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ORCIDWojciech Zaremba
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2020 – today
- 2021
[i27]OpenAI, Matthias Plappert, Raul Sampedro, Tao Xu, Ilge Akkaya, Vineet Kosaraju, Peter Welinder, Ruben D'Sa, Arthur Petron, Henrique Pondé de Oliveira Pinto, Alex Paino, Hyeonwoo Noh, Lilian Weng, Qiming Yuan, Casey Chu, Wojciech Zaremba:
Asymmetric self-play for automatic goal discovery in robotic manipulation. CoRR abs/2101.04882 (2021)- [i26]Diogo Almeida, Clemens Winter, Jie Tang, Wojciech Zaremba:
A Generalizable Approach to Learning Optimizers. CoRR abs/2106.00958 (2021) - [i25]Mark Chen, Jerry Tworek, Heewoo Jun, Qiming Yuan, Henrique Pondé 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, Joshua 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:
Evaluating Large Language Models Trained on Code. CoRR abs/2107.03374 (2021) - 2020
- [j1]Marcin Andrychowicz, Bowen Baker, Maciek Chociej, Rafal Józefowicz, Bob McGrew, Jakub Pachocki, Arthur Petron
, Matthias Plappert, Glenn Powell, Alex Ray, Jonas Schneider, Szymon Sidor, Josh Tobin, Peter Welinder, Lilian Weng, Wojciech Zaremba:
Learning dexterous in-hand manipulation. Int. J. Robotics Res. 39(1) (2020) - [i24]Lei M. Zhang, Matthias Plappert, Wojciech Zaremba:
Predicting Sim-to-Real Transfer with Probabilistic Dynamics Models. CoRR abs/2009.12864 (2020)
2010 – 2019
- 2019
- [c24]Joshua Tobin, Wojciech Zaremba, Pieter Abbeel:
Geometry-Aware Neural Rendering. NeurIPS 2019: 11555-11565 - [i23]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:
Solving Rubik's Cube with a Robot Hand. CoRR abs/1910.07113 (2019) - 2018
- [c23]Xue Bin Peng, Marcin Andrychowicz, Wojciech Zaremba, Pieter Abbeel:
Sim-to-Real Transfer of Robotic Control with Dynamics Randomization. ICRA 2018: 1-8 - [c22]Ashvin Nair, Bob McGrew, Marcin Andrychowicz, Wojciech Zaremba, Pieter Abbeel:
Overcoming Exploration in Reinforcement Learning with Demonstrations. ICRA 2018: 6292-6299 - [c21]Josh Tobin, Lukas Biewald, Rocky Duan, Marcin Andrychowicz, Ankur Handa, Vikash Kumar, Bob McGrew, Alex Ray, Jonas Schneider, Peter Welinder, Wojciech Zaremba, Pieter Abbeel:
Domain Randomization and Generative Models for Robotic Grasping. IROS 2018: 3482-3489 - [c20]Lerrel Pinto, Marcin Andrychowicz, Peter Welinder, Wojciech Zaremba, Pieter Abbeel:
Asymmetric Actor Critic for Image-Based Robot Learning. Robotics: Science and Systems 2018 - [i22]Matthias Plappert, Marcin Andrychowicz, Alex Ray, Bob McGrew, Bowen Baker, Glenn Powell, Jonas Schneider, Josh Tobin, Maciek Chociej, Peter Welinder, Vikash Kumar, Wojciech Zaremba:
Multi-Goal Reinforcement Learning: Challenging Robotics Environments and Request for Research. CoRR abs/1802.09464 (2018) - [i21]OpenAI, Marcin Andrychowicz, Bowen Baker, Maciek Chociej, Rafal Józefowicz, Bob McGrew, Jakub Pachocki, Arthur Petron, Matthias Plappert, Glenn Powell, Alex Ray, Jonas Schneider, Szymon Sidor, Josh Tobin, Peter Welinder, Lilian Weng, Wojciech Zaremba:
Learning Dexterous In-Hand Manipulation. CoRR abs/1808.00177 (2018) - 2017
- [c19]Josh Tobin, Rachel Fong, Alex Ray, Jonas Schneider, Wojciech Zaremba, Pieter Abbeel:
