D-Index & Metrics Best Publications

Sergey Levine

University of California, Berkeley
United States

Computer Science

USA

2023

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Discipline name Citations Publications World Ranking National Ranking

Computer Science D-index 117 Citations 62,682 528 World Ranking 93 National Ranking 59

Research.com Recognitions

Awards & Achievements

2023 - Research.com Computer Science in United States Leader Award

2019 - Fellow of Alfred P. Sloan Foundation

Overview

What are the main themes of his work throughout his whole career to date

His Ecology research incorporates Habitat, Zoology and Identification (biology). He connects Habitat with Ecology in his study. His study on Zoology is mostly dedicated to connecting different topics, such as Scarabaeidae. In his papers, he integrates diverse fields, such as Larva and Scarabaeidae. By researching both Endocrinology and Hormone, Sergey Levine produces research that crosses academic boundaries. His study ties his expertise on Corticosterone together with the subject of Hormone. His Corticosterone study frequently involves adjacent topics like Endocrinology. Internal medicine is frequently linked to Avoidance learning in his study. His Avoidance learning study frequently draws connections between adjacent fields such as Internal medicine.

Sergey Levine most often published in these fields:

Habitat (50.00%)
Zoology (50.00%)
Larva (50.00%)

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

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

Chelsea Finn;Pieter Abbeel;Sergey Levine.
international conference on machine learning (2017)

4737 Citations

Trust Region Policy Optimization

John Schulman;Sergey Levine;Pieter Abbeel;Michael Jordan.
international conference on machine learning (2015)

4335 Citations

Trust Region Policy Optimization

John Schulman;Sergey Levine;Philipp Moritz;Michael I. Jordan.
arXiv: Learning (2015)

2780 Citations

End-to-end training of deep visuomotor policies

Sergey Levine;Chelsea Finn;Trevor Darrell;Pieter Abbeel.
Journal of Machine Learning Research (2016)

2467 Citations

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

Tuomas Haarnoja;Aurick Zhou;Pieter Abbeel;Sergey Levine.
international conference on machine learning (2018)

2203 Citations

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

Sergey Levine;Peter Pastor;Alex Krizhevsky;Julian Ibarz.
The International Journal of Robotics Research (2018)

1877 Citations

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

Shixiang Gu;Ethan Holly;Timothy Lillicrap;Sergey Levine.
international conference on robotics and automation (2017)

1096 Citations

High-Dimensional Continuous Control Using Generalized Advantage Estimation

John Schulman;Philipp Moritz;Sergey Levine;Michael Jordan.
arXiv: Learning (2015)

1071 Citations

Guided Policy Search

Sergey Levine;Vladlen Koltun.
international conference on machine learning (2013)

975 Citations

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

Dmitry Kalashnikov;Alex Irpan;Peter Pastor;Julian Ibarz.
Conference on Robot Learning (2018)

904 Citations

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Sergey Levine

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Research.com Recognitions

Awards & Achievements

Overview

What are the main themes of his work throughout his whole career to date

Sergey Levine most often published in these fields:

Best Publications

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