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Implicitly Regularized RL with Implicit Q-Values

Aug 16, 2021
Nino Vieillard, Marcin Andrychowicz, Anton Raichuk, Olivier Pietquin, Matthieu Geist

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What Matters for Adversarial Imitation Learning?

Jun 01, 2021
Manu Orsini, Anton Raichuk, Léonard Hussenot, Damien Vincent, Robert Dadashi, Sertan Girgin, Matthieu Geist, Olivier Bachem, Olivier Pietquin, Marcin Andrychowicz

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Hyperparameter Selection for Imitation Learning

May 25, 2021
Leonard Hussenot, Marcin Andrychowicz, Damien Vincent, Robert Dadashi, Anton Raichuk, Lukasz Stafiniak, Sertan Girgin, Raphael Marinier, Nikola Momchev, Sabela Ramos, Manu Orsini, Olivier Bachem, Matthieu Geist, Olivier Pietquin

* ICML 2021 

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What Matters In On-Policy Reinforcement Learning? A Large-Scale Empirical Study

Jun 10, 2020
Marcin Andrychowicz, Anton Raichuk, Piotr Stańczyk, Manu Orsini, Sertan Girgin, Raphael Marinier, Léonard Hussenot, Matthieu Geist, Olivier Pietquin, Marcin Michalski, Sylvain Gelly, Olivier Bachem

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Solving Rubik's Cube with a Robot Hand

Oct 16, 2019
OpenAI, Ilge Akkaya, Marcin Andrychowicz, Maciek Chociej, Mateusz Litwin, Bob McGrew, Arthur Petron, Alex Paino, Matthias Plappert, Glenn Powell, Raphael Ribas, Jonas Schneider, Nikolas Tezak, Jerry Tworek, Peter Welinder, Lilian Weng, Qiming Yuan, Wojciech Zaremba, Lei Zhang

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Learning Dexterous In-Hand Manipulation

Jan 18, 2019
OpenAI, Marcin Andrychowicz, Bowen Baker, Maciek Chociej, Rafal Jozefowicz, Bob McGrew, Jakub Pachocki, Arthur Petron, Matthias Plappert, Glenn Powell, Alex Ray, Jonas Schneider, Szymon Sidor, Josh Tobin, Peter Welinder, Lilian Weng, Wojciech Zaremba

* Making OpenAI the first author. We wish this paper to be cited as "Learning Dexterous In-Hand Manipulation" by OpenAI et al. We are replicating the approach from the physics community: arXiv:1812.06489 

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Domain Randomization and Generative Models for Robotic Grasping

Apr 03, 2018
Joshua Tobin, Lukas Biewald, Rocky Duan, Marcin Andrychowicz, Ankur Handa, Vikash Kumar, Bob McGrew, Jonas Schneider, Peter Welinder, Wojciech Zaremba, Pieter Abbeel

* 8 pages, 11 figures. Submitted to 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2018) 

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Multi-Goal Reinforcement Learning: Challenging Robotics Environments and Request for Research

Mar 10, 2018
Matthias Plappert, Marcin Andrychowicz, Alex Ray, Bob McGrew, Bowen Baker, Glenn Powell, Jonas Schneider, Josh Tobin, Maciek Chociej, Peter Welinder, Vikash Kumar, Wojciech Zaremba

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Sim-to-Real Transfer of Robotic Control with Dynamics Randomization

Mar 03, 2018
Xue Bin Peng, Marcin Andrychowicz, Wojciech Zaremba, Pieter Abbeel

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Overcoming Exploration in Reinforcement Learning with Demonstrations

Feb 25, 2018
Ashvin Nair, Bob McGrew, Marcin Andrychowicz, Wojciech Zaremba, Pieter Abbeel

* 8 pages, ICRA 2018 

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Hindsight Experience Replay

Feb 23, 2018
Marcin Andrychowicz, Filip Wolski, Alex Ray, Jonas Schneider, Rachel Fong, Peter Welinder, Bob McGrew, Josh Tobin, Pieter Abbeel, Wojciech Zaremba

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Parameter Space Noise for Exploration

Jan 31, 2018
Matthias Plappert, Rein Houthooft, Prafulla Dhariwal, Szymon Sidor, Richard Y. Chen, Xi Chen, Tamim Asfour, Pieter Abbeel, Marcin Andrychowicz

* Updated to camera-ready ICLR submission 

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One-Shot Imitation Learning

Dec 04, 2017
Yan Duan, Marcin Andrychowicz, Bradly C. Stadie, Jonathan Ho, Jonas Schneider, Ilya Sutskever, Pieter Abbeel, Wojciech Zaremba

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Asymmetric Actor Critic for Image-Based Robot Learning

Oct 18, 2017
Lerrel Pinto, Marcin Andrychowicz, Peter Welinder, Wojciech Zaremba, Pieter Abbeel

* Videos of experiments can be found at 

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Learning to learn by gradient descent by gradient descent

Nov 30, 2016
Marcin Andrychowicz, Misha Denil, Sergio Gomez, Matthew W. Hoffman, David Pfau, Tom Schaul, Brendan Shillingford, Nando de Freitas

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Learning Efficient Algorithms with Hierarchical Attentive Memory

Feb 23, 2016
Marcin Andrychowicz, Karol Kurach

* Added soft attention appendix 

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Neural Random-Access Machines

Feb 09, 2016
Karol Kurach, Marcin Andrychowicz, Ilya Sutskever

* ICLR submission, 17 pages, 9 figures, 6 tables (with bibliography and appendix) 

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