| Open x-embodiment: Robotic learning datasets and rt-x models JJ Lim IEEE International Conference on Robotics and Automation, 2024 | 511* | 2024 |
| 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 | 448 | 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 | 423 | 2018 |
| 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 | 148 | 2021 |
| 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 | 139 | 2024 |
| 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 |
| Few-shot goal inference for visuomotor learning and planning A Xie, A Singh, S Levine, C Finn Conference on Robot Learning, 40-52, 2018 | 89 | 2018 |
| 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 | 86 | 2024 |
| Deep reinforcement learning amidst lifelong non-stationarity A Xie, J Harrison, C Finn arXiv preprint arXiv:2006.10701, 2020 | 80 | 2020 |
| 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, 43057-43083, 2023 | 77 | 2023 |
| 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 | 60 | 2020 |
| 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 | 50 | 2024 |
| Lifelong robotic reinforcement learning by retaining experiences A Xie, C Finn Conference on Lifelong Learning Agents, 838-855, 2022 | 44 | 2022 |
| Deep reinforcement learning amidst continual structured non-stationarity A Xie, J Harrison, C Finn International Conference on Machine Learning, 11393-11403, 2021 | 42 | 2021 |
| Influencing towards stable multi-agent interactions WZ Wang, A Shih, A Xie, D Sadigh Conference on robot learning, 1132-1143, 2022 | 40 | 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 | 17 | 2022 |
| 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 | 17 | 2022 |
| 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 | 11 | 2024 |
| Bidirectional Decoding: Improving Action Chunking via Closed-Loop Resampling Y Liu, JI Hamid, A Xie, Y Lee, M Du, C Finn arXiv preprint arXiv:2408.17355, 2024 | 5 | 2024 |
| Affordance-guided reinforcement learning via visual prompting OY Lee, A Xie, K Fang, K Pertsch, C Finn arXiv preprint arXiv:2407.10341, 2024 | 5 | 2024 |