Sergey Levine

Sergey Levine

University of California, Berkeley

H-index: 156

North America-United States

About Sergey Levine

Sergey Levine, With an exceptional h-index of 156 and a recent h-index of 149 (since 2020), a distinguished researcher at University of California, Berkeley, specializes in the field of Machine Learning, Robotics, Reinforcement Learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

ArCHer: Training Language Model Agents via Hierarchical Multi-Turn RL

Unfamiliar Finetuning Examples Control How Language Models Hallucinate

Learning Visuotactile Skills with Two Multifingered Hands

Multi-stage cable routing through hierarchical imitation learning

Reinforcement learning for versatile, dynamic, and robust bipedal locomotion control

Grounded Decoding: Guiding Text Generation with Grounded Models for Embodied Agents

Cal-ql: Calibrated offline rl pre-training for efficient online fine-tuning

Pushing the Limits of Cross-Embodiment Learning for Manipulation and Navigation

Sergey Levine Information

University

Position

Google

Citations(all)

121612

Citations(since 2020)

111488

Cited By

42036

hIndex(all)

156

hIndex(since 2020)

149

i10Index(all)

429

i10Index(since 2020)

427

Email

University Profile Page

University of California, Berkeley

Google Scholar

View Google Scholar Profile

Sergey Levine Skills & Research Interests

Machine Learning

Robotics

Reinforcement Learning

Top articles of Sergey Levine

Title

Journal

Author(s)

Publication Date

ArCHer: Training Language Model Agents via Hierarchical Multi-Turn RL

arXiv preprint arXiv:2402.19446

Yifei Zhou

Andrea Zanette

Jiayi Pan

Sergey Levine

Aviral Kumar

2024/2/29

Unfamiliar Finetuning Examples Control How Language Models Hallucinate

arXiv preprint arXiv:2403.05612

Katie Kang

Eric Wallace

Claire Tomlin

Aviral Kumar

Sergey Levine

2024/3/8

Learning Visuotactile Skills with Two Multifingered Hands

arXiv preprint arXiv:2404.16823

Toru Lin

Yu Zhang

Qiyang Li

Haozhi Qi

Brent Yi

...

2024/4/25

Multi-stage cable routing through hierarchical imitation learning

IEEE Transactions on Robotics

Jianlan Luo

Charles Xu

Xinyang Geng

Gilbert Feng

Kuan Fang

...

2024/1/11

Reinforcement learning for versatile, dynamic, and robust bipedal locomotion control

arXiv preprint arXiv:2401.16889

Zhongyu Li

Xue Bin Peng

Pieter Abbeel

Sergey Levine

Glen Berseth

...

2024/1/30

Grounded Decoding: Guiding Text Generation with Grounded Models for Embodied Agents

arXiv preprint arXiv:2303.00855

Wenlong Huang

Fei Xia

Dhruv Shah

Danny Driess

Andy Zeng

...

2023/3/1

Cal-ql: Calibrated offline rl pre-training for efficient online fine-tuning

Neural Information Processing Systems (NeurIPS)

Mitsuhiko Nakamoto

Yuexiang Zhai

Anikait Singh

Max Sobol Mark

Yi Ma

...

2023/3/9

Pushing the Limits of Cross-Embodiment Learning for Manipulation and Navigation

arXiv preprint arXiv:2402.19432

Jonathan Yang

Catherine Glossop

Arjun Bhorkar

Dhruv Shah

Quan Vuong

...

2024/2/29

Control policies for robotic agents

2023/12/26

Functional Graphical Models: Structure Enables Offline Data-Driven Optimization

arXiv preprint arXiv:2401.05442

Jakub Grudzien Kuba

Masatoshi Uehara

Pieter Abbeel

Sergey Levine

2024/1/8

ReDS: Offline RL With Heteroskedastic Datasets via Support Constraints

Advances in Neural Information Processing Systems

Anikait Singh

Aviral Kumar

Quan Vuong

Yevgen Chebotar

Sergey Levine

2024/2/13

Learning to influence human behavior with offline reinforcement learning

Advances in Neural Information Processing Systems

Joey Hong

Sergey Levine

Anca Dragan

2024/2/13

Serl: A software suite for sample-efficient robotic reinforcement learning

arXiv preprint arXiv:2401.16013

Jianlan Luo

Zheyuan Hu

Charles Xu

You Liang Tan

Jacob Berg

...

2024/1/29

Unsupervised Zero-Shot Reinforcement Learning via Functional Reward Encodings

arXiv preprint arXiv:2402.17135

Kevin Frans

Seohong Park

Pieter Abbeel

Sergey Levine

2024/2/27

Stop Regressing: Training Value Functions via Classification for Scalable Deep RL

arXiv preprint arXiv:2403.03950

Jesse Farebrother

Jordi Orbay

Quan Vuong

Adrien Ali Taïga

Yevgen Chebotar

...

2024/3/6

Mitigating reality gap through training a simulation-to-real model using a vision-based robot task model

2024/4/11

Accelerating exploration with unlabeled prior data

Advances in Neural Information Processing Systems

Qiyang Li

Jason Zhang

Dibya Ghosh

Amy Zhang

Sergey Levine

2024/2/13

Autort: Embodied foundation models for large scale orchestration of robotic agents

arXiv preprint arXiv:2401.12963

Michael Ahn

Debidatta Dwibedi

Chelsea Finn

Montse Gonzalez Arenas

Keerthana Gopalakrishnan

...

2024/1/23

Feedback Efficient Online Fine-Tuning of Diffusion Models

arXiv preprint arXiv:2402.16359

Masatoshi Uehara*

Yulai Zhao*

Kevin Black

Ehsan Hajiramezanali

Gabriele Scalia

...

2024/2/26

PIVOT: Iterative Visual Prompting Elicits Actionable Knowledge for VLMs

arXiv preprint arXiv:2402.07872

Soroush Nasiriany

Fei Xia

Wenhao Yu

Ted Xiao

Jacky Liang

...

2024/2/12

See List of Professors in Sergey Levine University(University of California, Berkeley)

Co-Authors

H-index: 161
Trevor Darrell

Trevor Darrell

University of California, Berkeley

H-index: 154
Pieter Abbeel

Pieter Abbeel

University of California, Berkeley

H-index: 78
Chelsea Finn

Chelsea Finn

Stanford University

H-index: 32
Abhishek Gupta

Abhishek Gupta

University of California, Berkeley

H-index: 28
Aviral Kumar

Aviral Kumar

University of California, Berkeley

H-index: 25
Xue Bin Peng

Xue Bin Peng

University of California, Berkeley

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