| Scalable deep reinforcement learning for vision-based robotic manipulation D Kalashnikov, A Irpan, P Pastor, J Ibarz, A Herzog, E Jang, D Quillen, ... Conference on Robot Learning, 651-673, 2018 | 825 | 2018 |
| Sim-to-real via sim-to-sim: Data-efficient robotic grasping via randomized-to-canonical adaptation networks S James, P Wohlhart, M Kalakrishnan, D Kalashnikov, A Irpan, J Ibarz, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 305 | 2019 |
| Mt-opt: Continuous multi-task robotic reinforcement learning at scale D Kalashnikov, J Varley, Y Chebotar, B Swanson, R Jonschkowski, ... arXiv preprint arXiv:2104.08212, 2021 | 27 | 2021 |
| Actionable models: Unsupervised offline reinforcement learning of robotic skills Y Chebotar, K Hausman, Y Lu, T Xiao, D Kalashnikov, J Varley, A Irpan, ... arXiv preprint arXiv:2104.07749, 2021 | 27 | 2021 |
| Rico Jonschkowski, Chelsea Finn, Sergey Levine, and Karol Hausman. Mt-opt: Continuous multi-task robotic reinforcement learning at scale D Kalashnikov, J Varley, Y Chebotar, B Swanson arXiv preprint arXiv:2104.08212 8, 2021 | 22 | 2021 |
| Thinking while moving: Deep reinforcement learning with concurrent control T Xiao, E Jang, D Kalashnikov, S Levine, J Ibarz, K Hausman, A Herzog arXiv preprint arXiv:2004.06089, 2020 | 18 | 2020 |
| Learning precise 3d manipulation from multiple uncalibrated cameras I Akinola, J Varley, D Kalashnikov 2020 IEEE International Conference on Robotics and Automation (ICRA), 4616-4622, 2020 | 15 | 2020 |
| Do as i can, not as i say: Grounding language in robotic affordances M Ahn, A Brohan, N Brown, Y Chebotar, O Cortes, B David, C Finn, ... arXiv preprint arXiv:2204.01691, 2022 | 12 | 2022 |
| Disentangled planning and control in vision based robotics via reward machines A Camacho, J Varley, D Jain, A Iscen, D Kalashnikov arXiv preprint arXiv:2012.14464, 2020 | 7 | 2020 |
| Reward machines for vision-based robotic manipulation A Camacho, J Varley, A Zeng, D Jain, A Iscen, D Kalashnikov 2021 IEEE International Conference on Robotics and Automation (ICRA), 14284 …, 2021 | 6 | 2021 |
| AW-opt: Learning robotic skills with imitation andreinforcement at scale Y Lu, K Hausman, Y Chebotar, M Yan, E Jang, A Herzog, T Xiao, A Irpan, ... Conference on Robot Learning, 1078-1088, 2022 | 4 | 2022 |
| Hybrid random features K Choromanski, H Chen, H Lin, Y Ma, A Sehanobish, D Jain, MS Ryoo, ... arXiv preprint arXiv:2110.04367, 2021 | 4 | 2021 |
| Aw-opt: Learning robotic skills with imitation and reinforcement at scale Y Lu, K Hausman, Y Chebotar, M Yan, E Jang, A Herzog, T Xiao, A Irpan, ... arXiv e-prints, arXiv: 2111.05424, 2021 | 3 | 2021 |
| Deep reinforcement learning for robotic manipulation D Kalashnikov, A Irpan, PP Sampedro, J Ibarz, A Herzog, E Jang, ... US Patent App. 17/052,679, 2021 | 3 | 2021 |
| Visionary: Vision architecture discovery for robot learning I Akinola, A Angelova, Y Lu, Y Chebotar, D Kalashnikov, J Varley, J Ibarz, ... 2021 IEEE International Conference on Robotics and Automation (ICRA), 10779 …, 2021 | 3 | 2021 |
| Scaling Up Multi-Task Robotic Reinforcement Learning D Kalashnikov, J Varley, Y Chebotar, B Swanson, R Jonschkowski, ... 5th Annual Conference on Robot Learning, 2021 | 2 | 2021 |
| Sgoldstino signal at FASER: prospects in searches for supersymmetry S Demidov, D Gorbunov, D Kalashnikov arXiv preprint arXiv:2202.05190, 2022 | | 2022 |
| Actionable Models: Unsupervised Offline Learning of Robotic Skills A Irpan, B Eysenbach, C Finn, D Kalashnikov, J Varley, K Hausman, ... | | 2021 |
| Search for the rare decays pi (+)-> mu (+) nu (mu) nu (nu) over-bar and pi (+)-> e (+) nu (e) nu (nu) over-bar A Aguilar-Arevalo, M Aoki, M Blecher, D Britton, D vom Bruch, DA Bryman, ... PHYSICAL REVIEW D 102 (1), 2020 | | 2020 |
Sergey LevineUC Berkeley, GoogleVerified email at eecs.berkeley.edu
