George Tucker

Research Scientist, Google Brain

Joined

November 2016

Names

George Tucker (Preferred)

Emails

****@google.com (Confirmed)

****@gmail.com (Confirmed)

Personal Links

Homepage

Google Scholar

DBLP

Career & Education History

Research Scientist

Google Brain (google.com)

2016 – Present

Research Scientist

Amazon (amazon.com)

2014 – 2016

Postdoc

Harvard University (harvard.edu)

2014 – 2014

PhD student

Massachusetts Institute of Technology (mit.edu)

2008 – 2014

Undergrad student

Harvey Mudd College (hmc.edu)

2004 – 2008

Advisors, Relations & Conflicts

PhD Advisor

Bonnie Berger

2010 – 2014

Expertise

reinforcement learning

2018 – Present

variational inference

2016 – Present

Publications

Training Language Models to Self-Correct via Reinforcement Learning
Aviral Kumar, Vincent Zhuang, Rishabh Agarwal, Yi Su, John D Co-Reyes, Avi Singh, Kate Baumli, Shariq Iqbal, Colton Bishop, Rebecca Roelofs, Lei M Zhang, Kay McKinney, Disha Shrivastava, Cosmin Paduraru, George Tucker, Doina Precup, Feryal Behbahani, Aleksandra Faust
- ICLR 2025 Oral
- Readers: Everyone
Scaling Offline Q-Learning with Vision Transformers
Yingjie Miao, Jordi Orbay, Rishabh Agarwal, Aviral Kumar, George Tucker, Aleksandra Faust
- FMDM@NeurIPS2023
- Readers: Everyone
Guided Evolution with Binary Discriminators for ML Program Search
John D Co-Reyes, Yingjie Miao, George Tucker, Aleksandra Faust, Esteban Real
- Submitted to ICLR 2024
- Readers: Everyone
Guided Evolution with Binary Predictors for ML Program Search
John D Co-Reyes, Yingjie Miao, George Tucker, Aleksandra Faust, Esteban Real
- SODS 2023 Poster
- Readers: Everyone
Imitation Is Not Enough: Robustifying Imitation with Reinforcement Learning for Challenging Driving Scenarios
Yiren Lu, Justin Fu, George Tucker, Xinlei Pan, Eli Bronstein, Rebecca Roelofs, Benjamin Sapp, Brandyn White, Aleksandra Faust, Shimon Whiteson, Dragomir Anguelov, Sergey Levine
- 25 May 2023
- OpenReview Archive Direct Upload
- Readers: Everyone
Waymax: An Accelerated, Data-Driven Simulator for Large-Scale Autonomous Driving Research
Cole Gulino, Justin Fu, Wenjie Luo, George Tucker, Eli Bronstein, Yiren Lu, Jean Harb, Xinlei Pan, Yan Wang, Xiangyu Chen, John D Co-Reyes, Rishabh Agarwal, Rebecca Roelofs, Yao Lu, Nico Montali, Paul Mougin, Zoey Zeyu Yang, Brandyn White, Aleksandra Faust, Rowan Thomas McAllister et al. (2 additional authors not shown)
- NeurIPS 2023 Datasets and Benchmarks Poster
- Readers: Everyone
Offline Q-learning on Diverse Multi-Task Data Both Scales And Generalizes
Aviral Kumar, Rishabh Agarwal, Xinyang Geng, George Tucker, Sergey Levine
- 08 Oct 2022 (modified: 05 May 2023)
- Deep RL Workshop 2022
- Readers: Everyone
Offline Q-learning on Diverse Multi-Task Data Both Scales And Generalizes
Aviral Kumar, Rishabh Agarwal, Xinyang Geng, George Tucker, Sergey Levine
- 05 Oct 2022 (modified: 05 May 2023)
- FMDM@NeurIPS2022
- Readers: Everyone
Offline Q-learning on Diverse Multi-Task Data Both Scales And Generalizes
Aviral Kumar, Rishabh Agarwal, Xinyang Geng, George Tucker, Sergey Levine
- Published: 01 Feb 2023, Last Modified: 01 Mar 2023
- ICLR 2023 notable top 5%
- Readers: Everyone
Oracle Inequalities for Model Selection in Offline Reinforcement Learning
Jonathan Lee, George Tucker, Ofir Nachum, Bo Dai, Emma Brunskill
- Published: 31 Oct 2022, Last Modified: 13 Jan 2023
- NeurIPS 2022 Accept
- Readers: Everyone

View all 95 publications

Co-Authors

View all 164 co-authors