Avi Singh

According to our database¹, Avi Singh authored at least 22 papers between 2016 and 2023.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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In proceedings

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PhD thesis

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Links

On csauthors.net:

Bibliography

2023

Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models.

[BibT_eX]

[DOI]

CoRR, 2023

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

[BibT_eX]

[DOI]

CoRR, 2023

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

[BibT_eX]

[DOI]

CoRR, 2023

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

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Conference on Robot Learning, 2022

i-Sim2Real: Reinforcement Learning of Robotic Policies in Tight Human-Robot Interaction Loops.

[BibT_eX]

[DOI]

Saminda Wishwajith Abeyruwan

Krzysztof Marcin Choromanski

Pannag R. Sanketi

Proceedings of the Conference on Robot Learning, 2022

2021

Parrot: Data-Driven Behavioral Priors for Reinforcement Learning.

[BibT_eX]

[DOI]

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

2020

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

[BibT_eX]

[DOI]

CoRR, 2020

Scalable Multi-Task Imitation Learning with Autonomous Improvement.

[BibT_eX]

[DOI]

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

The Ingredients of Real World Robotic Reinforcement Learning.

[BibT_eX]

[DOI]

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

Chaining Behaviors from Data with Model-Free Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the 4th Conference on Robot Learning, 2020

2019

Visual Dialog.

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

CoRR, 2019

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

[BibT_eX]

[DOI]

Proceedings of the Robotics: Science and Systems XV, 2019

2018

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

[BibT_eX]

[DOI]

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

Divide-and-Conquer Reinforcement Learning.

[BibT_eX]

[DOI]

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

Few-Shot Goal Inference for Visuomotor Learning and Planning.

[BibT_eX]

[DOI]

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

2017

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

[BibT_eX]

[DOI]

Avi Singh

Larry Yang

Sergey Levine

Proceedings of the IEEE International Conference on Computer Vision, 2017

Visual Dialog.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

CoRR, 2016

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

[BibT_eX]

[DOI]

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

Avi Singh

Timeline

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On csauthors.net:

Bibliography

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