Learning to Poke by Poking: Experiential Learning of Intuitive Physics. - Pulkit Agrawal 001; Ashvin Nair; Pieter Abbeel; Jitendra Malik; Sergey Levine (CoRR, 2016)

Combining self-supervised learning and imitation for vision-based rope manipulation. - Ashvin Nair; Dian Chen 001; Pulkit Agrawal 001; Phillip Isola; Pieter Abbeel; Jitendra Malik; Sergey Levine (ICRA, 2017)

Overcoming Exploration in Reinforcement Learning with Demonstrations. - Ashvin Nair; Bob McGrew; Marcin Andrychowicz; Wojciech Zaremba; Pieter Abbeel (ICRA, 2018)

Visual Reinforcement Learning with Imagined Goals. - Ashvin Nair; Vitchyr Pong; Murtaza Dalal; Shikhar Bahl; Steven Lin; Sergey Levine (NeurIPS, 2018)

Contextual Imagined Goals for Self-Supervised Robotic Learning. - Ashvin Nair; Shikhar Bahl; Alexander Khazatsky; Vitchyr Pong; Glen Berseth; Sergey Levine (CoRL, 2019)

Residual Reinforcement Learning for Robot Control. - Tobias Johannink; Shikhar Bahl; Ashvin Nair; Jianlan Luo; Avinash Kumar 005; Matthias Loskyll; Juan Aparicio Ojea; Eugen Solowjow; Sergey Levine (ICRA, 2019)

Skew-Fit: State-Covering Self-Supervised Reinforcement Learning. - Vitchyr Pong; Murtaza Dalal; Steven Lin; Ashvin Nair; Shikhar Bahl; Sergey Levine (ICML, 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 (IROS, 2020)

Meta-Reinforcement Learning for Robotic Industrial Insertion Tasks. - Gerrit Schoettler; Ashvin Nair; Juan Aparicio Ojea; Sergey Levine; Eugen Solowjow (IROS, 2020)

Accelerating Online Reinforcement Learning with Offline Datasets. - Ashvin Nair; Murtaza Dalal; Abhishek Gupta 004; Sergey Levine (CoRR, 2020)

What Can I Do Here? Learning New Skills by Imagining Visual Affordances. - Alexander Khazatsky; Ashvin Nair; Daniel Jing; Sergey Levine (ICRA, 2021)

DisCo RL: Distribution-Conditioned Reinforcement Learning for General-Purpose Policies. - Soroush Nasiriany; Vitchyr H. Pong; Ashvin Nair; Alexander Khazatsky; Glen Berseth; Sergey Levine (ICRA, 2021)

Generalization with Lossy Affordances: Leveraging Broad Offline Data for Learning Visuomotor Tasks. - Kuan Fang; Patrick Yin; Ashvin Nair; Homer Walke; Gengchen Yan; Sergey Levine (CoRL, 2022)

Offline Reinforcement Learning with Implicit Q-Learning. - Ilya Kostrikov; Ashvin Nair; Sergey Levine (ICLR, 2022)

Bisimulation Makes Analogies in Goal-Conditioned Reinforcement Learning. - Philippe Hansen-Estruch; Amy Zhang 001; Ashvin Nair; Patrick Yin; Sergey Levine (ICML, 2022)

Offline Meta-Reinforcement Learning with Online Self-Supervision. - Vitchyr H. Pong; Ashvin Nair; Laura M. Smith; Catherine Huang; Sergey Levine (ICML, 2022)

Planning to Practice: Efficient Online Fine-Tuning by Composing Goals in Latent Space. - Kuan Fang; Patrick Yin; Ashvin Nair; Sergey Levine (IROS, 2022)

Scalable Robot Learning - Ashvin Nair (2022)

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 (ICRA, 2023)

OpenAI o1 System Card. - Aaron Jaech; Adam Kalai; Adam Lerer; Adam Richardson; Ahmed El-Kishky; Aiden Low; Alec Helyar; Aleksander Madry; Alex Beutel; Alex Carney; Alex Iftimie; Alex Karpenko; et al. (CoRR, 2024)