| Hindsight experience replay M Andrychowicz, F Wolski, A Ray, J Schneider, R Fong, P Welinder, ... Advances in neural information processing systems 30, 2017 | 3122 | 2017 |
| Learning to learn by gradient descent by gradient descent M Andrychowicz, M Denil, S Gomez, MW Hoffman, D Pfau, T Schaul, ... Advances in neural information processing systems 29, 2016 | 2498 | 2016 |
| 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 | 1925 | 2020 |
| 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), 3803-3810, 2018 | 1702 | 2018 |
| Solving rubik's cube with a robot hand I Akkaya, M Andrychowicz, M Chociej, M Litwin, B McGrew, A Petron, ... arXiv preprint arXiv:1910.07113, 2019 | 1267 | 2019 |
| 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 | 999 | 2018 |
| One-shot imitation learning Y Duan, M Andrychowicz, B Stadie, OAI Jonathan Ho, J Schneider, ... Advances in neural information processing systems 30, 2017 | 833 | 2017 |
| Parameter space noise for exploration M Plappert, R Houthooft, P Dhariwal, S Sidor, RY Chen, X Chen, T Asfour, ... arXiv preprint arXiv:1706.01905, 2017 | 787 | 2017 |
| 2024 IEEE International Conference on Robotics and Automation (ICRA) Y Peng, C Chen, G Huang Ieee, 2024 | 708 | 2024 |
| 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 | 637 | 2018 |
| Secure multiparty computations on bitcoin M Andrychowicz, S Dziembowski, D Malinowski, Ł Mazurek Communications of the ACM 59 (4), 76-84, 2016 | 593 | 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 | 417 | 2017 |
| What matters in on-policy reinforcement learning? a large-scale empirical study M Andrychowicz, A Raichuk, P Stańczyk, M Orsini, S Girgin, R Marinier, ... arXiv preprint arXiv:2006.05990, 2020 | 260 | 2020 |
| Deep learning for twelve hour precipitation forecasts L Espeholt, S Agrawal, C Sønderby, M Kumar, J Heek, C Bromberg, ... Nature communications 13 (1), 1-10, 2022 | 245 | 2022 |
| Fair two-party computations via bitcoin deposits M Andrychowicz, S Dziembowski, D Malinowski, Ł Mazurek Financial Cryptography and Data Security: FC 2014 Workshops, BITCOIN and …, 2014 | 220 | 2014 |
| What matters for on-policy deep actor-critic methods? a large-scale study M Andrychowicz, A Raichuk, P Stańczyk, M Orsini, S Girgin, R Marinier, ... International conference on learning representations, 2021 | 211 | 2021 |
| Neural random-access machines K Kurach, M Andrychowicz, I Sutskever arXiv preprint arXiv:1511.06392, 2015 | 191 | 2015 |
| 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 | 190 | 2018 |
| On the malleability of bitcoin transactions M Andrychowicz, S Dziembowski, D Malinowski, Ł Mazurek Financial Cryptography and Data Security: FC 2015 International Workshops …, 2015 | 117 | 2015 |
| Pow-based distributed cryptography with no trusted setup M Andrychowicz, S Dziembowski Annual cryptology conference, 379-399, 2015 | 94 | 2015 |
