Avi Singh

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 35

Top Topics

Temporal Difference

Perceptual Aliasing

Eligibility Traces

Reinforcement Learning

Top Venues

Publications

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
Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models. Trans. Mach. Learn. Res. 2024 (2024)
Rishabh Agarwal, Avi Singh, Lei M. Zhang, Bernd Bohnet, Stephanie C. Y. Chan, Ankesh Anand, Zaheer Abbas, Azade Nova, John D. Co-Reyes, Eric Chu, Feryal M. P. Behbahani, Aleksandra Faust, Hugo Larochelle
Many-Shot In-Context Learning. CoRR (2024)
Yixin Liu, Avi Singh, C. Daniel Freeman, John D. Co-Reyes, Peter J. Liu
Improving Large Language Model Fine-tuning for Solving Math Problems. CoRR (2023)
Avi Singh, John D. Co-Reyes, Rishabh Agarwal, Ankesh Anand, Piyush Patil, Xavier Garcia, Peter J. Liu, James Harrison, Jaehoon Lee, Kelvin Xu, Aaron Parisi, Abhishek Kumar, Alex Alemi, Alex Rizkowsky, Azade Nova, Ben Adlam, Bernd Bohnet, Gamaleldin F. 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
Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models. CoRR (2023)
David Brandfonbrener, Stephen Tu, Avi Singh, Stefan Welker, Chad Boodoo, Nikolai Matni, Jake Varley
Visual Backtracking Teleoperation: A Data Collection Protocol for Offline Image-Based Reinforcement Learning. ICRA (2023)
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
Robotic Table Tennis: A Case Study into a High Speed Learning System. CoRR (2023)
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
Robotic Table Tennis: A Case Study into a High Speed Learning System. Robotics: Science and Systems (2023)
Homer Walke, Jonathan Yang, Albert Yu, Aviral Kumar, Jedrzej Orbik, Avi Singh, Sergey Levine
Don't Start From Scratch: Leveraging Prior Data to Automate Robotic Reinforcement Learning. CoRR (2022)
David Brandfonbrener, Stephen Tu, Avi Singh, Stefan Welker, Chad Boodoo, Nikolai Matni, Jake Varley
Visual Backtracking Teleoperation: A Data Collection Protocol for Offline Image-Based Reinforcement Learning. CoRR (2022)
Saminda Abeyruwan, Laura Graesser, David B. D'Ambrosio, Avi Singh, Anish Shankar, Alex Bewley, Pannag R. Sanketi
i-Sim2Real: Reinforcement Learning of Robotic Policies in Tight Human-Robot Interaction Loops. CoRR (2022)
Homer Walke, Jonathan Yang, Albert Yu, Aviral Kumar, Jedrzej Orbik, Avi Singh, Sergey Levine
Don't Start From Scratch: Leveraging Prior Data to Automate Robotic Reinforcement Learning. CoRL (2022)
Saminda Wishwajith Abeyruwan, Laura Graesser, David B. D'Ambrosio, Avi Singh, Anish Shankar, Alex Bewley, Deepali Jain, Krzysztof Marcin Choromanski, Pannag R. Sanketi
i-Sim2Real: Reinforcement Learning of Robotic Policies in Tight Human-Robot Interaction Loops. CoRL (2022)
Avi Singh, Huihan Liu, Gaoyue Zhou, Albert Yu, Nicholas Rhinehart, Sergey Levine
Parrot: Data-Driven Behavioral Priors for Reinforcement Learning. ICLR (2021)
Avi Singh, Huihan Liu, Gaoyue Zhou, Albert Yu, Nicholas Rhinehart, Sergey Levine
Parrot: Data-Driven Behavioral Priors for Reinforcement Learning. CoRR (2020)
Avi Singh, Eric Jang, Alexander Irpan, Daniel Kappler, Murtaza Dalal, Sergey Levine, Mohi Khansari, Chelsea Finn
Scalable Multi-Task Imitation Learning with Autonomous Improvement. CoRR (2020)
