Tianhe Yu

Research Scientist, Google Brain

Joined

November 2017

Names

Tianhe Yu

Emails

****@berkeley.edu (Confirmed)

****@cs.stanford.edu (Confirmed)

****@gmail.com (Confirmed)

****@stanford.edu (Confirmed)

****@google.com (Confirmed)

Personal Links

Homepage

DBLP

Career & Education History

Research Scientist

Google Brain (google.com)

2022 – Present

PhD student

Stanford University (stanford.edu)

2018 – 2022

Undergrad student

University of California Berkeley (berkeley.edu)

2014 – 2018

Advisors, Relations & Conflicts

No relations added

Expertise

No areas of expertise listed

Publications

Meta-World+: An Improved, Standardized, RL Benchmark
Reginald McLean, Evangelos Chatzaroulas, Luc McCutcheon, Frank Röder, Tianhe Yu, Zhanpeng He, K.R. Zentner, Ryan Julian, J K Terry, Isaac Woungang, Nariman Farsad, Pablo Samuel Castro
- CODEML@ICML25 Spotlight
- Readers: Everyone
Meta-World+: An Improved, Standardized, RL Benchmark
Reginald McLean, Evangelos Chatzaroulas, Luc McCutcheon, Frank Röder, Tianhe Yu, Zhanpeng He, K.R. Zentner, Ryan Julian, J K Terry, Isaac Woungang, Nariman Farsad, Pablo Samuel Castro
- NeurIPS 2025 Datasets and Benchmarks Track poster
- Readers: Everyone
RRM: Robust Reward Model Training Mitigates Reward Hacking
Tianqi Liu, Wei Xiong, Jie Ren, Lichang Chen, Junru Wu, Rishabh Joshi, Yang Gao, Jiaming Shen, Zhen Qin, Tianhe Yu, Daniel Sohn, Anastasia Makarova, Jeremiah Zhe Liu, Yuan Liu, Bilal Piot, Abe Ittycheriah, Aviral Kumar, Mohammad Saleh
- ICLR 2025 Poster
- Readers: Everyone
RT-Sketch: Goal-Conditioned Imitation Learning from Hand-Drawn Sketches
Priya Sundaresan, Quan Vuong, Jiayuan Gu, Peng Xu, Ted Xiao, Sean Kirmani, Tianhe Yu, Michael Stark, Ajinkya Jain, Karol Hausman, Dorsa Sadigh, Jeannette Bohg, Stefan Schaal
- DGR@RSS2024 Poster
- Readers: Everyone
What Makes Pre-Trained Visual Representations Successful for Robust Manipulation?
Kaylee Burns, Zach Witzel, Jubayer Ibn Hamid, Tianhe Yu, Chelsea Finn, Karol Hausman
- CoRL 2024
- Readers: Everyone
RT-Sketch: Goal-Conditioned Imitation Learning from Hand-Drawn Sketches
Priya Sundaresan, Quan Vuong, Jiayuan Gu, Peng Xu, Ted Xiao, Sean Kirmani, Tianhe Yu, Michael Stark, Ajinkya Jain, Karol Hausman, Dorsa Sadigh, Jeannette Bohg, Stefan Schaal
- CoRL 2024
- Readers: Everyone
Open X-Embodiment: Robotic Learning Datasets and RT-X Models
Quan Vuong, Sergey Levine, Homer Rich Walke, Karl Pertsch, Anikait Singh, Ria Doshi, Charles Xu, Jianlan Luo, Liam Tan, Dhruv Shah, Chelsea Finn, Max Du, Moo Jin Kim, Alexander Khazatsky, Jonathan Heewon Yang, Tony Z. Zhao, Ken Goldberg, Ryan Hoque, Lawrence Yunliang Chen, Simeon Adebola et al. (154 additional authors not shown)
- LangRob @ CoRL 2023 Poster
- Readers: Everyone
Open X-Embodiment: Robotic Learning Datasets and RT-X Models
Quan Vuong, Sergey Levine, Homer Rich Walke, Karl Pertsch, Anikait Singh, Ria Doshi, Charles Xu, Jianlan Luo, Liam Tan, Dhruv Shah, Chelsea Finn, Max Du, Moo Jin Kim, Alexander Khazatsky, Jonathan Heewon Yang, Tony Z. Zhao, Ken Goldberg, Ryan Hoque, Lawrence Yunliang Chen, Simeon Adebola et al. (154 additional authors not shown)
- CoRL 2023 Workshop TGR Oral
- Readers: Everyone
RT-Sketch: Goal-Conditioned Imitation Learning from Hand-Drawn Sketches
Priya Sundaresan, Quan Vuong, Jiayuan Gu, Peng Xu, Ted Xiao, Sean Kirmani, Tianhe Yu, Michael Stark, Ajinkya Jain, Karol Hausman, Dorsa Sadigh, Jeannette Bohg, Stefan Schaal
- Submitted to ICLR 2024
- Readers: Everyone
Video Language Planning
Yilun Du, Sherry Yang, Pete Florence, Fei Xia, Ayzaan Wahid, brian ichter, Pierre Sermanet, Tianhe Yu, Pieter Abbeel, Joshua B. Tenenbaum, Leslie Pack Kaelbling, Andy Zeng, Jonathan Tompson
- ICLR 2024 poster
- Readers: Everyone

View all 69 publications

Co-Authors

View all 286 co-authors