| Bisimulation makes analogies in goal-conditioned reinforcement learning P Hansen-Estruch, A Zhang, A Nair, P Yin, S Levine International Conference on Machine Learning, 8407-8426, 2022 | 27 | 2022 |
| Planning to practice: Efficient online fine-tuning by composing goals in latent space K Fang, P Yin, A Nair, S Levine 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2022 | 17 | 2022 |
| Generalization with lossy affordances: Leveraging broad offline data for learning visuomotor tasks K Fang, P Yin, A Nair, HR Walke, G Yan, S Levine Conference on Robot Learning, 106-117, 2023 | 16 | 2023 |
| Droid: A large-scale in-the-wild robot manipulation dataset A Khazatsky, K Pertsch, S Nair, A Balakrishna, S Dasari, S Karamcheti, ... arXiv preprint arXiv:2403.12945, 2024 | 6 | 2024 |
| Stabilizing Contrastive RL: Techniques for Robotic Goal Reaching from Offline Data C Zheng, B Eysenbach, HR Walke, P Yin, K Fang, R Salakhutdinov, ... The Twelfth International Conference on Learning Representations, 2023 | 6* | 2023 |
| ASID: Active Exploration for System Identification in Robotic Manipulation M Memmel, A Wagenmaker, C Zhu, P Yin, D Fox, A Gupta arXiv preprint arXiv:2404.12308, 2024 | | 2024 |
