2026 Sergey Levine: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	153	33	32	19	18	552	97923

Research.com Recognitions

2026 - Research.com Computer Science in United States Leader Award
2025 - Research.com Computer Science in United States Leader Award
2023 - Research.com Computer Science in United States Leader Award
2022 - Research.com Computer Science in United States Leader Award
2019 - Fellow of Alfred P. Sloan Foundation

Overview

Sergey Levine is affiliated with the University of California, Berkeley in the United States. Their primary field of study is Computer Science, with a significant focus on Artificial Intelligence. They have published extensively in this domain, contributing 595 publications overall, including subfields such as Computer Vision and Pattern Recognition, Control and Systems Engineering, Biomedical Engineering, and Management Science and Operations Research.

Their research topics encompass a variety of areas within machine learning and robotics. Key topics include Reinforcement Learning in Robotics, Domain Adaptation and Few-Shot Learning, Robot Manipulation and Learning, Multimodal Machine Learning Applications, Adversarial Robustness in Machine Learning, Machine Learning and Data Classification, and Machine Learning and Algorithms.

Frequent coauthors working with Sergey Levine include:

Chelsea Finn
Aviral Kumar
Benjamin Eysenbach
Karol Hausman
Pieter Abbeel

Common publication venues for Sergey Levine are as follows:

arXiv (Cornell University)
IEEE Robotics and Automation Letters
2022 International Conference on Robotics and Automation (ICRA)
The International Journal of Robotics Research
ACM Transactions on Graphics

The following recent papers represent a selection of Sergey Levine's work, indicating their ongoing interests and contributions:

Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems, 2020, arXiv (Cornell University)
Conservative Q-Learning for Offline Reinforcement Learning, 2020, arXiv (Cornell University)
Do As I Can, Not As I Say: Grounding Language in Robotic Affordances, 2022, arXiv (Cornell University)
How to train your robot with deep reinforcement learning: lessons we have learned, 2021, The International Journal of Robotics Research
PaLM-E: An Embodied Multimodal Language Model, 2023, arXiv (Cornell University)

Among recognitions, Sergey Levine received the Fellow of Alfred P. Sloan Foundation award in 2019.

Best Publications

Model-agnostic meta-learning for fast adaptation of deep networks

Chelsea Finn;Pieter Abbeel;Sergey Levine

7273
Citations
Trust Region Policy Optimization

John Schulman;Sergey Levine;Pieter Abbeel;Michael Jordan

5094
Citations
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor

Tuomas Haarnoja;Aurick Zhou;Pieter Abbeel;Sergey Levine

4270
Citations
End-to-end training of deep visuomotor policies

Sergey Levine;Chelsea Finn;Trevor Darrell;Pieter Abbeel

3239
Citations
Trust Region Policy Optimization

John Schulman;Sergey Levine;Philipp Moritz;Michael I. Jordan

2810
Citations
High-Dimensional Continuous Control Using Generalized Advantage Estimation

John Schulman;Philipp Moritz;Sergey Levine;Michael Jordan

2415
Citations
Learning Hand-Eye Coordination for Robotic Grasping with Deep Learning and Large-Scale Data Collection

Sergey Levine;Peter Pastor;Alex Krizhevsky;Julian Ibarz

2332
Citations
Soft Actor-Critic Algorithms and Applications

Tuomas Haarnoja;Aurick Zhou;Kristian Hartikainen;George Tucker

2170
Citations
Deep reinforcement learning for robotic manipulation with asynchronous off-policy updates

Shixiang Gu;Ethan Holly;Timothy Lillicrap;Sergey Levine

1637
Citations
QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation

Dmitry Kalashnikov;Alex Irpan;Peter Pastor;Julian Ibarz

1100
Citations
Recurrent Network Models for Human Dynamics

Katerina Fragkiadaki;Sergey Levine;Panna Felsen;Jitendra Malik

1018
Citations
Guided Policy Search

Sergey Levine;Vladlen Koltun

990
Citations
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems

Sergey Levine;Aviral Kumar;George Tucker;Justin Fu

965
Citations
Unsupervised Learning for Physical Interaction through Video Prediction

Chelsea Finn;Ian J. Goodfellow;Sergey Levine

934
Citations
Neural Network Dynamics for Model-Based Deep Reinforcement Learning with Model-Free Fine-Tuning

Anusha Nagabandi;Gregory Kahn;Ronald S. Fearing;Sergey Levine

905
Citations
Reinforcement learning with deep energy-based policies

Tuomas Haarnoja;Haoran Tang;Pieter Abbeel;Sergey Levine

903
Citations
Continuous deep Q-learning with model-based acceleration

Shixiang Gu;Timothy Lillicrap;Ilya Sutskever;Sergey Levine

889
Citations
DeepMimic: example-guided deep reinforcement learning of physics-based character skills

Xue Bin Peng;Pieter Abbeel;Sergey Levine;Michiel van de Panne

881
Citations
PaLM-E: An Embodied Multimodal Language Model

Unknown

844
Citations
Guided cost learning: deep inverse optimal control via policy optimization

Chelsea Finn;Sergey Levine;Pieter Abbeel

749
Citations
Learning Complex Dexterous Manipulation with Deep Reinforcement Learning and Demonstrations

Aravind Rajeswaran;Vikash Kumar;Abhishek Gupta;Giulia Vezzani

730
Citations
Conservative Q-Learning for Offline Reinforcement Learning

Aviral Kumar;Aurick Zhou;George Tucker;Sergey Levine

580
Citations
Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models

Kurtland Chua;Roberto Calandra;Rowan McAllister;Sergey Levine

560
Citations
D4RL: Datasets for Deep Data-Driven Reinforcement Learning

Justin Fu;Aviral Kumar;Ofir Nachum;George Tucker

403
Citations
Learning Hand-Eye Coordination for Robotic Grasping with Deep Learning and Large-Scale Data Collection

Sergey Levine;Peter Pastor;Alex Krizhevsky;Deirdre Quillen

324
Citations
Meta-World: A Benchmark and Evaluation for Multi-Task and Meta Reinforcement Learning

Tianhe Yu;Deirdre Quillen;Zhanpeng He;Ryan Julian

304
Citations

Frequent Co-Authors

Pieter Abbeel University of California, Berkeley

Chelsea Finn Stanford University

Shixiang Gu Google (United States)

Vikash Kumar University of Washington

Trevor Darrell University of California, Berkeley

Jitendra Malik University of California, Berkeley

George Tucker Google (United States)

Yoshua Bengio University of Montreal

Anca D. Dragan University of California, Berkeley

Timothy P. Lillicrap University College London

External Links

Personal website of Sergey Levine Google Scholar page

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