Domain randomization for transferring deep neural networks from simulation to the real world. IROS 2017: 23-30 - [c18]Yan Duan, Marcin Andrychowicz, Bradly C. Stadie, Jonathan Ho, Jonas Schneider, Ilya Sutskever, Pieter Abbeel, Wojciech Zaremba:
One-Shot Imitation Learning. NIPS 2017: 1087-1098 - [c17]Marcin Andrychowicz, Dwight Crow, Alex Ray, Jonas Schneider, Rachel Fong, Peter Welinder, Bob McGrew, Josh Tobin, Pieter Abbeel, Wojciech Zaremba:
Hindsight Experience Replay. NIPS 2017: 5048-5058 - [i20]Joshua Tobin, Rachel Fong, Alex Ray, Jonas Schneider, Wojciech Zaremba, Pieter Abbeel:
Domain Randomization for Transferring Deep Neural Networks from Simulation to the Real World. CoRR abs/1703.06907 (2017) - [i19]Yan Duan, Marcin Andrychowicz, Bradly C. Stadie, Jonathan Ho, Jonas Schneider, Ilya Sutskever, Pieter Abbeel, Wojciech Zaremba:
One-Shot Imitation Learning. CoRR abs/1703.07326 (2017) - [i18]Marcin Andrychowicz, Filip Wolski, Alex Ray, Jonas Schneider, Rachel Fong, Peter Welinder, Bob McGrew, Josh Tobin, Pieter Abbeel, Wojciech Zaremba:
Hindsight Experience Replay. CoRR abs/1707.01495 (2017) - [i17]Ashvin Nair, Bob McGrew, Marcin Andrychowicz, Wojciech Zaremba, Pieter Abbeel:
Overcoming Exploration in Reinforcement Learning with Demonstrations. CoRR abs/1709.10089 (2017) - [i16]Joshua Tobin, Wojciech Zaremba, Pieter Abbeel:
Domain Randomization and Generative Models for Robotic Grasping. CoRR abs/1710.06425 (2017) - [i15]Xue Bin Peng, Marcin Andrychowicz, Wojciech Zaremba, Pieter Abbeel:
Sim-to-Real Transfer of Robotic Control with Dynamics Randomization. CoRR abs/1710.06537 (2017) - [i14]Lerrel Pinto, Marcin Andrychowicz, Peter Welinder, Wojciech Zaremba, Pieter Abbeel:
Asymmetric Actor Critic for Image-Based Robot Learning. CoRR abs/1710.06542 (2017) - 2016
- [b2]Wojciech Zaremba:
Learning Algorithms from Data. New York University, USA, 2016 - [c16]Wojciech Zaremba, Tomás Mikolov, Armand Joulin, Rob Fergus:
Learning Simple Algorithms from Examples. ICML 2016: 421-429 - [c15]Tim Salimans, Ian J. Goodfellow, Wojciech Zaremba, Vicki Cheung, Alec Radford, Xi Chen:
Improved Techniques for Training GANs. NIPS 2016: 2226-2234 - [c14]Wojciech Zaremba, Matthew B. Blaschko:
Discriminative training of CRF models with probably submodular constraints. WACV 2016: 1-7 - [c13]Marc'Aurelio Ranzato, Sumit Chopra, Michael Auli, Wojciech Zaremba:
Sequence Level Training with Recurrent Neural Networks. ICLR (Poster) 2016 - [i13]Greg Brockman, Vicki Cheung, Ludwig Pettersson, Jonas Schneider, John Schulman, Jie Tang, Wojciech Zaremba:
OpenAI Gym. CoRR abs/1606.01540 (2016) - [i12]Tim Salimans, Ian J. Goodfellow, Wojciech Zaremba, Vicki Cheung, Alec Radford, Xi Chen:
Improved Techniques for Training GANs. CoRR abs/1606.03498 (2016) - [i11]Paul F. Christiano, Zain Shah, Igor Mordatch, Jonas Schneider, Trevor Blackwell, Joshua Tobin, Pieter Abbeel, Wojciech Zaremba:
Transfer from Simulation to Real World through Learning Deep Inverse Dynamics Model. CoRR abs/1610.03518 (2016) - [i10]Eric Price, Wojciech Zaremba, Ilya Sutskever:
Extensions and Limitations of the Neural GPU. CoRR abs/1611.00736 (2016) - 2015
- [c12]Thang Luong, Ilya Sutskever, Quoc V. Le, Oriol Vinyals, Wojciech Zaremba:
Addressing the Rare Word Problem in Neural Machine Translation. ACL (1) 2015: 11-19 - [c11]Brenden M. Lake, Wojciech Zaremba, Rob Fergus, Todd M. Gureckis:
