Avi Singh

Researcher, Google

Joined

November 2017

Names

Avi Singh (Preferred)

Emails

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

****@gmail.com (Confirmed)

****@google.com (Confirmed)

Personal Links

Homepage

Google Scholar

DBLP

Career & Education History

Researcher

Google (google.com)

2021 – Present

PhD student

University of California Berkeley (berkeley.edu)

2016 – 2021

Undergrad

IIT-Kanpur (iitk.ac.in)

2012 – 2016

Advisors, Relations & Conflicts

No relations added

Expertise

reinforcement learning

imitation learning

robotics

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
Many-Shot In-Context Learning
Rishabh Agarwal, Avi Singh, Lei M Zhang, Bernd Bohnet, Luis Rosias, Stephanie C.Y. Chan, Biao Zhang, Ankesh Anand, Zaheer Abbas, Azade Nova, John D Co-Reyes, Eric Chu, Feryal Behbahani, Aleksandra Faust, Hugo Larochelle
- LCFM 2024
- Readers: Everyone
Many-shot In-Context Learning
Rishabh Agarwal, Avi Singh, Lei M Zhang, Bernd Bohnet, Luis Rosias, Stephanie C.Y. Chan, Biao Zhang, Aleksandra Faust, Hugo Larochelle
- ICML 2024 Workshop ICL Poster
- Readers: Everyone
Many-Shot In-Context Learning
Rishabh Agarwal, Avi Singh, Lei M Zhang, Bernd Bohnet, Luis Rosias, Stephanie C.Y. Chan, Biao Zhang, Ankesh Anand, Zaheer Abbas, Azade Nova, John D Co-Reyes, Eric Chu, Feryal Behbahani, Aleksandra Faust, Hugo Larochelle
- NeurIPS 2024 spotlight
- Readers: Everyone
Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models
Avi Singh, John D Co-Reyes, Rishabh Agarwal
- DPFM 2024 Poster
- Readers: Everyone
Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models
Avi Singh, John D Co-Reyes, Rishabh Agarwal, Ankesh Anand, Piyush Patil, Xavier Garcia, Peter J Liu, James Harrison, Jaehoon Lee, Kelvin Xu, Aaron T Parisi, Abhishek Kumar, Alexander A Alemi, Alex Rizkowsky, Azade Nova, Ben Adlam, Bernd Bohnet, Gamaleldin Fathy Elsayed, Hanie Sedghi, Igor Mordatch et al. (20 additional authors not shown)
- Accepted by TMLR
- Readers: Everyone
Improving Large Language Model Fine-tuning for Solving Math Problems
Yixin Liu, Avi Singh, C. Daniel Freeman, John D Co-Reyes, Peter J Liu
- Submitted to ICLR 2024
- Readers: Everyone
Visual Backtracking Teleoperation: A Data Collection Protocol for Offline Image-Based RL
David Brandfonbrener, Stephen Tu, Avi Singh, Stefan Welker, Chad Boodoo, Nikolai Matni, Jake Varley
- 05 Oct 2022 (modified: 05 May 2023)
- Offline RL Workshop NeurIPS 2022
- Readers: Everyone
Don’t Start From Scratch: Leveraging Prior Data to Automate Robotic Reinforcement Learning
Homer Rich Walke, Jonathan Heewon Yang, Albert Yu, Aviral Kumar, Jędrzej Orbik, Avi Singh, Sergey Levine
- Published: 10 Sept 2022, Last Modified: 05 May 2023
- CoRL 2022 Poster
- Readers: Everyone
i-Sim2Real: Reinforcement Learning of Robotic Policies in Tight Human-Robot Interaction Loops
Saminda Wishwajith Abeyruwan, Laura Graesser, David B D'Ambrosio, Avi Singh, Anish Shankar, Alex Bewley, Deepali Jain, Krzysztof Marcin Choromanski, Pannag R Sanketi
- Published: 10 Sept 2022, Last Modified: 05 May 2023
- CoRL 2022 Oral
- Readers: Everyone

View all 25 publications

Co-Authors

View all 115 co-authors