Sotabase

Career

· Co-founder, Physical Intelligence2024–
· Assistant Professor of Computer Science and Electrical Engineering, Stanford University2019–
· Research Scientist, Google2018–2024
· Research Intern, Google Brain2016–2016
· PhD in Computer Science, University of California, Berkeley2014–2018
· B.S. in Electrical Engineering and Computer Science, Massachusetts Institute of Technology2010–2014

Publications (0)

Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
International Conference on Machine Learning · 2017
13,689
cited
Direct Preference Optimization: Your Language Model is Secretly a Reward Model
Neural Information Processing Systems · 2023
7,064
cited
On the Opportunities and Risks of Foundation Models
arXiv.org · 2021
5,795
cited
End-to-End Training of Deep Visuomotor Policies
Journal of machine learning research · 2015
3,656
cited
Do As I Can, Not As I Say: Grounding Language in Robotic Affordances
Conference on Robot Learning · 2022
2,665
cited
RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control
Conference on Robot Learning · 2023
2,268
cited
RT-1: Robotics Transformer for Real-World Control at Scale
Robotics: Science and Systems · 2022
1,789
cited
WILDS: A Benchmark of in-the-Wild Distribution Shifts
International Conference on Machine Learning · 2020
1,674
cited
Gradient Surgery for Multi-Task Learning
Neural Information Processing Systems · 2020
1,564
cited
OpenVLA: An Open-Source Vision-Language-Action Model
Conference on Robot Learning · 2024
1,478
cited
Meta-World: A Benchmark and Evaluation for Multi-Task and Meta Reinforcement Learning
Conference on Robot Learning · 2019
1,460
cited
Learning Fine-Grained Bimanual Manipulation with Low-Cost Hardware
Robotics: Science and Systems · 2023
1,235
cited
Unsupervised Learning for Physical Interaction through Video Prediction
Neural Information Processing Systems · 2016
1,091
cited
π0: A Vision-Language-Action Flow Model for General Robot Control
arXiv.org · 2024
1,025
cited
Guided Cost Learning: Deep Inverse Optimal Control via Policy Optimization
International Conference on Machine Learning · 2016
1,020
cited
Model-Based Reinforcement Learning for Atari
International Conference on Learning Representations · 2019
952
cited
Meta-Learning with Implicit Gradients
Neural Information Processing Systems · 2019
947
cited
Octo: An Open-Source Generalist Robot Policy
Robotics: Science and Systems · 2024
928
cited
DetectGPT: Zero-Shot Machine-Generated Text Detection using Probability Curvature
International Conference on Machine Learning · 2023
879
cited
MOPO: Model-based Offline Policy Optimization
Neural Information Processing Systems · 2020
872
cited
Sotabase