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Evaluating Large Language Models Trained on Code


Jul 14, 2021
Mark Chen, Jerry Tworek, Heewoo Jun, Qiming Yuan, Henrique Ponde de Oliveira Pinto, Jared Kaplan, Harri Edwards, Yuri Burda, Nicholas Joseph, Greg Brockman, Alex Ray, Raul Puri, Gretchen Krueger, Michael Petrov, Heidy Khlaaf, Girish Sastry, Pamela Mishkin, Brooke Chan, Scott Gray, Nick Ryder, Mikhail Pavlov, Alethea Power, Lukasz Kaiser, Mohammad Bavarian, Clemens Winter, Philippe Tillet, Felipe Petroski Such, Dave Cummings, Matthias Plappert, Fotios Chantzis, Elizabeth Barnes, Ariel Herbert-Voss, William Hebgen Guss, Alex Nichol, Alex Paino, Nikolas Tezak, Jie Tang, Igor Babuschkin, Suchir Balaji, Shantanu Jain, William Saunders, Christopher Hesse, Andrew N. Carr, Jan Leike, Josh Achiam, Vedant Misra, Evan Morikawa, Alec Radford, Matthew Knight, Miles Brundage, Mira Murati, Katie Mayer, Peter Welinder, Bob McGrew, Dario Amodei, Sam McCandlish, Ilya Sutskever, Wojciech Zaremba

* corrected typos, added references, added authors, added acknowledgements 

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A Generalizable Approach to Learning Optimizers


Jun 07, 2021
Diogo Almeida, Clemens Winter, Jie Tang, Wojciech Zaremba


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Asymmetric self-play for automatic goal discovery in robotic manipulation


Jan 13, 2021
OpenAI OpenAI, Matthias Plappert, Raul Sampedro, Tao Xu, Ilge Akkaya, Vineet Kosaraju, Peter Welinder, Ruben D'Sa, Arthur Petron, Henrique Ponde de Oliveira Pinto, Alex Paino, Hyeonwoo Noh, Lilian Weng, Qiming Yuan, Casey Chu, Wojciech Zaremba

* Videos are shown at https://robotics-self-play.github.io 

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Predicting Sim-to-Real Transfer with Probabilistic Dynamics Models


Sep 27, 2020
Lei M. Zhang, Matthias Plappert, Wojciech Zaremba


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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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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 http://www.goo.gl/b57WTs 

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Domain Randomization for Transferring Deep Neural Networks from Simulation to the Real World


Mar 20, 2017
Josh Tobin, Rachel Fong, Alex Ray, Jonas Schneider, Wojciech Zaremba, Pieter Abbeel

* 8 pages, 7 figures. Submitted to 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2017) 

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Extensions and Limitations of the Neural GPU


Nov 04, 2016
Eric Price, Wojciech Zaremba, Ilya Sutskever


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Transfer from Simulation to Real World through Learning Deep Inverse Dynamics Model


Oct 11, 2016
Paul Christiano, Zain Shah, Igor Mordatch, Jonas Schneider, Trevor Blackwell, Joshua Tobin, Pieter Abbeel, Wojciech Zaremba


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Improved Techniques for Training GANs


Jun 10, 2016
Tim Salimans, Ian Goodfellow, Wojciech Zaremba, Vicki Cheung, Alec Radford, Xi Chen


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OpenAI Gym


Jun 05, 2016
Greg Brockman, Vicki Cheung, Ludwig Pettersson, Jonas Schneider, John Schulman, Jie Tang, Wojciech Zaremba


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Sequence Level Training with Recurrent Neural Networks


May 06, 2016
Marc'Aurelio Ranzato, Sumit Chopra, Michael Auli, Wojciech Zaremba


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Convolutional networks and learning invariant to homogeneous multiplicative scalings


Feb 16, 2016
Mark Tygert, Arthur Szlam, Soumith Chintala, Marc'Aurelio Ranzato, Yuandong Tian, Wojciech Zaremba

* Appl. Comput. Harmon. Anal., 42 (1): 154-166, 2017 
* 12 pages, 6 figures, 4 tables 

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Reinforcement Learning Neural Turing Machines - Revised


Jan 12, 2016
Wojciech Zaremba, Ilya Sutskever


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Learning Simple Algorithms from Examples


Nov 24, 2015
Wojciech Zaremba, Tomas Mikolov, Armand Joulin, Rob Fergus


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Addressing the Rare Word Problem in Neural Machine Translation


May 30, 2015
Minh-Thang Luong, Ilya Sutskever, Quoc V. Le, Oriol Vinyals, Wojciech Zaremba

* ACL 2015 camera-ready version 

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Learning to Execute


Feb 19, 2015
Wojciech Zaremba, Ilya Sutskever


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Recurrent Neural Network Regularization


Feb 19, 2015
Wojciech Zaremba, Ilya Sutskever, Oriol Vinyals


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Learning to Discover Efficient Mathematical Identities


Nov 06, 2014
Wojciech Zaremba, Karol Kurach, Rob Fergus


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Exploiting Linear Structure Within Convolutional Networks for Efficient Evaluation


Jun 09, 2014
Emily Denton, Wojciech Zaremba, Joan Bruna, Yann LeCun, Rob Fergus


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