| 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 | 2738 | 2018 |
| 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 | 1608 | 2018 |
| Meta-world: A benchmark and evaluation for multi-task and meta reinforcement learning T Yu, D Quillen, Z He, R Julian, K Hausman, C Finn, S Levine Conference on robot learning, 1094-1100, 2020 | 1049 | 2020 |
| Efficient off-policy meta-reinforcement learning via probabilistic context variables K Rakelly, A Zhou, C Finn, S Levine, D Quillen International conference on machine learning, 5331-5340, 2019 | 720 | 2019 |
| 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 | 273 | 2018 |
| 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 | 17 | 2021 |
| Learning hand-eye coordination for robotic grasping with deep learning and large-scale data collection (2016) S Levine, P Pastor, A Krizhevsky, D Quillen arXiv preprint arXiv:1603.02199, 0 | 14 | |
| Models of Ice Skating for the Development of Robotic Ice Skating Gaits D Quillen, S Dean | | 2021 |
