| Cog: Connecting new skills to past experience with offline reinforcement learning A Singh, A Yu, J Yang, J Zhang, A Kumar, S Levine arXiv preprint arXiv:2010.14500, 2020 | 97 | 2020 |
| Open x-embodiment: Robotic learning datasets and rt-x models A Padalkar, A Pooley, A Jain, A Bewley, A Herzog, A Irpan, A Khazatsky, ... arXiv preprint arXiv:2310.08864, 2023 | 82 | 2023 |
| Don’t start from scratch: Leveraging prior data to automate robotic reinforcement learning HR Walke, JH Yang, A Yu, A Kumar, J Orbik, A Singh, S Levine Conference on Robot Learning, 1652-1662, 2023 | 24 | 2023 |
| Open X-Embodiment: Robotic learning datasets and RT-X models OXE Collaboration, A Padalkar, A Pooley, A Jain, A Bewley, A Herzog, ... CoRR, 2023 | 12 | 2023 |
| Open x-embodiment: Robotic learning datasets and RT-x models Q Vuong, S Levine, HR Walke, K Pertsch, A Singh, R Doshi, C Xu, J Luo, ... Towards Generalist Robots: Learning Paradigms for Scalable Skill Acquisition …, 2023 | 11 | 2023 |
| Polybot: Training one policy across robots while embracing variability J Yang, D Sadigh, C Finn arXiv preprint arXiv:2307.03719, 2023 | 9 | 2023 |
| Chaining behaviors from data with model-free reinforcement learning A Singh, A Yu, J Yang, J Zhang, A Kumar, S Levine Conference on Robot Learning, 2162-2177, 2021 | 4 | 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 | 2 | 2024 |
| Pushing the Limits of Cross-Embodiment Learning for Manipulation and Navigation J Yang, C Glossop, A Bhorkar, D Shah, Q Vuong, C Finn, D Sadigh, ... arXiv preprint arXiv:2402.19432, 2024 | | 2024 |
Sergey LevineUC Berkeley, Physical IntelligenceVerified email at eecs.berkeley.edu