Deep Neural Networks Predict Category Typicality Ratings for Images. CogSci 2015 - [c10]Rafal Józefowicz, Wojciech Zaremba, Ilya Sutskever:
An Empirical Exploration of Recurrent Network Architectures. ICML 2015: 2342-2350 - [i9]Wojciech Zaremba, Ilya Sutskever:
Reinforcement Learning Neural Turing Machines. CoRR abs/1505.00521 (2015) - [i8]Soumith Chintala, Marc'Aurelio Ranzato, Arthur Szlam, Yuandong Tian, Mark Tygert, Wojciech Zaremba:
Scale-invariant learning and convolutional networks. CoRR abs/1506.08230 (2015) - [i7]Wojciech Zaremba, Tomás Mikolov, Armand Joulin, Rob Fergus:
Learning Simple Algorithms from Examples. CoRR abs/1511.07275 (2015) - 2014
- [c9]Emily L. Denton, Wojciech Zaremba, Joan Bruna, Yann LeCun, Rob Fergus:
Exploiting Linear Structure Within Convolutional Networks for Efficient Evaluation. NIPS 2014: 1269-1277 - [c8]Wojciech Zaremba, Karol Kurach, Rob Fergus:
Learning to Discover Efficient Mathematical Identities. NIPS 2014: 1278-1286 - [c7]Joan Bruna, Wojciech Zaremba, Arthur Szlam, Yann LeCun:
Spectral Networks and Locally Connected Networks on Graphs. ICLR 2014 - [c6]Christian Szegedy, Wojciech Zaremba, Ilya Sutskever, Joan Bruna, Dumitru Erhan, Ian J. Goodfellow, Rob Fergus:
Intriguing properties of neural networks. ICLR (Poster) 2014 - [i6]Emily Denton, Wojciech Zaremba, Joan Bruna, Yann LeCun, Rob Fergus:
Exploiting Linear Structure Within Convolutional Networks for Efficient Evaluation. CoRR abs/1404.0736 (2014) - [i5]Wojciech Zaremba, Karol Kurach, Rob Fergus:
Learning to Discover Efficient Mathematical Identities. CoRR abs/1406.1584 (2014) - [i4]Wojciech Zaremba, Ilya Sutskever, Oriol Vinyals:
Recurrent Neural Network Regularization. CoRR abs/1409.2329 (2014) - [i3]Wojciech Zaremba, Ilya Sutskever:
Learning to Execute. CoRR abs/1410.4615 (2014) - [i2]Thang Luong, Ilya Sutskever, Quoc V. Le, Oriol Vinyals, Wojciech Zaremba:
Addressing the Rare Word Problem in Neural Machine Translation. CoRR abs/1410.8206 (2014) - 2013
- [c5]Wojciech Zaremba, M. Pawan Kumar, Alexandre Gramfort, Matthew B. Blaschko:
Learning from M/EEG Data with Variable Brain Activation Delays. IPMI 2013: 414-425 - [c4]Wojciech Zaremba, Arthur Gretton, Matthew B. Blaschko:
B-test: A Non-parametric, Low Variance Kernel Two-sample Test. NIPS 2013: 755-763 - [c3]Matthew B. Blaschko, Wojciech Zaremba, Arthur Gretton:
Taxonomic Prediction with Tree-Structured Covariances. ECML/PKDD (2) 2013: 304-319 - [i1]Wojciech Zaremba, Arthur Gretton, Matthew B. Blaschko:
B-test: A Non-parametric, Low Variance Kernel Two-sample Test. CoRR abs/1307.1954 (2013) - 2012
- [b1]Wojciech Zaremba:
Modeling the variability of EEG/MEG data through statistical machine learning. École Polytechnique, Palaiseau, France, 2012 - [c2]Wojciech Zaremba, Yuan Lin, Vinod Grover:
JaBEE: framework for object-oriented Java bytecode compilation and execution on graphics processor units. GPGPU@ASPLOS 2012: 74-83
2000 – 2009
- 2008
- [c1]Slawomir Grzonkowski, Wojciech Zaremba, Maciej Zaremba, Bill McDaniel:
Extending web applications with a lightweight zero knowledge proof authentication. CSTST 2008: 65-70
Coauthor Index
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