Gaoyue Zhou

PhD student, New York University

Joined

September 2020

Names

Gaoyue Zhou (Preferred)

Emails

****@berkeley.edu (Confirmed)

****@andrew.cmu.edu (Confirmed)

****@nyu.edu (Confirmed)

Personal Links

Homepage

Google Scholar

Career & Education History

PhD student

New York University (nyu.edu)

2023 – 2028

MS student

Carnegie Mellon University (cmu.edu)

2021 – 2023

Undergrad student

University of California Berkeley (berkeley.edu)

2017 – 2021

Advisors, Relations & Conflicts

PhD Advisor

Lerrel Pinto

2023 – Present

PhD Advisor

Yann LeCun

2023 – Present

Expertise

world models

Present

robotics

Present

planning

Present

reinforcement learning

Present

Publications

DINO-WM: World Models on Pre-trained Visual Features enable Zero-shot Planning
Gaoyue Zhou, Hengkai Pan, Yann LeCun, Lerrel Pinto
- ICML 2025 poster
- Readers: Everyone
DINO-WM: World Models on Pre-trained Visual Features enable Zero-shot Planning
Gaoyue Zhou, Hengkai Pan, Yann LeCun, Lerrel Pinto
- Submitted to ICLR 2025
- 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
RoboHive: A Unified Framework for Robot Learning
Vikash Kumar, Rutav Shah, Gaoyue Zhou, Vincent Moens, Vittorio Caggiano, Abhishek Gupta, Aravind Rajeswaran
- NeurIPS 2023 Datasets and Benchmarks Poster
- Readers: Everyone
Team-PSRO for Learning Approximate TMECor in Large Team Games via Cooperative Reinforcement Learning
Stephen Marcus McAleer, Gabriele Farina, Gaoyue Zhou, Mingzhi Wang, Yaodong Yang, Tuomas Sandholm
- NeurIPS 2023 poster
- Readers: Everyone
Train Offline, Test Online: A Real Robot Learning Benchmark
Gaoyue Zhou, Victoria Dean, Mohan Kumar Srirama, Aravind Rajeswaran, Jyothish Pari, Kyle Beltran Hatch, Aryan Jain, Tianhe Yu, Pieter Abbeel, Lerrel Pinto, Chelsea Finn, Abhinav Gupta
- Published: 17 Nov 2022, Last Modified: 15 Jan 2026
- PRL 2022 Poster
- Readers: Everyone
Train Offline, Test Online: A Real Robot Learning Benchmark
Gaoyue Zhou, Victoria Dean, Mohan Kumar Srirama, Aravind Rajeswaran, Jyothish Pari, Kyle Beltran Hatch, Aryan Jain, Tianhe Yu, Pieter Abbeel, Lerrel Pinto, Chelsea Finn, Abhinav Gupta
- Published: 24 Oct 2022, Last Modified: 04 May 2025
- WBRC 2022 Oral
- Readers: Everyone
Train Offline, Test Online: A Real Robot Learning Benchmark
Gaoyue Zhou, Victoria Dean, Mohan Kumar Srirama, Aravind Rajeswaran, Jyothish Pari, Kyle Beltran Hatch, Aryan Jain, Tianhe Yu, Pieter Abbeel, Lerrel Pinto, Chelsea Finn, Abhinav Gupta
- 08 Oct 2022 (modified: 08 Feb 2026)
- Deep RL Workshop 2022
- Readers: Everyone
Real World Offline Reinforcement Learning with Realistic Data Source
Gaoyue Zhou, Liyiming Ke, Siddhartha Srinivasa, Abhinav Gupta, Aravind Rajeswaran, Vikash Kumar
- 08 Oct 2022 (modified: 05 May 2023)
- Deep RL Workshop 2022
- Readers: Everyone

View all 14 publications

Co-Authors

View all 197 co-authors