| Domain randomization for transferring deep neural networks from simulation to the real world J Tobin, R Fong, A Ray, J Schneider, W Zaremba, P Abbeel 2017 IEEE/RSJ international conference on intelligent robots and systems …, 2017 | 3592 | 2017 |
| Hindsight experience replay M Andrychowicz, F Wolski, A Ray, J Schneider, R Fong, P Welinder, ... Advances in neural information processing systems 30, 2017 | 3063 | 2017 |
| Learning dexterous in-hand manipulation OAIM Andrychowicz, B Baker, M Chociej, R Jozefowicz, B McGrew, ... The International Journal of Robotics Research 39 (1), 3-20, 2020 | 1892 | 2020 |
| Multi-goal reinforcement learning: Challenging robotics environments and request for research M Plappert, M Andrychowicz, A Ray, B McGrew, B Baker, G Powell, ... arXiv preprint arXiv:1802.09464, 2018 | 611 | 2018 |
| Transfer from simulation to real world through learning deep inverse dynamics model P Christiano, Z Shah, I Mordatch, J Schneider, T Blackwell, J Tobin, ... arXiv preprint arXiv:1610.03518, 2016 | 275 | 2016 |
| Domain randomization and generative models for robotic grasping J Tobin, L Biewald, R Duan, M Andrychowicz, A Handa, V Kumar, ... 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2018 | 191 | 2018 |
| Geometry-aware neural rendering J Tobin, W Zaremba, P Abbeel Advances in Neural Information Processing Systems 32, 2019 | 20 | 2019 |
| DCF: an efficient and robust density-based clustering method J Tobin, M Zhang 2021 IEEE International Conference on Data Mining (ICDM), 629-638, 2021 | 16 | 2021 |
| IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) J Tobin, R Fong, A Ray, J Schneider, W Zaremba, P Abbeel | 15 | 2017 |
| Flow cone sand tests RE Tobin Journal Proceedings 75 (1), 1-12, 1978 | 15* | 1978 |
| Real-world robotic perception and control using synthetic data JP Tobin University of California, Berkeley, 2019 | 14 | 2019 |
| Troubleshooting deep neural networks J Tobin, S Karayev, P Abbeel | 8 | 2021 |
| Hindsight experience replay J Tobin, P Abbeel, W Zaremba Advances in, 2017 | 8 | 2017 |
| W. Zaremba und P. Abbeel,„Domain randomization for transferring deep neural networks from simulation to the real world,“in 2017 IEEE J Tobin, R Fong, A Ray, J Schneider RSJ International Conference on Intelligent Robots and Systems (IROS), 23-30, 2017 | 7 | 2017 |
| Transfer from simulation to real world through learning deep inverse dynamics model. arXiv P Christiano, Z Shah, I Mordatch, J Schneider, T Blackwell, J Tobin, ... arXiv preprint arXiv:1610.03518, 2016 | 6 | 2016 |
| Transfer from simulation to real world through learning deep inverse dynamics model. arXiv preprint, page P Christiano, Z Shah, I Mordatch, J Schneider, T Blackwell, J Tobin, ... arXiv preprint arXiv:1610.03518 5 (5.7), 2016 | 6 | 2016 |
| Transfer from simulation to real world through learning deep inverse dynamics model (2016) P Christiano, Z Shah, I Mordatch, J Schneider, T Blackwell, J Tobin, ... arXiv preprint arXiv:1610.03518, 0 | 5 | |
| Domain randomization for transferring deep neural networks from simulation to the real world. In2017 IEEE/RSJ international conference on intelligent robots and systems (IROS … J Tobin, R Fong, A Ray, J Schneider, W Zaremba, P Abbeel IEEE, 0 | 4 | |
| Reinforced EM Algorithm for Clustering with Gaussian Mixture Models J Tobin, CP Ho, M Zhang Proceedings of the 2023 SIAM International Conference on Data Mining (SDM …, 2023 | 2 | 2023 |
| Co-Clustering Multi-View Data Using the Latent Block Model J Tobin, M Black, J Ng, D Rankin, J Wallace, C Hughes, L Hoey, A Moore, ... arXiv preprint arXiv:2401.04693, 2024 | 1 | 2024 |
