Avi Singh

According to our database, Avi Singh authored at least 25 papers between 2016 and 2024.

Collaborative distances:

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

2024

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, Isabelle Simpson, Izzeddin Gur, Jasper Snoek, Jeffrey Pennington, Jiri Hron, Kathleen Kenealy, Kevin Swersky, Kshiteej Mahajan, Laura Culp, Lechao Xiao, Maxwell L. Bileschi, Noah Constant, Roman Novak, Rosanne Liu, Tris Warkentin, Yundi Qian, Yamini Bansal, Ethan Dyer, Behnam Neyshabur, Jascha Sohl-Dickstein, Noah Fiedel

Trans. Mach. Learn. Res., 2024

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 M. P. Behbahani, Aleksandra Faust

CoRR, 2024

Many-Shot In-Context Learning.

Rishabh Agarwal, Avi Singh, Lei M. Zhang, Bernd Bohnet, Stephanie Chan, Ankesh Anand, Zaheer Abbas, Azade Nova, John D. Co-Reyes, Eric Chu, Feryal M. P. Behbahani, Aleksandra Faust, Hugo Larochelle

CoRR, 2024

2023

Improving Large Language Model Fine-tuning for Solving Math Problems.

Yixin Liu, Avi Singh, C. Daniel Freeman, John D. Co-Reyes, Peter J. Liu

CoRR, 2023

Robotic Table Tennis: A Case Study into a High Speed Learning System.

David B. D'Ambrosio, Jonathan Abelian, Saminda Abeyruwan, Michael Ahn, Alex Bewley, Justin Boyd, Krzysztof Choromanski, Omar Cortes, Erwin Coumans, Tianli Ding, Wenbo Gao, Laura Graesser, Atil Iscen, Navdeep Jaitly, Deepali Jain, Juhana Kangaspunta, Satoshi Kataoka, Gus Kouretas, Yuheng Kuang, Nevena Lazic, Corey Lynch, Reza Mahjourian, Sherry Q. Moore, Thinh Nguyen, Ken Oslund, Barney J. Reed, Krista Reymann, Pannag R. Sanketi, Anish Shankar, Pierre Sermanet, Vikas Sindhwani, Avi Singh, Vincent Vanhoucke, Grace Vesom, Peng Xu

CoRR, 2023

Robotic Table Tennis: A Case Study into a High Speed Learning System.

David B. D'Ambrosio, Navdeep Jaitly, Vikas Sindhwani, Ken Oslund, Peng Xu, Nevena Lazic, Anish Shankar, Tianli Ding, Jonathan Abelian, Erwin Coumans, Gus Kouretas, Thinh Nguyen, Justin Boyd, Atil Iscen, Reza Mahjourian, Vincent Vanhoucke, Alex Bewley, Yuheng Kuang, Michael Ahn, Deepali Jain, Satoshi Kataoka, Omar E. Cortes, Pierre Sermanet, Corey Lynch, Pannag R. Sanketi, Krzysztof Choromanski, Wenbo Gao, Juhana Kangaspunta, Krista Reymann, Grace Vesom, Sherry Q. Moore, Avi Singh, Saminda Wishwajith Abeyruwan, Laura Graesser

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

Visual Backtracking Teleoperation: A Data Collection Protocol for Offline Image-Based Reinforcement Learning.

David Brandfonbrener, Stephen Tu, Avi Singh, Stefan Welker, Chad Boodoo, Nikolai Matni, Jake Varley

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

2022

Don't Start From Scratch: Leveraging Prior Data to Automate Robotic Reinforcement Learning.

Homer Walke, Jonathan Yang, Albert Yu, Aviral Kumar, Jedrzej Orbik, Avi Singh, Sergey Levine

Proceedings of the Conference on Robot Learning, 2022

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

Proceedings of the Conference on Robot Learning, 2022

2021

Real World Robot Learning: Learned Rewards, Offline Datasets and Skill Re-Use

Avi Singh

PhD thesis, 2021

Parrot: Data-Driven Behavioral Priors for Reinforcement Learning.

Avi Singh, Huihan Liu, Gaoyue Zhou, Albert Yu, Nicholas Rhinehart, Sergey Levine

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

COG: Connecting New Skills to Past Experience with Offline Reinforcement Learning.

Avi Singh, Albert Yu, Jonathan Yang, Jesse Zhang, Aviral Kumar, Sergey Levine

CoRR, 2020

Scalable Multi-Task Imitation Learning with Autonomous Improvement.

Avi Singh, Eric Jang, Alexander Irpan, Daniel Kappler, Murtaza Dalal, Sergey Levine, Mohi Khansari, Chelsea Finn

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

The Ingredients of Real World Robotic Reinforcement Learning.

Henry Zhu, Justin Yu, Abhishek Gupta, Dhruv Shah, Kristian Hartikainen, Avi Singh, Vikash Kumar, Sergey Levine

Proceedings of the 8th International Conference on Learning Representations, 2020

Chaining Behaviors from Data with Model-Free Reinforcement Learning.

Avi Singh, Albert Yu, Jonathan Yang, Jesse Zhang, Aviral Kumar, Sergey Levine

Proceedings of the 4th Conference on Robot Learning, 2020

2019

Visual Dialog.

Abhishek Das, Satwik Kottur, Khushi Gupta, Avi Singh, Deshraj Yadav, Stefan Lee, José M. F. Moura, Devi Parikh, Dhruv Batra

IEEE Trans. Pattern Anal. Mach. Intell., 2019

End-to-End Robotic Reinforcement Learning without Reward Engineering.

Avi Singh, Larry Yang, Kristian Hartikainen, Chelsea Finn, Sergey Levine

CoRR, 2019

End-To-End Robotic Reinforcement Learning without Reward Engineering.

Avi Singh, Larry Yang, Chelsea Finn, Sergey Levine

Proceedings of the Robotics: Science and Systems XV, 2019

2018

Variational Inverse Control with Events: A General Framework for Data-Driven Reward Definition.

Justin Fu, Avi Singh, Dibya Ghosh, Larry Yang, Sergey Levine

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Divide-and-Conquer Reinforcement Learning.

Dibya Ghosh, Avi Singh, Aravind Rajeswaran, Vikash Kumar, Sergey Levine

Proceedings of the 6th International Conference on Learning Representations, 2018

Few-Shot Goal Inference for Visuomotor Learning and Planning.

Annie Xie, Avi Singh, Sergey Levine, Chelsea Finn

Proceedings of the 2nd Annual Conference on Robot Learning, 2018

2017

GPLAC: Generalizing Vision-Based Robotic Skills Using Weakly Labeled Images.

Avi Singh, Larry Yang, Sergey Levine

Proceedings of the IEEE International Conference on Computer Vision, 2017

Visual Dialog.

Abhishek Das, Satwik Kottur, Khushi Gupta, Avi Singh, Deshraj Yadav, José M. F. Moura, Devi Parikh, Dhruv Batra

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016

Brain4Cars: Car That Knows Before You Do via Sensory-Fusion Deep Learning Architecture.

Ashesh Jain, Hema Swetha Koppula, Shane Soh, Bharad Raghavan, Avi Singh, Ashutosh Saxena

CoRR, 2016

Recurrent Neural Networks for driver activity anticipation via sensory-fusion architecture.

Ashesh Jain, Avi Singh, Hema Swetha Koppula, Shane Soh, Ashutosh Saxena

Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016