| Visual foresight: Model-based deep reinforcement learning for vision-based robotic control F Ebert, C Finn, S Dasari, A Xie, A Lee, S Levine arXiv preprint arXiv:1812.00568, 2018 | 442 | 2018 |
| One-shot imitation from observing humans via domain-adaptive meta-learning T Yu, C Finn, A Xie, S Dasari, T Zhang, P Abbeel, S Levine arXiv preprint arXiv:1802.01557, 2018 | 418 | 2018 |
| Open x-embodiment: Robotic learning datasets and rt-x models A O'Neill, A Rehman, A Gupta, A Maddukuri, A Gupta, A Padalkar, A Lee, ... arXiv preprint arXiv:2310.08864, 2023 | 416* | 2023 |
| Learning latent representations to influence multi-agent interaction A Xie, D Losey, R Tolsma, C Finn, D Sadigh Conference on robot learning, 575-588, 2021 | 142 | 2021 |
| Improvisation through physical understanding: Using novel objects as tools with visual foresight A Xie, F Ebert, S Levine, C Finn arXiv preprint arXiv:1904.05538, 2019 | 104 | 2019 |
| 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 | 97 | 2024 |
| Few-shot goal inference for visuomotor learning and planning A Xie, A Singh, S Levine, C Finn Conference on Robot Learning, 40-52, 2018 | 88 | 2018 |
| Deep reinforcement learning amidst lifelong non-stationarity A Xie, J Harrison, C Finn arXiv preprint arXiv:2006.10701, 2020 | 75 | 2020 |
| Pivot: Iterative visual prompting elicits actionable knowledge for vlms S Nasiriany, F Xia, W Yu, T Xiao, J Liang, I Dasgupta, A Xie, D Driess, ... arXiv preprint arXiv:2402.07872, 2024 | 73 | 2024 |
| Supervised pretraining can learn in-context reinforcement learning J Lee, A Xie, A Pacchiano, Y Chandak, C Finn, O Nachum, E Brunskill Advances in Neural Information Processing Systems 36, 2024 | 59 | 2024 |
| Learning predictive models from observation and interaction K Schmeckpeper, A Xie, O Rybkin, S Tian, K Daniilidis, S Levine, C Finn European Conference on Computer Vision, 708-725, 2020 | 59 | 2020 |
| Deep reinforcement learning amidst continual structured non-stationarity A Xie, J Harrison, C Finn International Conference on Machine Learning, 11393-11403, 2021 | 42 | 2021 |
| Lifelong robotic reinforcement learning by retaining experiences A Xie, C Finn Conference on Lifelong Learning Agents, 838-855, 2022 | 41 | 2022 |
| Influencing towards stable multi-agent interactions WZ Wang, A Shih, A Xie, D Sadigh Conference on robot learning, 1132-1143, 2022 | 38 | 2022 |
| Decomposing the generalization gap in imitation learning for visual robotic manipulation A Xie, L Lee, T Xiao, C Finn 2024 IEEE International Conference on Robotics and Automation (ICRA), 3153-3160, 2024 | 37 | 2024 |
| Robust policy learning over multiple uncertainty sets A Xie, S Sodhani, C Finn, J Pineau, A Zhang International Conference on Machine Learning, 24414-24429, 2022 | 15 | 2022 |
| When to ask for help: Proactive interventions in autonomous reinforcement learning A Xie, F Tajwar, A Sharma, C Finn Advances in Neural Information Processing Systems 35, 16918-16930, 2022 | 14 | 2022 |
| Affordance-guided reinforcement learning via visual prompting OY Lee, A Xie, K Fang, K Pertsch, C Finn arXiv preprint arXiv:2407.10341, 2024 | 4 | 2024 |
| Efficient Data Collection for Robotic Manipulation via Compositional Generalization J Gao, A Xie, T Xiao, C Finn, D Sadigh arXiv preprint arXiv:2403.05110, 2024 | 4 | 2024 |
| In-Context Decision-Making from Supervised Pretraining J Lee, A Xie, A Pacchiano, Y Chandak, C Finn, O Nachum, E Brunskill ICML Workshop on New Frontiers in Learning, Control, and Dynamical Systems, 2023 | 4 | 2023 |