Henry Zhu, Justin Yu, Abhishek Gupta, Dhruv Shah, Kristian Hartikainen, Avi Singh, Vikash Kumar, Sergey Levine
The Ingredients of Real World Robotic Reinforcement Learning. ICLR (2020)
Avi Singh, Albert Yu, Jonathan Yang, Jesse Zhang, Aviral Kumar, Sergey Levine
Chaining Behaviors from Data with Model-Free Reinforcement Learning. CoRL (2020)
Avi Singh, Eric Jang, Alexander Irpan, Daniel Kappler, Murtaza Dalal, Sergey Levine, Mohi Khansari, Chelsea Finn
Scalable Multi-Task Imitation Learning with Autonomous Improvement. ICRA (2020)
Henry Zhu, Justin Yu, Abhishek Gupta, Dhruv Shah, Kristian Hartikainen, Avi Singh, Vikash Kumar, Sergey Levine
The Ingredients of Real-World Robotic Reinforcement Learning. CoRR (2020)
Avi Singh, Albert Yu, Jonathan Yang, Jesse Zhang, Aviral Kumar, Sergey Levine
COG: Connecting New Skills to Past Experience with Offline Reinforcement Learning. CoRR (2020)
Avi Singh, Larry Yang, Kristian Hartikainen, Chelsea Finn, Sergey Levine
End-to-End Robotic Reinforcement Learning without Reward Engineering. CoRR (2019)
Avi Singh, Larry Yang, Chelsea Finn, Sergey Levine
End-To-End Robotic Reinforcement Learning without Reward Engineering. Robotics: Science and Systems (2019)
Abhishek Das, Satwik Kottur, Khushi Gupta, Avi Singh, Deshraj Yadav, Stefan Lee, José M. F. Moura, Devi Parikh, Dhruv Batra
Visual Dialog. IEEE Trans. Pattern Anal. Mach. Intell. 41 (5) (2019)
Justin Fu, Avi Singh, Dibya Ghosh, Larry Yang, Sergey Levine
Variational Inverse Control with Events: A General Framework for Data-Driven Reward Definition. CoRR (2018)
Dibya Ghosh, Avi Singh, Aravind Rajeswaran, Vikash Kumar, Sergey Levine
Divide-and-Conquer Reinforcement Learning. ICLR (Poster) (2018)
Annie Xie, Avi Singh, Sergey Levine, Chelsea Finn
Few-Shot Goal Inference for Visuomotor Learning and Planning. CoRR (2018)
Justin Fu, Avi Singh, Dibya Ghosh, Larry Yang, Sergey Levine
Variational Inverse Control with Events: A General Framework for Data-Driven Reward Definition. NeurIPS (2018)
Annie Xie, Avi Singh, Sergey Levine, Chelsea Finn
Few-Shot Goal Inference for Visuomotor Learning and Planning. CoRL (2018)
Avi Singh, Larry Yang, Sergey Levine
GPLAC: Generalizing Vision-Based Robotic Skills Using Weakly Labeled Images. ICCV (2017)
Abhishek Das, Satwik Kottur, Khushi Gupta, Avi Singh, Deshraj Yadav, José M. F. Moura, Devi Parikh, Dhruv Batra
Visual Dialog. CVPR (2017)
Dibya Ghosh, Avi Singh, Aravind Rajeswaran, Vikash Kumar, Sergey Levine
Divide-and-Conquer Reinforcement Learning. CoRR (2017)
Avi Singh, Larry Yang, Sergey Levine
GPLAC: Generalizing Vision-Based Robotic Skills using Weakly Labeled Images. CoRR (2017)
Ashesh Jain, Avi Singh, Hema Swetha Koppula, Shane Soh, Ashutosh Saxena
Recurrent Neural Networks for driver activity anticipation via sensory-fusion architecture. ICRA (2016)
Ashesh Jain, Hema Swetha Koppula, Shane Soh, Bharad Raghavan, Avi Singh, Ashutosh Saxena
Brain4Cars: Car That Knows Before You Do via Sensory-Fusion Deep Learning Architecture. CoRR (2016)
Abhishek Das, Satwik Kottur, Khushi Gupta, Avi Singh, Deshraj Yadav, José M. F. Moura, Devi Parikh, Dhruv Batra
Visual Dialog. CoRR (2016)
Ashesh Jain, Avi Singh, Hema Swetha Koppula, Shane Soh, Ashutosh Saxena
Recurrent Neural Networks for Driver Activity Anticipation via Sensory-Fusion Architecture. CoRR (2015)