Roberta Răileanu
Impact in
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- Artificial Intelligence in Healthcare and Education
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- Reinforcement Learning in Robotics
- Topic Modeling
- Natural Language Processing Techniques
- Adversarial Robustness in Machine Learning
- Evolutionary Algorithms and Applications
- Explainable Artificial Intelligence (XAI)
Papers in
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- Reinforcement Learning in Robotics 6
- Artificial Intelligence in Games 1
- Adversarial Robustness in Machine Learning 1
- Machine Learning in Healthcare 1
- Data Stream Mining Techniques 1
- Machine Learning and Data Classification 1
- Co-authors
- Mojtaba Komeili (1 shared paper)Jing Xu (1 shared paper)Xian Li (1 shared paper)Aslı Çelikyılmaz (1 shared paper)Jason Weston (2 shared papers)Shehzaad Dhuliawala (1 shared paper)Tim Rocktäschel (4 shared papers)Ilya Kostrikov (1 shared paper)
- Journals
- International Conference on Machine Learning (1 paper)UCL Discovery (University College London) (2 papers)PubMed (1 paper)arXiv (Cornell University) (2 papers)
- Partner nations
- United StatesIsraelSwitzerland
In The Last Decade
Roberta Răileanu
10 papers receiving 135 citations
Roberta Răileanu's Hit Papers
Peers
Comparison fields: 5 of 51
- Health Informatics 9
- Artificial Intelligence 80
- Computer Vision and Pattern Recognition 22
- Software 4
- Family Practice 1
Countries citing papers authored by Roberta Răileanu
This map shows the geographic impact of Roberta Răileanu'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 Roberta Răileanu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roberta Răileanu more than expected).
Fields of papers citing papers by Roberta Răileanu
This network shows the impact of papers produced by Roberta Răileanu. 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 Roberta Răileanu. The network helps show where Roberta Răileanu may publish in the future.
Co-authors
The 25 scholars most cited alongside Roberta Răileanu, 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 | Chain-of-Verification Reduces Hallucination in Large Language Models Hit paper breakdown → | 2024 | 84 |
| 2 | Automatic Data Augmentation for Generalization in Reinforcement Learning | 2021 | 20 |
| 3 | 2020 | 18 | |
| 4 | 2024 | 4 | |
| 5 | 2024 | 2 | |
| 6 | The NetHack Learning Environment | 2020 | 2 |
| 7 | Fast Adaptation to New Environments via Policy-Dynamics Value Functions | 2020 | 2 |
| 8 | 2024 | 2 | |
| 9 | Learning with AMIGo: Adversarially Motivated Intrinsic Goals | 2021 | 1 |
| 10 | Results of thymectomy in myastenia gravis. | 1987 | 1 |
| 11 | 2023 | 0 |
About Roberta Răileanu
Roberta Răileanu is a scholar working on Artificial Intelligence, Management Science and Operations Research, Neurology, Control and Systems Engineering and Information Systems, having authored 11 papers that have together received 136 indexed citations. Recurring topics across this work include Reinforcement Learning in Robotics (6 papers), Artificial Intelligence in Games (1 paper), Adversarial Robustness in Machine Learning (1 paper), Human Motion and Animation (1 paper), Machine Learning in Healthcare (1 paper), Data Stream Mining Techniques (1 paper), Machine Learning and Data Classification (1 paper) and Adaptive Dynamic Programming Control (1 paper). The work is most often cited by research in Health Informatics (9 citations), Artificial Intelligence (80 citations), Computer Vision and Pattern Recognition (22 citations), Software (4 citations) and Family Practice (1 citation). Roberta Răileanu has collaborated with scholars based in United States, Israel and Switzerland. Frequent co-authors include Mojtaba Komeili, Jing Xu, Xian Li, Aslı Çelikyılmaz, Jason Weston, Shehzaad Dhuliawala, Tim Rocktäschel, Ilya Kostrikov, Denis Yarats and Rob Fergus. Their work appears in journals such as International Conference on Machine Learning, UCL Discovery (University College London), PubMed 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.