Tony Z. Zhao

According to our database, Tony Z. Zhao authored at least 12 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset.

Alexander Khazatsky, Karl Pertsch, Suraj Nair, Ashwin Balakrishna, Sudeep Dasari, Siddharth Karamcheti, Soroush Nasiriany, Mohan Kumar Srirama, Lawrence Yunliang Chen, Kirsty Ellis, Peter David Fagan, Joey Hejna, Masha Itkina, Marion Lepert, Yecheng Jason Ma, Patrick Tree Miller, Jimmy Wu, Suneel Belkhale, Shivin Dass, Huy Ha, Arhan Jain, Abraham Lee, Youngwoon Lee, Marius Memmel, Sungjae Park, Ilija Radosavovic, Kaiyuan Wang, Albert Zhan, Kevin Black, Cheng Chi, Kyle Beltran Hatch, Shan Lin, Jingpei Lu, Jean Mercat, Abdul Rehman, Pannag R. Sanketi, Archit Sharma, Cody Simpson, Quan Vuong, Homer Rich Walke, Blake Wulfe, Ted Xiao, Jonathan Heewon Yang, Arefeh Yavary, Tony Z. Zhao, Christopher Agia, Rohan Baijal, Mateo Guaman Castro, Daphne Chen, Qiuyu Chen, Trinity Chung, Jaimyn Drake, Ethan Paul Foster, et al.

CoRR, 2024

Yell At Your Robot: Improving On-the-Fly from Language Corrections.

Lucy Xiaoyang Shi, Zheyuan Hu, Tony Z. Zhao, Archit Sharma, Karl Pertsch, Jianlan Luo, Sergey Levine, Chelsea Finn

CoRR, 2024

Mobile ALOHA: Learning Bimanual Mobile Manipulation with Low-Cost Whole-Body Teleoperation.

Zipeng Fu, Tony Z. Zhao, Chelsea Finn

CoRR, 2024

2023

Learning Fine-Grained Bimanual Manipulation with Low-Cost Hardware.

Tony Z. Zhao, Vikash Kumar, Sergey Levine, Chelsea Finn

Proceedings of the Robotics: Science and Systems XIX, Daegu, 2023

BridgeData V2: A Dataset for Robot Learning at Scale.

Homer Rich Walke, Kevin Black, Tony Z. Zhao, Quan Vuong, Chongyi Zheng, Philippe Hansen-Estruch, Andre Wang He, Vivek Myers, Moo Jin Kim, Max Du, Abraham Lee, Kuan Fang, Chelsea Finn, Sergey Levine

Proceedings of the Conference on Robot Learning, 2023

Waypoint-Based Imitation Learning for Robotic Manipulation.

Lucy Xiaoyang Shi, Archit Sharma, Tony Z. Zhao, Chelsea Finn

Proceedings of the Conference on Robot Learning, 2023

2022

Offline Meta-Reinforcement Learning for Industrial Insertion.

Tony Z. Zhao, Jianlan Luo, Oleg Sushkov, Rugile Pevceviciute, Nicolas Heess, Jon Scholz, Stefan Schaal, Sergey Levine

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

2021

Calibrate Before Use: Improving Few-Shot Performance of Language Models.

Tony Z. Zhao, Eric Wallace, Shi Feng, Dan Klein, Sameer Singh

CoRR, 2021

Concealed Data Poisoning Attacks on NLP Models.

Eric Wallace, Tony Z. Zhao, Shi Feng, Sameer Singh

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Reset-Free Reinforcement Learning via Multi-Task Learning: Learning Dexterous Manipulation Behaviors without Human Intervention.

Abhishek Gupta, Justin Yu, Tony Z. Zhao, Vikash Kumar, Aaron Rovinsky, Kelvin Xu, Thomas Devlin, Sergey Levine

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

2020

MELD: Meta-Reinforcement Learning from Images via Latent State Models.

Tony Z. Zhao, Anusha Nagabandi, Kate Rakelly, Chelsea Finn, Sergey Levine

CoRR, 2020

Customizing Triggers with Concealed Data Poisoning.

Eric Wallace, Tony Z. Zhao, Shi Feng, Sameer Singh

CoRR, 2020