Efroni
Impact in
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- Reinforcement Learning in Robotics
- Adversarial Robustness in Machine Learning
- Evolutionary Algorithms and Applications
- Stochastic Gradient Optimization Techniques
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- Advanced Bandit Algorithms Research
Papers in
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- Advanced Bandit Algorithms Research 6
- Game Theory and Applications 1
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- Reinforcement Learning in Robotics 8
- Evolutionary Algorithms and Applications 2
- Adversarial Robustness in Machine Learning 1
- Machine Learning and Algorithms 1
- Co-authors
- Shie Mannor (10 shared papers)Lior Shani (2 shared papers)Chen Tessler (1 shared paper)Shahal Ilani (1 shared paper)Erez Berg (1 shared paper)Gal Dalal (4 shared papers)Bruno Scherrer (4 shared papers)Constantine Caramanis (1 shared paper)
- Journals
- Physical Review Letters (1 paper)Neural Information Processing Systems (1 paper)Proceedings of the AAAI Conference on Artificial Intelligence (3 papers)HAL (Le Centre pour la Communication Scientifique Directe) (2 papers)AAAI Publications (The Association for the Advancement of Artificial Intelligence (AAAI)) (2 papers)
- Partner nations
- IsraelFranceUnited States
In The Last Decade
Yonathan Efroni
8 papers receiving 92 citations
Peers
Comparison fields: 5 of 34
- Artificial Intelligence 67
- Management Science and Operations Research 23
- Computational Theory and Mathematics 15
- Control and Systems Engineering 12
- Automotive Engineering 5
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 | 44 | |
| 2 | Action Robust Reinforcement Learning and Applications in Continuous Control | 2019 | 13 |
| 3 | 2021 | 11 | |
| 4 | 2017 | 8 | |
| 5 | 2020 | 7 | |
| 6 | 2019 | 5 | |
| 7 | Multiple-Step Greedy Policies in Approximate and Online Reinforcement Learning | 2018 | 4 |
| 8 | 2021 | 2 | |
| 9 | Multiple-step greedy policies in online and approximate reinforcement learning | 2018 | 0 |
| 10 | 2024 | 0 | |
| 11 | Beyond the one-step greedy approach in reinforcement learning | 2018 | 0 |
About Yonathan Efroni
Yonathan Efroni is a scholar working on Management Science and Operations Research, Artificial Intelligence, Computational Theory and Mathematics, Computer Networks and Communications and Atomic and Molecular Physics, and Optics, having authored 11 papers that have together received 94 indexed citations. Recurring topics across this work include Reinforcement Learning in Robotics (8 papers), Advanced Bandit Algorithms Research (6 papers), Evolutionary Algorithms and Applications (2 papers), Optimization and Search Problems (1 paper), Adversarial Robustness in Machine Learning (1 paper), Machine Learning and Algorithms (1 paper), Game Theory and Applications (1 paper) and Formal Methods in Verification (1 paper). The work is most often cited by research in Artificial Intelligence (67 citations), Management Science and Operations Research (23 citations), Computational Theory and Mathematics (15 citations), Control and Systems Engineering (12 citations) and Automotive Engineering (5 citations). Yonathan Efroni has collaborated with scholars based in Israel, France and United States. Frequent co-authors include Shie Mannor, Lior Shani, Chen Tessler, Shahal Ilani, Erez Berg, Gal Dalal, Bruno Scherrer and Constantine Caramanis. Their work appears in journals such as Physical Review Letters, Neural Information Processing Systems, Proceedings of the AAAI Conference on Artificial Intelligence, HAL (Le Centre pour la Communication Scientifique Directe) and AAAI Publications (The Association for the Advancement of Artificial Intelligence (AAAI)).
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.