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


Oct 27, 2022
Ashvin Nair, Brian Zhu, Gokul Narayanan, Eugen Solowjow, Sergey Levine

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* 10 pages 
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Generalization with Lossy Affordances: Leveraging Broad Offline Data for Learning Visuomotor Tasks


Oct 12, 2022
Kuan Fang, Patrick Yin, Ashvin Nair, Homer Walke, Gengchen Yan, Sergey Levine

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* CoRL 2022 
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Planning to Practice: Efficient Online Fine-Tuning by Composing Goals in Latent Space


May 17, 2022
Kuan Fang, Patrick Yin, Ashvin Nair, Sergey Levine

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Bisimulation Makes Analogies in Goal-Conditioned Reinforcement Learning


Apr 28, 2022
Philippe Hansen-Estruch, Amy Zhang, Ashvin Nair, Patrick Yin, Sergey Levine

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* 20 Pages, 15 Figures, 4 Tables 
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Offline Reinforcement Learning with Implicit Q-Learning


Oct 12, 2021
Ilya Kostrikov, Ashvin Nair, Sergey Levine

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Offline Meta-Reinforcement Learning with Online Self-Supervision


Jul 19, 2021
Vitchyr H. Pong, Ashvin Nair, Laura Smith, Catherine Huang, Sergey Levine

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* 10 pages, 6 figures 
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What Can I Do Here? Learning New Skills by Imagining Visual Affordances


Jun 13, 2021
Alexander Khazatsky, Ashvin Nair, Daniel Jing, Sergey Levine

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* 10 pages, 10 figures. Presented at ICRA 2021. Project website: https://sites.google.com/view/val-rl 
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DisCo RL: Distribution-Conditioned Reinforcement Learning for General-Purpose Policies


Apr 23, 2021
Soroush Nasiriany, Vitchyr H. Pong, Ashvin Nair, Alexander Khazatsky, Glen Berseth, Sergey Levine

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* ICRA 2021 
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