| Training diffusion models with reinforcement learning K Black, M Janner, Y Du, I Kostrikov, S Levine arXiv preprint arXiv:2305.13301, 2023 | 91* | 2023 |
| Vint: A foundation model for visual navigation D Shah, A Sridhar, N Dashora, K Stachowicz, K Black, N Hirose, S Levine arXiv preprint arXiv:2306.14846, 2023 | 44 | 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 | 40* | 2023 |
| Real-time, flight-ready, non-cooperative spacecraft pose estimation using monocular imagery K Black, S Shankar, D Fonseka, J Deutsch, A Dhir, MR Akella arXiv preprint arXiv:2101.09553, 2021 | 39 | 2021 |
| Octo: An open-source generalist robot policy OM Team, D Ghosh, H Walke, K Pertsch, K Black, O Mees, S Dasari, ... | 25 | 2023 |
| Zero-shot robotic manipulation with pretrained image-editing diffusion models K Black, M Nakamoto, P Atreya, H Walke, C Finn, A Kumar, S Levine arXiv preprint arXiv:2310.10639, 2023 | 17 | 2023 |
| Real-time image-based relative pose estimation and filtering for spacecraft applications S Kaki, J Deutsch, K Black, A Cura-Portillo, BA Jones, MR Akella Journal of Aerospace Information Systems 20 (6), 290-307, 2023 | 8 | 2023 |
| A Pipeline for Vision-Based On-Orbit Proximity Operations Using Deep Learning and Synthetic Imagery C Schubert, K Black, D Fonseka, A Dhir, J Deutsch, N Dhamani, G Martin, ... 2021 IEEE Aerospace Conference (50100), 1-15, 2021 | 6 | 2021 |
| Fine-Tuning of Continuous-Time Diffusion Models as Entropy-Regularized Control M Uehara, Y Zhao, K Black, E Hajiramezanali, G Scalia, NL Diamant, ... arXiv preprint arXiv:2402.15194, 2024 | 4 | 2024 |
| Granger-Causal Hierarchical Skill Discovery C Chuck, K Black, A Arjun, Y Zhu, S Niekum arXiv preprint arXiv:2306.09509, 2023 | 3 | 2023 |
| 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 |
| Feedback Efficient Online Fine-Tuning of Diffusion Models M Uehara, Y Zhao, K Black, E Hajiramezanali, G Scalia, NL Diamant, ... arXiv preprint arXiv:2402.16359, 2024 | 1 | 2024 |
| Learning Action-based Representations Using Invariance M Rudolph, C Chuck, K Black, M Lvovsky, S Niekum, A Zhang arXiv preprint arXiv:2403.16369, 2024 | | 2024 |
| Granger Causal Interaction Skill Chains C Chuck, K Black, A Arjun, Y Zhu, S Niekum Transactions on Machine Learning Research, 0 | | |
Sergey LevineUC Berkeley, Physical IntelligenceVerified email at eecs.berkeley.edu
