| Solar: Deep structured representations for model-based reinforcement learning M Zhang, S Vikram, L Smith, P Abbeel, M Johnson, S Levine International conference on machine learning, 7444-7453, 2019 | 221 | 2019 |
| Avid: Learning multi-stage tasks via pixel-level translation of human videos L Smith, N Dhawan, M Zhang, P Abbeel, S Levine arXiv preprint arXiv:1912.04443, 2019 | 77 | 2019 |
| Pebble: Feedback-efficient interactive reinforcement learning via relabeling experience and unsupervised pre-training K Lee, L Smith, P Abbeel arXiv preprint arXiv:2106.05091, 2021 | 48 | 2021 |
| Legged robots that keep on learning: Fine-tuning locomotion policies in the real world L Smith, JC Kew, XB Peng, S Ha, J Tan, S Levine 2022 International Conference on Robotics and Automation (ICRA), 1593-1599, 2022 | 23 | 2022 |
| B-pref: Benchmarking preference-based reinforcement learning K Lee, L Smith, A Dragan, P Abbeel arXiv preprint arXiv:2111.03026, 2021 | 21 | 2021 |
| Offline meta-reinforcement learning with online self-supervision VH Pong, AV Nair, LM Smith, C Huang, S Levine International Conference on Machine Learning, 17811-17829, 2022 | 18 | 2022 |
