| In-datacenter performance analysis of a tensor processing unit NP Jouppi, C Young, N Patil, D Patterson, G Agrawal, R Bajwa, S Bates, ... Proceedings of the 44th annual international symposium on computer …, 2017 | 4825 | 2017 |
| Learning hand-eye coordination for robotic grasping with deep learning and large-scale data collection S Levine, P Pastor, A Krizhevsky, J Ibarz, D Quillen The International journal of robotics research 37 (4-5), 421-436, 2018 | 2452 | 2018 |
| Diversity is all you need: Learning skills without a reward function B Eysenbach, A Gupta, J Ibarz, S Levine arXiv preprint arXiv:1802.06070, 2018 | 943 | 2018 |
| Multi-digit number recognition from street view imagery using deep convolutional neural networks IJ Goodfellow, Y Bulatov, J Ibarz, S Arnoud, V Shet arXiv preprint arXiv:1312.6082, 2013 | 878 | 2013 |
| Qt-opt: Scalable deep reinforcement learning for vision-based robotic manipulation D Kalashnikov, A Irpan, P Pastor, J Ibarz, A Herzog, E Jang, D Quillen, ... arXiv preprint arXiv:1806.10293, 2018 | 784 | 2018 |
| Using simulation and domain adaptation to improve efficiency of deep robotic grasping K Bousmalis, A Irpan, P Wohlhart, Y Bai, M Kelcey, M Kalakrishnan, ... 2018 IEEE international conference on robotics and automation (ICRA), 4243-4250, 2018 | 683 | 2018 |
| Do as i can, not as i say: Grounding language in robotic affordances A Brohan, Y Chebotar, C Finn, K Hausman, A Herzog, D Ho, J Ibarz, ... Conference on Robot Learning, 287-318, 2023 | 670* | 2023 |
| 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 | 568 | 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 | 456 | 2019 |
| How to train your robot with deep reinforcement learning: lessons we have learned J Ibarz, J Tan, C Finn, M Kalakrishnan, P Pastor, S Levine The International Journal of Robotics Research 40 (4-5), 698-721, 2021 | 377 | 2021 |
| Deep reinforcement learning for vision-based robotic grasping: A simulated comparative evaluation of off-policy methods D Quillen, E Jang, O Nachum, C Finn, J Ibarz, S Levine 2018 IEEE International Conference on Robotics and Automation (ICRA), 6284-6291, 2018 | 234 | 2018 |
| Rt-1: Robotics transformer for real-world control at scale A Brohan, N Brown, J Carbajal, Y Chebotar, J Dabis, C Finn, ... arXiv preprint arXiv:2212.06817, 2022 | 226 | 2022 |
| Attention-based extraction of structured information from street view imagery Z Wojna, AN Gorban, DS Lee, K Murphy, Q Yu, Y Li, J Ibarz 2017 14th IAPR international conference on document analysis and recognition …, 2017 | 187 | 2017 |
| Recovery rl: Safe reinforcement learning with learned recovery zones B Thananjeyan, A Balakrishna, S Nair, M Luo, K Srinivasan, M Hwang, ... IEEE Robotics and Automation Letters 6 (3), 4915-4922, 2021 | 162 | 2021 |
| Rl-cyclegan: Reinforcement learning aware simulation-to-real K Rao, C Harris, A Irpan, S Levine, J Ibarz, M Khansari Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 160 | 2020 |
| Leave no trace: Learning to reset for safe and autonomous reinforcement learning B Eysenbach, S Gu, J Ibarz, S Levine arXiv preprint arXiv:1711.06782, 2017 | 139 | 2017 |
| Discrete sequential prediction of continuous actions for deep rl L Metz, J Ibarz, N Jaitly, J Davidson arXiv preprint arXiv:1705.05035, 2017 | 100 | 2017 |
| End-to-end learning of semantic grasping E Jang, S Vijayanarasimhan, P Pastor, J Ibarz, S Levine arXiv preprint arXiv:1707.01932, 2017 | 97 | 2017 |
| End-to-end interpretation of the french street name signs dataset R Smith, C Gu, DS Lee, H Hu, R Unnikrishnan, J Ibarz, S Arnoud, S Lin Computer Vision–ECCV 2016 Workshops: Amsterdam, The Netherlands, October 8 …, 2016 | 49 | 2016 |
| Off-policy evaluation via off-policy classification A Irpan, K Rao, K Bousmalis, C Harris, J Ibarz, S Levine Advances in Neural Information Processing Systems 32, 2019 | 47 | 2019 |
Sergey LevineUC Berkeley, GoogleVerified email at eecs.berkeley.edu
