Hindsight experience replay M Andrychowicz, F Wolski, A Ray, J Schneider, R Fong, P Welinder, ... Advances in neural information processing systems 30, 2017 | 2889 | 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 | 2365 | 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 | 1765 | 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 | 1566 | 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 | 1170 | 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 | 927 | 2018 |
One-shot imitation learning Y Duan, M Andrychowicz, B Stadie, OAI Jonathan Ho, J Schneider, ... Advances in neural information processing systems 30, 2017 | 802 | 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 | 741 | 2017 |
Secure multiparty computations on bitcoin M Andrychowicz, S Dziembowski, D Malinowski, Ł Mazurek Communications of the ACM 59 (4), 76-84, 2016 | 589 | 2016 |
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 | 569 | 2018 |
2018 IEEE international conference on robotics and automation (ICRA) XB Peng, M Andrychowicz, W Zaremba, P Abbeel Ieee, 2018 | 376 | 2018 |
Asymmetric actor critic for image-based robot learning L Pinto, M Andrychowicz, P Welinder, W Zaremba, P Abbeel arXiv preprint arXiv:1710.06542, 2017 | 366 | 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 | 226 | 2020 |
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 | 214 | 2014 |
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 | 202 | 2022 |
Neural random-access machines K Kurach, M Andrychowicz, I Sutskever arXiv preprint arXiv:1511.06392, 2015 | 192 | 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 | 183 | 2018 |
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 | 177 | 2021 |
On the malleability of bitcoin transactions M Andrychowicz, S Dziembowski, D Malinowski, Ł Mazurek Financial Cryptography and Data Security: FC 2015 International Workshops …, 2015 | 114 | 2015 |
Pow-based distributed cryptography with no trusted setup M Andrychowicz, S Dziembowski Advances in Cryptology--CRYPTO 2015: 35th Annual Cryptology Conference …, 2015 | 94 | 2015 |