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  1. Home
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  3. Sergey Levine
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Sergey Levine

Sergey Levine

Associate Professor / University of California, Berkeley / Co-founder / Physical Intelligence

CountryUnited States
EducationStanford University
Known ForMachine Learning, Robotics, Reinforcement Learning, Deep Learning
Twitter116.9K
LinkedIn3.2K
Artificial IntelligenceEngineeringNeurology
Google Scholar Citations
217,002
Twitter Followers
116.9K
LinkedIn Followers
3.2K
Twitter Engagement Rate
0.4%
Search More

About Sergey Levine

Sergey Levine is an Associate Professor at the University of California, Berkeley, and a co-founder of Physical Intelligence. His research focuses on machine learning for decision-making and control, with a strong emphasis on deep learning and reinforcement learning algorithms. He develops general-purpose methods that enable autonomous agents to acquire complex behaviors through learning, particularly in the fields of robotics and AI.

Career

University of California, Berkeley
University of California, Berkeley

Associate Professor

Jul 2021 - Present
Position

Associate Professor

University of California, Berkeley
University of California, Berkeley

Assistant Professor

Aug 2016 - Jul 2021
Position

Assistant Professor

Education

Stanford University
Stanford University
2005 - 2014
Education

N/A

Skills

Core technical and professional competencies in the fields of AI, Robotics, and Machine Learning research.

Technical & Research Skills

Reinforcement Learning (RL)

Deep Learning

Machine Learning for Control

Vision-Language Models (VLAs)

Autonomous Agents

Algorithm Development

Domain Expertise

Robotics

AI for Decision Making

Physical Intelligence

Computer Vision

Scalable Algorithms

Professional & Leadership

Academic Research

Team Leadership

Curriculum Development

Startup Co-founding

Strategic Direction

Domains

Primary

Artificial Intelligence, Robotics, Machine Learning, Computer Science Research

Secondary

Higher Education, Deep Learning Applications, Autonomous Systems

Tags

Personality

Pioneering, Academic, Data-Driven, Innovative, Educator

Focus

AI for Good, Autonomous Control, Research Excellence, Open Source (OpenPI)

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