Sergey Levine
Impact in
- Control and Systems Engineering top 0.05%
- Robot Manipulation and Learning
- Human Motion and Animation
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- Human Pose and Action Recognition
- Robotic Path Planning Algorithms
- Multimodal Machine Learning Applications
Papers in
-
- Reinforcement Learning in Robotics 105
- Adversarial Robustness in Machine Learning 28
- Domain Adaptation and Few-Shot Learning 26
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- Robot Manipulation and Learning 58
- Human Motion and Animation 19
- Co-authors
- Pieter Abbeel (41 shared papers)Chelsea Finn (49 shared papers)Vladlen Koltun (14 shared papers)Shixiang Gu (9 shared papers)Michael I. Jordan (2 shared papers)John Schulman (1 shared paper)Philipp Moritz (1 shared paper)Jitendra Malik (9 shared papers)
- Journals
- ACM Transactions on Graphics (11 papers)IEEE Robotics and Automation Letters (6 papers)The International Journal of Robotics Research (3 papers)Journal of Machine Learning Research (1 paper)Journal of NeuroEngineering and Rehabilitation (1 paper)
- Partner nations
- United StatesCanadaGermany
In The Last Decade
Sergey Levine
227 papers receiving 12.9k citations
Sergey Levine's Hit Papers
Peers
Comparison fields: 5 of 155
- Control and Systems Engineering 5.8k
- Computer Vision and Pattern Recognition 4.8k
- Artificial Intelligence 6.6k
- Human-Computer Interaction 465
- Automotive Engineering 866
Countries citing papers authored by Sergey Levine
This map shows the geographic impact of Sergey Levine'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 Sergey Levine with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sergey Levine more than expected).
Fields of papers citing papers by Sergey Levine
This network shows the impact of papers produced by Sergey Levine. 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 Sergey Levine. The network helps show where Sergey Levine may publish in the future.
Co-authors
The 25 scholars most cited alongside Sergey Levine, 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 233 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Trust Region Policy Optimization Hit paper breakdown → | 2015 | 1633 |
| 2 | Deep reinforcement learning for robotic manipulation with asynchronous off-policy updates Hit paper breakdown → | 2017 | 935 |
| 3 | End-to-end training of deep visuomotor policies Hit paper breakdown → | 2016 | 771 |
| 4 | Recurrent Network Models for Human Dynamics Hit paper breakdown → | 2015 | 592 |
| 5 | DeepMimic Hit paper breakdown → | 2018 | 484 |
| 6 | How to train your robot with deep reinforcement learning: lessons we have learned Hit paper breakdown → | 2021 | 354 |
| 7 | Time-Contrastive Networks: Self-Supervised Learning from Video Hit paper breakdown → | 2018 | 348 |
| 8 | Deep visual foresight for planning robot motion Hit paper breakdown → | 2017 | 337 |
| 9 | 2017 | 295 | |
| 10 | 2018 | 247 | |
| 11 | AMP Hit paper breakdown → | 2021 | 232 |
| 12 | Learning Fine-Grained Bimanual Manipulation with Low-Cost Hardware Hit paper breakdown → | 2023 | 228 |
| 13 | Guided Policy Search | 2013 | 214 |
| 14 | 2017 | 194 | |
| 15 | Learning Neural Network Policies with Guided Policy Search under Unknown Dynamics | 2014 | 188 |
| 16 | 2015 | 179 | |
| 17 | 2017 | 178 | |
| 18 | 2016 | 163 | |
| 19 | Nonlinear Inverse Reinforcement Learning with Gaussian Processes | 2011 | 155 |
| 20 | Learning to poke by poking: experiential learning of intuitive physics | 2016 | 138 |
About Sergey Levine
Sergey Levine is a scholar working on Artificial Intelligence, Control and Systems Engineering, Computer Vision and Pattern Recognition, Biomedical Engineering and Cognitive Neuroscience, having authored 233 papers that have together received 13.5k indexed citations. Recurring topics across this work include Reinforcement Learning in Robotics (105 papers), Robot Manipulation and Learning (58 papers), Human Pose and Action Recognition (33 papers), Adversarial Robustness in Machine Learning (28 papers), Domain Adaptation and Few-Shot Learning (26 papers), Multimodal Machine Learning Applications (20 papers), Human Motion and Animation (19 papers) and Robotic Path Planning Algorithms (13 papers). The work is most often cited by research in Control and Systems Engineering (5.8k citations), Computer Vision and Pattern Recognition (4.8k citations), Artificial Intelligence (6.6k citations), Human-Computer Interaction (465 citations) and Automotive Engineering (866 citations). Sergey Levine has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Pieter Abbeel, Chelsea Finn, Vladlen Koltun, Shixiang Gu, Michael I. Jordan, John Schulman, Philipp Moritz, Jitendra Malik, Timothy Lillicrap and Xue Bin Peng. Their work appears in journals such as ACM Transactions on Graphics, IEEE Robotics and Automation Letters, The International Journal of Robotics Research, Journal of Machine Learning Research and Journal of NeuroEngineering and Rehabilitation.
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.