| Stochastic adversarial video prediction AX Lee, R Zhang, F Ebert, P Abbeel, C Finn, S Levine arXiv preprint arXiv:1804.01523, 2018 | 502 | 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 | 423 | 2018 |
| Bc-z: Zero-shot task generalization with robotic imitation learning E Jang, A Irpan, M Khansari, D Kappler, F Ebert, C Lynch, S Levine, ... Conference on Robot Learning, 991-1002, 2022 | 410 | 2022 |
| Self-Supervised Visual Planning with Temporal Skip Connections. F Ebert, C Finn, AX Lee, S Levine CoRL 12 (16), 23, 2017 | 331 | 2017 |
| Robonet: Large-scale multi-robot learning S Dasari, F Ebert, S Tian, S Nair, B Bucher, K Schmeckpeper, S Singh, ... arXiv preprint arXiv:1910.11215, 2019 | 294 | 2019 |
| Bridge data: Boosting generalization of robotic skills with cross-domain datasets F Ebert, Y Yang, K Schmeckpeper, B Bucher, G Georgakis, K Daniilidis, ... arXiv preprint arXiv:2109.13396, 2021 | 148 | 2021 |
| Manipulation by feel: Touch-based control with deep predictive models S Tian, F Ebert, D Jayaraman, M Mudigonda, C Finn, R Calandra, ... 2019 International Conference on Robotics and Automation (ICRA), 818-824, 2019 | 143 | 2019 |
| Omnitact: A multi-directional high-resolution touch sensor A Padmanabha, F Ebert, S Tian, R Calandra, C Finn, S Levine 2020 IEEE International Conference on Robotics and Automation (ICRA), 618-624, 2020 | 117 | 2020 |
| 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 | 103 | 2019 |
| Time-agnostic prediction: Predicting predictable video frames D Jayaraman, F Ebert, AA Efros, S Levine arXiv preprint arXiv:1808.07784, 2018 | 98 | 2018 |
| Long-horizon visual planning with goal-conditioned hierarchical predictors K Pertsch, O Rybkin, F Ebert, S Zhou, D Jayaraman, C Finn, S Levine Advances in Neural Information Processing Systems 33, 17321-17333, 2020 | 73 | 2020 |
| Robustness via retrying: Closed-loop robotic manipulation with self-supervised learning F Ebert, S Dasari, AX Lee, S Levine, C Finn Conference on robot learning, 983-993, 2018 | 72 | 2018 |
| Model-based visual planning with self-supervised functional distances S Tian, S Nair, F Ebert, S Dasari, B Eysenbach, C Finn, S Levine arXiv preprint arXiv:2012.15373, 2020 | 61 | 2020 |
| Pre-training for robots: Offline rl enables learning new tasks from a handful of trials A Kumar, A Singh, F Ebert, M Nakamoto, Y Yang, C Finn, S Levine arXiv preprint arXiv:2210.05178, 2022 | 57 | 2022 |
| Pre-Training for Robots: Leveraging Diverse Multitask Data via Offline Reinforcement Learning A Kumar, A Singh, F Ebert, Y Yang, C Finn, S Levine | 1 | 2022 |
| Multi-directional high-resolution optical tactile sensors FD Ebert, AA Padmanabha, S Tian, R Calandra, SV Levine US Patent App. 17/723,640, 2023 | | 2023 |
| Large-Scale Real-World Robotic Manipulation Using Diverse Data FD Ebert University of California, Berkeley, 2022 | | 2022 |
| BC-Z: Zero-Shot Task Generalization with Robotic Imitation Learning A Irpan, C Finn, CH Lynch, D Kappler, EV Jang, F Ebert, M Khansari, ... | | 2021 |
| Self-Supervised Learning of Object Motion Through Adversarial Video Prediction AX Lee, F Ebert, R Zhang, C Finn, P Abbeel, S Levine | | 2018 |
| Pre-Training for Robots: Leveraging Diverse Multitask Data via Offline Reinforcement Learning A Singh, A Kumar, F Ebert, Y Yang, C Finn, S Levine Deep Reinforcement Learning Workshop NeurIPS 2022, 0 | | |
