Ashvin Nair - RankMe

36 papers A* 11A 3Misc 2Journal 19

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Composer 2 Technical Report. CoRR Aaron Chan, Ahmed Shalaby, Alexander Wettig, Aman Sanger, Andrew Zhai, Anurag Ajay, Ashvin Nair, Charlie Snell, Chen Lu, Chen Shen, Emily Jia, Federico Cassano, Hanpeng Liu, Haoyu Chen, Henry Wildermuth, Jacob Jackson, Janet Li, Jediah Katz, Jiajun Yao, Joey Hejna, Josh Warner, Julius Vering, Kevin Frans, Lee Danilek, Less Wright, Lujing Cen, Luke Melas-Kyriazi, Michael Truell, Michiel de Jong, Naman Jain, Nate Schmidt, Nathan Wang, Niklas Muennighoff, Oleg Rybkin, Paul Loh, Phillip Kravtsov, Rishabh Yadav, Sahil Shah, Sam Kottler, Alexander M. Rush, Shengtong Zhang, Shomil Jain, Sriram Sankar, Stefan Heule, Stuart H. Sul, Sualeh Asif, Victor Rong, Wanqi Zhu, William Lin, Yuchen Wu, Yuri Volkov, Yury Zemlyanskiy, Zack Holbrook, Zhiyuan Zhang
2023	A*	`conf`	Learning on the Job: Self-Rewarding Offline-to-Online Finetuning for Industrial Insertion of Novel Connectors from Vision. ICRA Ashvin Nair, Brian Zhu, Gokul Narayanan, Eugen Solowjow, Sergey Levine
2022	A*	`conf`	Bisimulation Makes Analogies in Goal-Conditioned Reinforcement Learning. ICML Philippe Hansen-Estruch, Amy Zhang, Ashvin Nair, Patrick Yin, Sergey Levine
2022	J	`jnl`	Bisimulation Makes Analogies in Goal-Conditioned Reinforcement Learning. CoRR Philippe Hansen-Estruch, Amy Zhang, Ashvin Nair, Patrick Yin, Sergey Levine
2022	Misc	`conf`	Generalization with Lossy Affordances: Leveraging Broad Offline Data for Learning Visuomotor Tasks. CoRL Kuan Fang, Patrick Yin, Ashvin Nair, Homer Walke, Gengchen Yan, Sergey Levine
2022	J	`jnl`	Generalization with Lossy Affordances: Leveraging Broad Offline Data for Learning Visuomotor Tasks. CoRR Kuan Fang, Patrick Yin, Ashvin Nair, Homer Walke, Gengchen Yan, Sergey Levine
2022	J	`jnl`	Learning on the Job: Self-Rewarding Offline-to-Online Finetuning for Industrial Insertion of Novel Connectors from Vision. CoRR Ashvin Nair, Brian Zhu, Gokul Narayanan, Eugen Solowjow, Sergey Levine
2022	A*	`conf`	Offline Meta-Reinforcement Learning with Online Self-Supervision. ICML Vitchyr H. Pong, Ashvin Nair, Laura Smith, Catherine Huang, Sergey Levine
2022	A*	`conf`	Offline Reinforcement Learning with Implicit Q-Learning. ICLR Ilya Kostrikov, Ashvin Nair, Sergey Levine
2022	A	`conf`	Planning to Practice: Efficient Online Fine-Tuning by Composing Goals in Latent Space. IROS Kuan Fang, Patrick Yin, Ashvin Nair, Sergey Levine
2022	J	`jnl`	Planning to Practice: Efficient Online Fine-Tuning by Composing Goals in Latent Space. CoRR Kuan Fang, Patrick Yin, Ashvin Nair, Sergey Levine
2022	—	`—`	Scalable Robot Learning Ashvin Nair
2021	A*	`conf`	DisCo RL: Distribution-Conditioned Reinforcement Learning for General-Purpose Policies. ICRA Soroush Nasiriany, Vitchyr H. Pong, Ashvin Nair, Alexander Khazatsky, Glen Berseth, Sergey Levine
2021	J	`jnl`	DisCo RL: Distribution-Conditioned Reinforcement Learning for General-Purpose Policies. CoRR Soroush Nasiriany, Vitchyr H. Pong, Ashvin Nair, Alexander Khazatsky, Glen Berseth, Sergey Levine
2021	J	`jnl`	Offline Meta-Reinforcement Learning with Online Self-Supervision. CoRR Vitchyr H. Pong, Ashvin Nair, Laura Smith, Catherine Huang, Sergey Levine
2021	J	`jnl`	Offline Reinforcement Learning with Implicit Q-Learning. CoRR Ilya Kostrikov, Ashvin Nair, Sergey Levine
2021	A*	`conf`	What Can I Do Here? Learning New Skills by Imagining Visual Affordances. ICRA Alexander Khazatsky, Ashvin Nair, Daniel Jing, Sergey Levine
