Sotabase

Career

· Bachelor's degree, University of California, Berkeley2014–2018
· Research Intern, Google
· Research Scientist, Google
· Research Intern, Google Brain
· AI Research Scientist, Meta
· PhD in Computer Science, Stanford University
· PhD Student, Stanford University
· Research Assistant, Stanford University

Publications (83)

Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context
arXiv.org · 2024
3,137
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
RT-1: Robotics Transformer for Real-World Control at Scale
Robotics: Science and Systems · 2022
1,789
cited
Gradient Surgery for Multi-Task Learning
Neural Information Processing Systems · 2020
1,564
cited
Meta-World: A Benchmark and Evaluation for Multi-Task and Meta Reinforcement Learning
Conference on Robot Learning · 2019
1,460
cited
MOPO: Model-based Offline Policy Optimization
Neural Information Processing Systems · 2020
872
cited
Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration0
IEEE International Conference on Robotics and Automation · 2023
785
cited
Real-time user-guided image colorization with learned deep priors
ACM Transactions on Graphics · 2017
618
cited
One-Shot Visual Imitation Learning via Meta-Learning
Conference on Robot Learning · 2017
606
cited
COMBO: Conservative Offline Model-Based Policy Optimization
Neural Information Processing Systems · 2021
486
cited
One-Shot Imitation from Observing Humans via Domain-Adaptive Meta-Learning
Robotics: Science and Systems · 2018
379
cited
Efficiently Identifying Task Groupings for Multi-Task Learning
Neural Information Processing Systems · 2021
296
cited
Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration
IEEE International Conference on Robotics and Automation · 2024
282
cited
Scaling Robot Learning with Semantically Imagined Experience
Robotics: Science and Systems · 2023
206
cited
Video Language Planning
International Conference on Learning Representations · 2023
146
cited
Offline Reinforcement Learning from Images with Latent Space Models
Conference on Learning for Dynamics & Control · 2020
142
cited
Multi-task Learning
Transfer Learning · 2020
132
cited
Q-Transformer: Scalable Offline Reinforcement Learning via Autoregressive Q-Functions
Conference on Robot Learning · 2023
127
cited
Conservative Data Sharing for Multi-Task Offline Reinforcement Learning
Neural Information Processing Systems · 2021
87
cited
Sotabase
Tianhe Yu | Researcher Profile | Sotabase | Sotabase