| 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 | 70 | 2023 |
| Bridgedata v2: A dataset for robot learning at scale HR Walke, K Black, TZ Zhao, Q Vuong, C Zheng, P Hansen-Estruch, ... Conference on Robot Learning, 1723-1736, 2023 | 27 | 2023 |
| Improving lstm neural networks for better short-term wind power predictions M Du 2019 IEEE 2nd International Conference on Renewable Energy and Power …, 2019 | 16 | 2019 |
| Play it by ear: Learning skills amidst occlusion through audio-visual imitation learning M Du, OY Lee, S Nair, C Finn arXiv preprint arXiv:2205.14850, 2022 | 14 | 2022 |
| Behavior retrieval: Few-shot imitation learning by querying unlabeled datasets M Du, S Nair, D Sadigh, C Finn arXiv preprint arXiv:2304.08742, 2023 | 13 | 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 | 10 | 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 | 7 | 2023 |
| Application of autoencoder-assisted recurrent neural networks to prevent cases of sudden infant death syndrome M Du arXiv preprint arXiv:1904.12386, 2019 | 2 | 2019 |
| Looking Under the Hood of DetectGPT M Du, R Lian, K Yang | | |
Chelsea FinnStanford University, GoogleVerified email at cs.stanford.edu