2021	J	`jnl`	What Can I Do Here? Learning New Skills by Imagining Visual Affordances. CoRR Alexander Khazatsky, Ashvin Nair, Daniel Jing, Sergey Levine
2020	J	`jnl`	Accelerating Online Reinforcement Learning with Offline Datasets. CoRR Ashvin Nair, Murtaza Dalal, Abhishek Gupta, Sergey Levine
2020	A	`conf`	Deep Reinforcement Learning for Industrial Insertion Tasks with Visual Inputs and Natural Rewards. IROS Gerrit Schoettler, Ashvin Nair, Jianlan Luo, Shikhar Bahl, Juan Aparicio Ojea, Eugen Solowjow, Sergey Levine
2020	A	`conf`	Meta-Reinforcement Learning for Robotic Industrial Insertion Tasks. IROS Gerrit Schoettler, Ashvin Nair, Juan Aparicio Ojea, Sergey Levine, Eugen Solowjow
2020	J	`jnl`	Meta-Reinforcement Learning for Robotic Industrial Insertion Tasks. CoRR Gerrit Schoettler, Ashvin Nair, Juan Aparicio Ojea, Sergey Levine, Eugen Solowjow
2020	A*	`conf`	Skew-Fit: State-Covering Self-Supervised Reinforcement Learning. ICML Vitchyr Pong, Murtaza Dalal, Steven Lin, Ashvin Nair, Shikhar Bahl, Sergey Levine
2019	Misc	`conf`	Contextual Imagined Goals for Self-Supervised Robotic Learning. CoRL Ashvin Nair, Shikhar Bahl, Alexander Khazatsky, Vitchyr Pong, Glen Berseth, Sergey Levine
2019	J	`jnl`	Contextual Imagined Goals for Self-Supervised Robotic Learning. CoRR Ashvin Nair, Shikhar Bahl, Alexander Khazatsky, Vitchyr Pong, Glen Berseth, Sergey Levine
2019	J	`jnl`	Deep Reinforcement Learning for Industrial Insertion Tasks with Visual Inputs and Natural Rewards. CoRR Gerrit Schoettler, Ashvin Nair, Jianlan Luo, Shikhar Bahl, Juan Aparicio Ojea, Eugen Solowjow, Sergey Levine
2019	A*	`conf`	Residual Reinforcement Learning for Robot Control. ICRA Tobias Johannink, Shikhar Bahl, Ashvin Nair, Jianlan Luo, Avinash Kumar, Matthias Loskyll, Juan Aparicio Ojea, Eugen Solowjow, Sergey Levine
2019	J	`jnl`	Skew-Fit: State-Covering Self-Supervised Reinforcement Learning. CoRR Vitchyr H. Pong, Murtaza Dalal, Steven Lin, Ashvin Nair, Shikhar Bahl, Sergey Levine
2018	A*	`conf`	Overcoming Exploration in Reinforcement Learning with Demonstrations. ICRA Ashvin Nair, Bob McGrew, Marcin Andrychowicz, Wojciech Zaremba, Pieter Abbeel
2018	J	`jnl`	Residual Reinforcement Learning for Robot Control. CoRR Tobias Johannink, Shikhar Bahl, Ashvin Nair, Jianlan Luo, Avinash Kumar, Matthias Loskyll, Juan Aparicio Ojea, Eugen Solowjow, Sergey Levine
2018	A*	`conf`	Visual Reinforcement Learning with Imagined Goals. NeurIPS Ashvin Nair, Vitchyr Pong, Murtaza Dalal, Shikhar Bahl, Steven Lin, Sergey Levine
2018	J	`jnl`	Visual Reinforcement Learning with Imagined Goals. CoRR Ashvin Nair, Vitchyr Pong, Murtaza Dalal, Shikhar Bahl, Steven Lin, Sergey Levine
2017	J	`jnl`	Combining Self-Supervised Learning and Imitation for Vision-Based Rope Manipulation. CoRR Ashvin Nair, Dian Chen, Pulkit Agrawal, Phillip Isola, Pieter Abbeel, Jitendra Malik, Sergey Levine
2017	A*	`conf`	Combining self-supervised learning and imitation for vision-based rope manipulation. ICRA Ashvin Nair, Dian Chen, Pulkit Agrawal, Phillip Isola, Pieter Abbeel, Jitendra Malik, Sergey Levine
2017	J	`jnl`	Overcoming Exploration in Reinforcement Learning with Demonstrations. CoRR Ashvin Nair, Bob McGrew, Marcin Andrychowicz, Wojciech Zaremba, Pieter Abbeel
2016	J	`jnl`	Learning to Poke by Poking: Experiential Learning of Intuitive Physics. CoRR Pulkit Agrawal, Ashvin Nair, Pieter Abbeel, Jitendra Malik, Sergey Levine