Sergey Levine
Impact in
- Control and Systems Engineering top 0.1%
- 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 104
- Adversarial Robustness in Machine Learning 28
- Domain Adaptation and Few-Shot Learning 25
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- Robot Manipulation and Learning 57
- Human Motion and Animation 19
- Co-authors
- Pieter Abbeel (41 shared papers)Chelsea Finn (49 shared papers)Vladlen Koltun (14 shared papers)Michael I. Jordan (2 shared papers)Shixiang Gu (9 shared papers)Philipp Moritz (1 shared paper)John Schulman (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)IEEE Transactions on Robotics (1 paper)
- Partner nations
- United StatesCanadaGermany
In The Last Decade
Sergey Levine
222 papers receiving 11.9k citations
Sergey Levine's Hit Papers
Peers
Comparison fields: 5 of 154
- Control and Systems Engineering 5.4k
- Computer Vision and Pattern Recognition 4.4k
- Artificial Intelligence 6.1k
- Human-Computer Interaction 405
- Automotive Engineering 812
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 228 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Trust Region Policy Optimization Hit paper breakdown → | 2015 | 1592 |
| 2 | Deep reinforcement learning for robotic manipulation with asynchronous off-policy updates Hit paper breakdown → | 2017 | 850 |
| 3 | End-to-end training of deep visuomotor policies Hit paper breakdown → | 2016 | 703 |
| 4 | Recurrent Network Models for Human Dynamics Hit paper breakdown → | 2015 | 522 |
| 5 | DeepMimic Hit paper breakdown → | 2018 | 472 |
| 6 | How to train your robot with deep reinforcement learning: lessons we have learned Hit paper breakdown → | 2021 | 338 |
| 7 | Deep visual foresight for planning robot motion Hit paper breakdown → | 2017 | 316 |
| 8 | Time-Contrastive Networks: Self-Supervised Learning from Video Hit paper breakdown → | 2018 | 312 |
| 9 | 2017 | 266 | |
| 10 | 2018 | 239 | |
| 11 | AMP Hit paper breakdown → | 2021 | 220 |
| 12 | Learning Fine-Grained Bimanual Manipulation with Low-Cost Hardware Hit paper breakdown → | 2023 | 218 |
| 13 | Guided Policy Search | 2013 | 193 |
| 14 | 2017 | 191 | |
| 15 | Learning Neural Network Policies with Guided Policy Search under Unknown Dynamics | 2014 | 175 |
| 16 | 2015 | 171 | |
| 17 | 2016 | 155 | |
| 18 | Nonlinear Inverse Reinforcement Learning with Gaussian Processes | 2011 | 147 |
| 19 | Learning to poke by poking: experiential learning of intuitive physics | 2016 | 132 |
| 20 | 2012 | 124 |
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 228 papers that have together received 12.5k indexed citations. Recurring topics across this work include Reinforcement Learning in Robotics (104 papers), Robot Manipulation and Learning (57 papers), Human Pose and Action Recognition (33 papers), Adversarial Robustness in Machine Learning (28 papers), Domain Adaptation and Few-Shot Learning (25 papers), Human Motion and Animation (19 papers), Multimodal Machine Learning Applications (19 papers) and Robotic Path Planning Algorithms (13 papers). The work is most often cited by research in Control and Systems Engineering (5.4k citations), Computer Vision and Pattern Recognition (4.4k citations), Artificial Intelligence (6.1k citations), Human-Computer Interaction (405 citations) and Automotive Engineering (812 citations). Sergey Levine has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Pieter Abbeel, Chelsea Finn, Vladlen Koltun, Michael I. Jordan, Shixiang Gu, Philipp Moritz, John Schulman, 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 IEEE Transactions on Robotics.
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.