Scholar
Sergey Levine
Google Scholar ID: 8R35rCwAAAAJ
UC Berkeley, Physical Intelligence
Machine Learning
Robotics
Reinforcement Learning
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Citations & Impact
All-time
Citations
179,193
H-index
179
i10-index
558
Publications
20
Co-authors
184
list available
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Publications
92 items
Adapting Generalist Robot Policies with Semantic Reinforcement Learning
2026
Cited
0
Learning Process Rewards via Success Visitation Matching for Efficient RL
2026
Cited
0
VIMPO: Value-Implicit Policy Optimization for LLMs
2026
Cited
0
Reversal Q-Learning
2026
Cited
0
SC3-Eval: Evaluating Robot Foundation Models via Self-Consistent Video Generation
2026
Cited
0
Improving Robotic Generalist Policies via Flow Reversal Steering
2026
Cited
0
Test-Time Gradient Guidance of Flow Policies in Reinforcement Learning
2026
Cited
0
Measuring and Mitigating the Distributional Gap Between Real and Simulated User Behaviors
2026
Cited
0
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Resume (English only)
Academic Achievements
Developed end-to-end deep neural network policy training algorithms that integrate perception and control
Proposed scalable inverse reinforcement learning algorithms
Contributed key offline reinforcement learning algorithms including CQL, AWAC, and IQL
Co-developed the D4RL benchmark suite
Published influential work on real-world reinforcement learning at top venues such as NeurIPS
Delivered numerous invited talks on robotic learning, safe RL, and planning with RL
Co-authors
184 total
Chelsea Finn
Stanford University, Physical Intelligence
Pieter Abbeel
UC Berkeley | Covariant
Aviral Kumar
Carnegie Mellon University
Abhishek Gupta
University of Washington
Karol Hausman
Physical Intelligence, Stanford
Benjamin Eysenbach
Princeton University
Shixiang Shane Gu
Google DeepMind
George Tucker
Google DeepMind