| 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 | 313 | 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 | 304 | 2021 |
| 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 | 168 | 2019 |
| Efficient online reinforcement learning with offline data PJ Ball, L Smith, I Kostrikov, S Levine International Conference on Machine Learning, 1577-1594, 2023 | 157 | 2023 |
| B-pref: Benchmarking preference-based reinforcement learning K Lee, L Smith, A Dragan, P Abbeel arXiv preprint arXiv:2111.03026, 2021 | 127 | 2021 |
| Demonstrating a walk in the park: Learning to walk in 20 minutes with model-free reinforcement learning L Smith, I Kostrikov, S Levine Robotics: Science and Systems (RSS) Demo 2 (3), 4, 2023 | 126* | 2023 |
| 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 | 122 | 2022 |
| 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 | 83 | 2022 |
| Learning and adapting agile locomotion skills by transferring experience L Smith, JC Kew, T Li, L Luu, XB Peng, S Ha, J Tan, S Levine arXiv preprint arXiv:2304.09834, 2023 | 56 | 2023 |
| Robopianist: Dexterous piano playing with deep reinforcement learning K Zakka, P Wu, L Smith, N Gileadi, T Howell, XB Peng, S Singh, Y Tassa, ... arXiv preprint arXiv:2304.04150, 2023 | 46* | 2023 |
| Grow your limits: Continuous improvement with real-world rl for robotic locomotion L Smith, Y Cao, S Levine 2024 IEEE International Conference on Robotics and Automation (ICRA), 10829 …, 2024 | 15 | 2024 |
| Commonsense reasoning for legged robot adaptation with vision-language models AS Chen, AM Lessing, A Tang, G Chada, L Smith, S Levine, C Finn arXiv preprint arXiv:2407.02666, 2024 | 10 | 2024 |
| Adapt On-the-Go: Behavior Modulation for Single-Life Robot Deployment AS Chen, G Chada, L Smith, A Sharma, Z Fu, S Levine, C Finn arXiv preprint arXiv:2311.01059, 2023 | 6 | 2023 |
| D5rl: Diverse datasets for data-driven deep reinforcement learning R Rafailov, K Hatch, A Singh, L Smith, A Kumar, I Kostrikov, ... arXiv preprint arXiv:2408.08441, 2024 | 4 | 2024 |
| Language Guided Skill Discovery S Rho, L Smith, T Li, S Levine, XB Peng, S Ha arXiv preprint arXiv:2406.06615, 2024 | 4 | 2024 |
| Rt-affordance: Affordances are versatile intermediate representations for robot manipulation S Nasiriany, S Kirmani, T Ding, L Smith, Y Zhu, D Driess, D Sadigh, T Xiao arXiv preprint arXiv:2411.02704, 2024 | 3 | 2024 |
| STEER: Flexible Robotic Manipulation via Dense Language Grounding L Smith, A Irpan, MG Arenas, S Kirmani, D Kalashnikov, D Shah, T Xiao arXiv preprint arXiv:2411.03409, 2024 | | 2024 |
| Traversability-Aware Legged Navigation by Learning from Real-World Visual Data H Zhang, Z Li, X Zeng, L Smith, K Stachowicz, D Shah, L Yue, Z Song, ... arXiv preprint arXiv:2410.10621, 2024 | | 2024 |
| HiLMa-Res: A General Hierarchical Framework via Residual RL for Combining Quadrupedal Locomotion and Manipulation X Huang, Q Liao, Y Ni, Z Li, L Smith, S Levine, XB Peng, K Sreenath 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2024 | | 2024 |