| Intriguing properties of neural networks C Szegedy, W Zaremba, I Sutskever, J Bruna, D Erhan, I Goodfellow, ... arXiv preprint arXiv:1312.6199, 2013 | 5525 | 2013 |
| Improved techniques for training gans T Salimans, I Goodfellow, W Zaremba, V Cheung, A Radford, X Chen Advances in neural information processing systems, 2234-2242, 2016 | 4091 | 2016 |
| Openai gym G Brockman, V Cheung, L Pettersson, J Schneider, J Schulman, J Tang, ... arXiv preprint arXiv:1606.01540, 2016 | 1894 | 2016 |
| Recurrent neural network regularization W Zaremba, I Sutskever, O Vinyals arXiv preprint arXiv:1409.2329, 2014 | 1733 | 2014 |
| Spectral networks and locally connected networks on graphs J Bruna, W Zaremba, A Szlam, Y LeCun arXiv preprint arXiv:1312.6203, 2013 | 1731 | 2013 |
| An empirical exploration of recurrent network architectures R Jozefowicz, W Zaremba, I Sutskever | 1337 | 2015 |
| Exploiting linear structure within convolutional networks for efficient evaluation EL Denton, W Zaremba, J Bruna, Y LeCun, R Fergus Advances in neural information processing systems, 1269-1277, 2014 | 1072 | 2014 |
| Sequence level training with recurrent neural networks MA Ranzato, S Chopra, M Auli, W Zaremba arXiv preprint arXiv:1511.06732, 2015 | 917 | 2015 |
| 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 | 841 | 2017 |
| Hindsight experience replay M Andrychowicz, F Wolski, A Ray, J Schneider, R Fong, P Welinder, ... Advances in neural information processing systems, 5048-5058, 2017 | 734 | 2017 |
| Addressing the rare word problem in neural machine translation MT Luong, I Sutskever, QV Le, O Vinyals, W Zaremba arXiv preprint arXiv:1410.8206, 2014 | 648 | 2014 |
| Learning to execute W Zaremba, I Sutskever arXiv preprint arXiv:1410.4615, 2014 | 434 | 2014 |
| Learning dexterous in-hand manipulation OpenAI, M Andrychowicz, B Baker, M Chociej, R Jozefowicz, B McGrew, ... arXiv preprint arXiv:1808.00177, 2018 | 408* | 2018 |
| One-shot imitation learning Y Duan, M Andrychowicz, B Stadie, OAIJ Ho, J Schneider, I Sutskever, ... Advances in neural information processing systems, 1087-1098, 2017 | 368 | 2017 |
| Sim-to-real transfer of robotic control with dynamics randomization XB Peng, M Andrychowicz, W Zaremba, P Abbeel 2018 IEEE international conference on robotics and automation (ICRA), 1-8, 2018 | 358 | 2018 |
| Overcoming exploration in reinforcement learning with demonstrations A Nair, B McGrew, M Andrychowicz, W Zaremba, P Abbeel 2018 IEEE International Conference on Robotics and Automation (ICRA), 6292-6299, 2018 | 234 | 2018 |
| Reinforcement learning neural turing machines-revised W Zaremba, I Sutskever arXiv preprint arXiv:1505.00521, 2015 | 225 | 2015 |
| 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 | 144 | 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 | 123 | 2016 |
| Asymmetric actor critic for image-based robot learning L Pinto, M Andrychowicz, P Welinder, W Zaremba, P Abbeel arXiv preprint arXiv:1710.06542, 2017 | 102 | 2017 |
Ilya SutskeverCo-Founder and Chief Scientist of OpenAIVerified email at openai.com
