Ashvin Nair
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
15
Venues
5
Active years
2017–2023
Best venue rank
A*
Where they publish
Papers
15 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2023 | ICRA | 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 |
| 2022 | CoRL | Generalization with Lossy Affordances: Leveraging Broad Offline Data for Learning Visuomotor Tasks. | Kuan Fang, Patrick Yin, Ashvin Nair, Homer Walke, Gengchen Yan, Sergey Levine |
| 2022 | ICLR | Offline Reinforcement Learning with Implicit Q-Learning. | Ilya Kostrikov, Ashvin Nair, Sergey Levine |
| 2022 | ICML | Bisimulation Makes Analogies in Goal-Conditioned Reinforcement Learning. | Philippe Hansen-Estruch, Amy Zhang, Ashvin Nair, Patrick Yin, Sergey Levine |
| 2022 | ICML | Offline Meta-Reinforcement Learning with Online Self-Supervision. | Vitchyr H. Pong, Ashvin Nair, Laura Smith, Catherine Huang, Sergey Levine |
| 2022 | IROS | Planning to Practice: Efficient Online Fine-Tuning by Composing Goals in Latent Space. | Kuan Fang, Patrick Yin, Ashvin Nair, Sergey Levine |
| 2021 | ICRA | What Can I Do Here? Learning New Skills by Imagining Visual Affordances. | Alexander Khazatsky, Ashvin Nair, Daniel Jing, Sergey Levine |
| 2021 | ICRA | DisCo RL: Distribution-Conditioned Reinforcement Learning for General-Purpose Policies. | Soroush Nasiriany, Vitchyr H. Pong, Ashvin Nair, Alexander Khazatsky, Glen Berseth, Sergey Levine |
| 2020 | ICML | Skew-Fit: State-Covering Self-Supervised Reinforcement Learning. | Vitchyr Pong, Murtaza Dalal, Steven Lin, Ashvin Nair, Shikhar Bahl, Sergey Levine |
| 2020 | IROS | 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 |
| 2020 | IROS | Meta-Reinforcement Learning for Robotic Industrial Insertion Tasks. | Gerrit Schoettler, Ashvin Nair, Juan Aparicio Ojea, Sergey Levine, Eugen Solowjow |
| 2019 | CoRL | Contextual Imagined Goals for Self-Supervised Robotic Learning. | Ashvin Nair, Shikhar Bahl, Alexander Khazatsky, Vitchyr Pong, Glen Berseth, Sergey Levine |
| 2019 | ICRA | 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 |
| 2018 | ICRA | Overcoming Exploration in Reinforcement Learning with Demonstrations. | Ashvin Nair, Bob McGrew, Marcin Andrychowicz, Wojciech Zaremba, Pieter Abbeel |
| 2017 | ICRA | 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 |