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ORCIDAvi Singh
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2020 – today
- 2024
[j2]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)- [i20]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:
Many-Shot In-Context Learning. CoRR abs/2404.11018 (2024) - [i19]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:
Training Language Models to Self-Correct via Reinforcement Learning. CoRR abs/2409.12917 (2024) - 2023
- [c15]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: 11336-11342 - [c14]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 - [i18]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 abs/2309.03315 (2023) - [i17]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 abs/2310.10047 (2023) - [i16]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 abs/2312.06585 (2023) - 2022
- [c13]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: 212-224 - [c12]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: 1652-1662 - [i15]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 abs/2207.04703 (2022) - [i14]Saminda Abeyruwan, Laura Graesser, David B. D'Ambrosio, Avi Singh, Anish Shankar, Alex Bewley, Deepali Jain, Krzysztof Choromanski, Pannag R. Sanketi:
i-Sim2Real: Reinforcement Learning of Robotic Policies in Tight Human-Robot Interaction Loops. CoRR abs/2207.06572 (2022) - [i13]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 abs/2210.02343 (2022) - 2021
- [b1]Avi Singh:
Real World Robot Learning: Learned Rewards, Offline Datasets and Skill Re-Use. University of California, Berkeley, USA, 2021 - [c11]Avi Singh, Huihan Liu, Gaoyue Zhou, Albert Yu, Nicholas Rhinehart, Sergey Levine:
Parrot: Data-Driven Behavioral Priors for Reinforcement Learning. ICLR 2021 - 2020
- [c10]Avi Singh, Albert Yu, Jonathan Yang, Jesse Zhang, Aviral Kumar, Sergey Levine:
Chaining Behaviors from Data with Model-Free Reinforcement Learning. CoRL 2020: 2162-2177 - [c9]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 - [c8]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: 2167-2173 - [i12]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 abs/2003.02636 (2020) - [i11]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 abs/2004.12570 (2020) - [i10]Avi Singh, Albert Yu, Jonathan Yang, Jesse Zhang, Aviral Kumar, Sergey Levine:
COG: Connecting New Skills to Past Experience with Offline Reinforcement Learning. CoRR abs/2010.14500 (2020) - [i9]Avi Singh, Huihan Liu, Gaoyue Zhou, Albert Yu, Nicholas Rhinehart, Sergey Levine:
Parrot: Data-Driven Behavioral Priors for Reinforcement Learning. CoRR abs/2011.10024 (2020)
2010 – 2019
- 2019
- [j1]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): 1242-1256 (2019) - [c7]Avi Singh, Larry Yang, Chelsea Finn, Sergey Levine:
End-To-End Robotic Reinforcement Learning without Reward Engineering. Robotics: Science and Systems 2019 - [i8]Avi Singh, Larry Yang, Kristian Hartikainen, Chelsea Finn, Sergey Levine:
End-to-End Robotic Reinforcement Learning without Reward Engineering. CoRR abs/1904.07854 (2019) - 2018
- [c6]Annie Xie, Avi Singh, Sergey Levine, Chelsea Finn:
Few-Shot Goal Inference for Visuomotor Learning and Planning. CoRL 2018: 40-52 - [c5]Dibya Ghosh, Avi Singh, Aravind Rajeswaran, Vikash Kumar, Sergey Levine:
Divide-and-Conquer Reinforcement Learning. ICLR (Poster) 2018 - [c4]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: 8547-8556 - [i7]Justin Fu, Avi Singh, Dibya Ghosh, Larry Yang, Sergey Levine:
Variational Inverse Control with Events: A General Framework for Data-Driven Reward Definition. CoRR abs/1805.11686 (2018) - [i6]Annie Xie, Avi Singh, Sergey Levine, Chelsea Finn:
Few-Shot Goal Inference for Visuomotor Learning and Planning. CoRR abs/1810.00482 (2018) - 2017
- [c3]Abhishek Das, Satwik Kottur, Khushi Gupta, Avi Singh, Deshraj Yadav, José M. F. Moura, Devi Parikh, Dhruv Batra:
Visual Dialog. CVPR 2017: 1080-1089 - [c2]Avi Singh, Larry Yang, Sergey Levine:
GPLAC: Generalizing Vision-Based Robotic Skills Using Weakly Labeled Images. ICCV 2017: 5852-5861 - [i5]Avi Singh, Larry Yang, Sergey Levine:
GPLAC: Generalizing Vision-Based Robotic Skills using Weakly Labeled Images. CoRR abs/1708.02313 (2017) - [i4]Dibya Ghosh, Avi Singh, Aravind Rajeswaran, Vikash Kumar, Sergey Levine:
Divide-and-Conquer Reinforcement Learning. CoRR abs/1711.09874 (2017) - 2016
- [c1]Ashesh Jain, Avi Singh, Hema Swetha Koppula, Shane Soh, Ashutosh Saxena:
Recurrent Neural Networks for driver activity anticipation via sensory-fusion architecture. ICRA 2016: 3118-3125 - [i3]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 abs/1601.00740 (2016) - [i2]Abhishek Das, Satwik Kottur, Khushi Gupta, Avi Singh, Deshraj Yadav, José M. F. Moura, Devi Parikh, Dhruv Batra:
Visual Dialog. CoRR abs/1611.08669 (2016) - 2015
- [i1]Ashesh Jain, Avi Singh, Hema Swetha Koppula, Shane Soh, Ashutosh Saxena:
Recurrent Neural Networks for Driver Activity Anticipation via Sensory-Fusion Architecture. CoRR abs/1509.05016 (2015)
Coauthor Index
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last updated on 2024-10-18 20:33 CEST by the dblp team
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