Nair, Ashvin

10 publications

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

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

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

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

NeurIPSW 2021 Offline Meta-Reinforcement Learning with Online Self-Supervision Vitchyr H. Pong, Ashvin Nair, Laura Smith, Catherine Huang, Sergey Levine

NeurIPSW 2021 Offline Meta-Reinforcement Learning with Online Self-Supervision Vitchyr H. Pong, Ashvin Nair, Laura Smith, Catherine Huang, Sergey Levine

NeurIPSW 2021 Offline Reinforcement Learning with Implicit Q-Learning Ilya Kostrikov, Ashvin Nair, Sergey Levine

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

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

ICMLW 2019 Deep Reinforcement Learning for Industrial Insertion Tasks with Visual Inputs and Natural Reward Signals Gerrit Schoettler, Ashvin Nair, Jianlan Luo, Shikhar Bahl, Juan Aparicio Ojea, Eugen Solowjow, Sergey Levine