Ashvin Nair

According to our database, Ashvin Nair authored at least 19 papers between 2016 and 2023.

Collaborative distances:

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

2023

Learning on the Job: Self-Rewarding Offline-to-Online Finetuning for Industrial Insertion of Novel Connectors from Vision.

Ashvin Nair, Brian Zhu, Gokul Narayanan, Eugen Solowjow, Sergey Levine

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

2022

Scalable Robot Learning

Ashvin Nair

PhD thesis, 2022

Planning to Practice: Efficient Online Fine-Tuning by Composing Goals in Latent Space.

Kuan Fang, Patrick Yin, Ashvin Nair, Sergey Levine

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Offline Meta-Reinforcement Learning with Online Self-Supervision.

Vitchyr H. Pong, Ashvin Nair, Laura M. Smith, Catherine Huang, Sergey Levine

Proceedings of the International Conference on Machine Learning, 2022

Bisimulation Makes Analogies in Goal-Conditioned Reinforcement Learning.

Philippe Hansen-Estruch, Amy Zhang, Ashvin Nair, Patrick Yin, Sergey Levine

Proceedings of the International Conference on Machine Learning, 2022

Offline Reinforcement Learning with Implicit Q-Learning.

Ilya Kostrikov, Ashvin Nair, Sergey Levine

Proceedings of the Tenth International Conference on Learning Representations, 2022

Generalization with Lossy Affordances: Leveraging Broad Offline Data for Learning Visuomotor Tasks.

Kuan Fang, Patrick Yin, Ashvin Nair, Homer Walke, Gengchen Yan, Sergey Levine

Proceedings of the Conference on Robot Learning, 2022

2021

DisCo RL: Distribution-Conditioned Reinforcement Learning for General-Purpose Policies.

Soroush Nasiriany, Vitchyr H. Pong, Ashvin Nair, Alexander Khazatsky, Glen Berseth, Sergey Levine

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

What Can I Do Here? Learning New Skills by Imagining Visual Affordances.

Alexander Khazatsky, Ashvin Nair, Daniel Jing, Sergey Levine

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

2020

Accelerating Online Reinforcement Learning with Offline Datasets.

Ashvin Nair, Murtaza Dalal, Abhishek Gupta, Sergey Levine

CoRR, 2020

Meta-Reinforcement Learning for Robotic Industrial Insertion Tasks.

Gerrit Schoettler, Ashvin Nair, Juan Aparicio Ojea, Sergey Levine, Eugen Solowjow

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Deep Reinforcement Learning for Industrial Insertion Tasks with Visual Inputs and Natural Rewards.

Gerrit Schoettler, Ashvin Nair, Jianlan Luo, Shikhar Bahl, Juan Aparicio Ojea, Eugen Solowjow, Sergey Levine

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Skew-Fit: State-Covering Self-Supervised Reinforcement Learning.

Vitchyr Pong, Murtaza Dalal, Steven Lin, Ashvin Nair, Shikhar Bahl, Sergey Levine

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Residual Reinforcement Learning for Robot Control.

Tobias Johannink, Shikhar Bahl, Ashvin Nair, Jianlan Luo, Avinash Kumar, Matthias Loskyll, Juan Aparicio Ojea, Eugen Solowjow, Sergey Levine

Proceedings of the International Conference on Robotics and Automation, 2019

Contextual Imagined Goals for Self-Supervised Robotic Learning.

Ashvin Nair, Shikhar Bahl, Alexander Khazatsky, Vitchyr Pong, Glen Berseth, Sergey Levine

Proceedings of the 3rd Annual Conference on Robot Learning, 2019

2018

Visual Reinforcement Learning with Imagined Goals.

Ashvin Nair, Vitchyr Pong, Murtaza Dalal, Shikhar Bahl, Steven Lin, Sergey Levine

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

Overcoming Exploration in Reinforcement Learning with Demonstrations.

Ashvin Nair, Bob McGrew, Marcin Andrychowicz, Wojciech Zaremba, Pieter Abbeel

Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

2017

Combining self-supervised learning and imitation for vision-based rope manipulation.

Ashvin Nair, Dian Chen, Pulkit Agrawal, Phillip Isola, Pieter Abbeel, Jitendra Malik, Sergey Levine

Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

2016

Learning to Poke by Poking: Experiential Learning of Intuitive Physics.

Pulkit Agrawal, Ashvin Nair, Pieter Abbeel, Jitendra Malik, Sergey Levine

CoRR, 2016