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ORCIDAshvin Nair
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2020 – today
- 2023
[c16]Ashvin Nair, Brian Zhu, Gokul Narayanan, Eugen Solowjow, Sergey Levine:
Learning on the Job: Self-Rewarding Offline-to-Online Finetuning for Industrial Insertion of Novel Connectors from Vision. ICRA 2023: 7154-7161- 2022
- [b1]Ashvin Nair:
Scalable Robot Learning. University of California, Berkeley, USA, 2022 - [c15]Kuan Fang, Patrick Yin, Ashvin Nair, Homer Walke, Gengchen Yan, Sergey Levine:
Generalization with Lossy Affordances: Leveraging Broad Offline Data for Learning Visuomotor Tasks. CoRL 2022: 106-117 - [c14]Ilya Kostrikov, Ashvin Nair, Sergey Levine:
Offline Reinforcement Learning with Implicit Q-Learning. ICLR 2022 - [c13]Philippe Hansen-Estruch, Amy Zhang, Ashvin Nair, Patrick Yin, Sergey Levine:
Bisimulation Makes Analogies in Goal-Conditioned Reinforcement Learning. ICML 2022: 8407-8426 - [c12]Vitchyr H. Pong, Ashvin Nair, Laura M. Smith, Catherine Huang, Sergey Levine:
Offline Meta-Reinforcement Learning with Online Self-Supervision. ICML 2022: 17811-17829 - [c11]Kuan Fang, Patrick Yin, Ashvin Nair, Sergey Levine:
Planning to Practice: Efficient Online Fine-Tuning by Composing Goals in Latent Space. IROS 2022: 4076-4083 - [i18]Philippe Hansen-Estruch, Amy Zhang, Ashvin Nair, Patrick Yin, Sergey Levine:
Bisimulation Makes Analogies in Goal-Conditioned Reinforcement Learning. CoRR abs/2204.13060 (2022) - [i17]Kuan Fang, Patrick Yin, Ashvin Nair, Sergey Levine:
Planning to Practice: Efficient Online Fine-Tuning by Composing Goals in Latent Space. CoRR abs/2205.08129 (2022) - [i16]Kuan Fang, Patrick Yin, Ashvin Nair, Homer Walke, Gengchen Yan, Sergey Levine:
Generalization with Lossy Affordances: Leveraging Broad Offline Data for Learning Visuomotor Tasks. CoRR abs/2210.06601 (2022) - [i15]Ashvin Nair, Brian Zhu, Gokul Narayanan, Eugen Solowjow, Sergey Levine:
Learning on the Job: Self-Rewarding Offline-to-Online Finetuning for Industrial Insertion of Novel Connectors from Vision. CoRR abs/2210.15206 (2022) - 2021
- [c10]Soroush Nasiriany, Vitchyr H. Pong, Ashvin Nair, Alexander Khazatsky, Glen Berseth, Sergey Levine:
DisCo RL: Distribution-Conditioned Reinforcement Learning for General-Purpose Policies. ICRA 2021: 6635-6641 - [c9]Alexander Khazatsky, Ashvin Nair, Daniel Jing, Sergey Levine:
What Can I Do Here? Learning New Skills by Imagining Visual Affordances. ICRA 2021: 14291-14297 - [i14]Soroush Nasiriany, Vitchyr H. Pong, Ashvin Nair, Alexander Khazatsky, Glen Berseth, Sergey Levine:
DisCo RL: Distribution-Conditioned Reinforcement Learning for General-Purpose Policies. CoRR abs/2104.11707 (2021) - [i13]Alexander Khazatsky, Ashvin Nair, Daniel Jing, Sergey Levine:
What Can I Do Here? Learning New Skills by Imagining Visual Affordances. CoRR abs/2106.00671 (2021) - [i12]Vitchyr H. Pong, Ashvin Nair, Laura M. Smith, Catherine Huang, Sergey Levine:
Offline Meta-Reinforcement Learning with Online Self-Supervision. CoRR abs/2107.03974 (2021) - [i11]Ilya Kostrikov, Ashvin Nair, Sergey Levine:
Offline Reinforcement Learning with Implicit Q-Learning. CoRR abs/2110.06169 (2021) - 2020
- [c8]Vitchyr Pong, Murtaza Dalal, Steven Lin, Ashvin Nair, Shikhar Bahl, Sergey Levine:
Skew-Fit: State-Covering Self-Supervised Reinforcement Learning. ICML 2020: 7783-7792 - [c7]Gerrit Schoettler, Ashvin Nair, Jianlan Luo, Shikhar Bahl, Juan Aparicio Ojea, Eugen Solowjow, Sergey Levine:
