Sotabase

Career

· Co-founder, Physical Intelligence2024–
· Associate Professor, UC Berkeley2016–
· Research Scientist (part time), Google2015–
· Post-Doctoral Researcher, UC Berkeley2014–2016
· PhD in Computer Science, Stanford University2009–2014
· Research Assistant, Stanford University2007–2014
· B.S./M.S., Computer Science, Stanford University2005–2009

Publications (742)

Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
International Conference on Machine Learning · 2017
13,689
cited
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor
International Conference on Machine Learning · 2018
10,308
cited
Trust Region Policy Optimization
International Conference on Machine Learning · 2015
7,583
cited
High-Dimensional Continuous Control Using Generalized Advantage Estimation
International Conference on Learning Representations · 2015
4,104
cited
End-to-End Training of Deep Visuomotor Policies
Journal of machine learning research · 2015
3,656
cited
Soft Actor-Critic Algorithms and Applications
arXiv.org · 2018
2,917
cited
Do As I Can, Not As I Say: Grounding Language in Robotic Affordances
Conference on Robot Learning · 2022
2,663
cited
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems
arXiv.org · 2020
2,396
cited
PaLM-E: An Embodied Multimodal Language Model
International Conference on Machine Learning · 2023
2,284
cited
RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control
Conference on Robot Learning · 2023
2,268
cited
Conservative Q-Learning for Offline Reinforcement Learning
Neural Information Processing Systems · 2020
2,259
cited
Learning hand-eye coordination for robotic grasping with deep learning and large-scale data collection
Int. J. Robotics Res. · 2016
2,162
cited
RT-1: Robotics Transformer for Real-World Control at Scale
Robotics: Science and Systems · 2022
1,786
cited
WILDS: A Benchmark of in-the-Wild Distribution Shifts
International Conference on Machine Learning · 2020
1,674
cited
D4RL: Datasets for Deep Data-Driven Reinforcement Learning
arXiv.org · 2020
1,639
cited
QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation
Conference on Robot Learning · 2018
1,638
cited
Gradient Surgery for Multi-Task Learning
Neural Information Processing Systems · 2020
1,564
cited
Deep reinforcement learning for robotic manipulation with asynchronous off-policy updates
IEEE International Conference on Robotics and Automation · 2016
1,555
cited
Reinforcement Learning with Deep Energy-Based Policies
International Conference on Machine Learning · 2017
1,507
cited
OpenVLA: An Open-Source Vision-Language-Action Model
Conference on Robot Learning · 2024
1,478
cited
Sotabase
Sergey Levine | Researcher Profile | Sotabase | Sotabase