| 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 | 370 | 2018 |
| 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 | 358 | 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 | 101 | 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 | 90 | 2019 |
| Deep reinforcement learning amidst continual structured non-stationarity A Xie, J Harrison, C Finn International Conference on Machine Learning, 11393-11403, 2021 | 88* | 2021 |
| Few-shot goal inference for visuomotor learning and planning A Xie, A Singh, S Levine, C Finn Conference on Robot Learning, 40-52, 2018 | 75 | 2018 |
| 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 | 40 | 2020 |
| Lifelong robotic reinforcement learning by retaining experiences A Xie, C Finn Conference on Lifelong Learning Agents, 838-855, 2022 | 28 | 2022 |
| Influencing towards stable multi-agent interactions WZ Wang, A Shih, A Xie, D Sadigh Conference on robot learning, 1132-1143, 2022 | 23 | 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 | 9 | 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 | 8 | 2022 |
| Supervised Pretraining Can Learn In-Context Reinforcement Learning JN Lee, A Xie, A Pacchiano, Y Chandak, C Finn, O Nachum, E Brunskill arXiv preprint arXiv:2306.14892, 2023 | 6 | 2023 |
| Decomposing the generalization gap in imitation learning for visual robotic manipulation A Xie, L Lee, T Xiao, C Finn arXiv preprint arXiv:2307.03659, 2023 | 3 | 2023 |
Chelsea FinnStanford University, GoogleVerified email at cs.stanford.edu