Deep Reinforcement Learning for Industrial Insertion Tasks with Visual Inputs and Natural Rewards. IROS 2020: 5548-5555 - [c6]Gerrit Schoettler, Ashvin Nair, Juan Aparicio Ojea, Sergey Levine, Eugen Solowjow:
Meta-Reinforcement Learning for Robotic Industrial Insertion Tasks. IROS 2020: 9728-9735 - [i10]Gerrit Schoettler, Ashvin Nair, Juan Aparicio Ojea, Sergey Levine, Eugen Solowjow:
Meta-Reinforcement Learning for Robotic Industrial Insertion Tasks. CoRR abs/2004.14404 (2020) - [i9]Ashvin Nair, Murtaza Dalal, Abhishek Gupta, Sergey Levine:
Accelerating Online Reinforcement Learning with Offline Datasets. CoRR abs/2006.09359 (2020)
2010 – 2019
- 2019
- [c5]Ashvin Nair, Shikhar Bahl, Alexander Khazatsky, Vitchyr Pong, Glen Berseth, Sergey Levine:
Contextual Imagined Goals for Self-Supervised Robotic Learning. CoRL 2019: 530-539 - [c4]Tobias Johannink, Shikhar Bahl, Ashvin Nair, Jianlan Luo, Avinash Kumar, Matthias Loskyll, Juan Aparicio Ojea, Eugen Solowjow, Sergey Levine:
Residual Reinforcement Learning for Robot Control. ICRA 2019: 6023-6029 - [i8]Vitchyr H. Pong, Murtaza Dalal, Steven Lin, Ashvin Nair, Shikhar Bahl, Sergey Levine:
Skew-Fit: State-Covering Self-Supervised Reinforcement Learning. CoRR abs/1903.03698 (2019) - [i7]Gerrit Schoettler, Ashvin Nair, Jianlan Luo, Shikhar Bahl, Juan Aparicio Ojea, Eugen Solowjow, Sergey Levine:
Deep Reinforcement Learning for Industrial Insertion Tasks with Visual Inputs and Natural Rewards. CoRR abs/1906.05841 (2019) - [i6]Ashvin Nair, Shikhar Bahl, Alexander Khazatsky, Vitchyr Pong, Glen Berseth, Sergey Levine:
Contextual Imagined Goals for Self-Supervised Robotic Learning. CoRR abs/1910.11670 (2019) - 2018
- [c3]Ashvin Nair, Bob McGrew, Marcin Andrychowicz, Wojciech Zaremba, Pieter Abbeel:
Overcoming Exploration in Reinforcement Learning with Demonstrations. ICRA 2018: 6292-6299 - [c2]Ashvin Nair, Vitchyr Pong, Murtaza Dalal, Shikhar Bahl, Steven Lin, Sergey Levine:
Visual Reinforcement Learning with Imagined Goals. NeurIPS 2018: 9209-9220 - [i5]Ashvin Nair, Vitchyr Pong, Murtaza Dalal, Shikhar Bahl, Steven Lin, Sergey Levine:
Visual Reinforcement Learning with Imagined Goals. CoRR abs/1807.04742 (2018) - [i4]Tobias Johannink, Shikhar Bahl, Ashvin Nair, Jianlan Luo, Avinash Kumar, Matthias Loskyll, Juan Aparicio Ojea, Eugen Solowjow, Sergey Levine:
Residual Reinforcement Learning for Robot Control. CoRR abs/1812.03201 (2018) - 2017
- [c1]Ashvin Nair, Dian Chen, Pulkit Agrawal, Phillip Isola, Pieter Abbeel, Jitendra Malik, Sergey Levine:
Combining self-supervised learning and imitation for vision-based rope manipulation. ICRA 2017: 2146-2153 - [i3]Ashvin Nair, Dian Chen
, Pulkit Agrawal, Phillip Isola, Pieter Abbeel, Jitendra Malik, Sergey Levine:
Combining Self-Supervised Learning and Imitation for Vision-Based Rope Manipulation. CoRR abs/1703.02018 (2017) - [i2]Ashvin Nair, Bob McGrew, Marcin Andrychowicz, Wojciech Zaremba, Pieter Abbeel:
Overcoming Exploration in Reinforcement Learning with Demonstrations. CoRR abs/1709.10089 (2017) - 2016
- [i1]Pulkit Agrawal, Ashvin Nair, Pieter Abbeel, Jitendra Malik, Sergey Levine:
Learning to Poke by Poking: Experiential Learning of Intuitive Physics. CoRR abs/1606.07419 (2016)
Coauthor Index
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