Wojciech Zaremba

Publication Activity (10 Years)

Years Active: 2008-2021
Publications (10 Years): 31

Top Topics

Reinforcement Learning

Generative Model

Exploration Exploitation Tradeoff

Top Venues

Publications

Diogo Almeida, Clemens Winter, Jie Tang, Wojciech Zaremba
A Generalizable Approach to Learning Optimizers. CoRR (2021)
Mark Chen, Jerry Tworek, Heewoo Jun, Qiming Yuan, Henrique Ponde de Oliveira Pinto, Jared Kaplan, Harrison 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 (2021)
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
Asymmetric self-play for automatic goal discovery in robotic manipulation. CoRR (2021)
Marcin Andrychowicz, Bowen Baker, Maciek Chociej, Rafal Józefowicz, Bob McGrew, Jakub W. 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)
Lei M. Zhang, Matthias Plappert, Wojciech Zaremba
Predicting Sim-to-Real Transfer with Probabilistic Dynamics Models. CoRR (2020)
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 (2019)
Joshua Tobin, Wojciech Zaremba, Pieter Abbeel
Geometry-Aware Neural Rendering. NeurIPS (2019)
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)
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 (2018)
Lerrel Pinto, Marcin Andrychowicz, Peter Welinder, Wojciech Zaremba, Pieter Abbeel
Asymmetric Actor Critic for Image-Based Robot Learning. Robotics: Science and Systems (2018)
OpenAI, Marcin Andrychowicz, Bowen Baker, Maciek Chociej, Rafal Józefowicz, Bob McGrew, Jakub W. Pachocki, 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 (2018)
Ashvin Nair, Bob McGrew, Marcin Andrychowicz, Wojciech Zaremba, Pieter Abbeel
Overcoming Exploration in Reinforcement Learning with Demonstrations. ICRA (2018)
Xue Bin Peng, Marcin Andrychowicz, Wojciech Zaremba, Pieter Abbeel
Sim-to-Real Transfer of Robotic Control with Dynamics Randomization. ICRA (2018)
Yan Duan, Marcin Andrychowicz, Bradly C. Stadie, Jonathan Ho, Jonas Schneider, Ilya Sutskever, Pieter Abbeel, Wojciech Zaremba
One-Shot Imitation Learning. NIPS (2017)
Xue Bin Peng, Marcin Andrychowicz, Wojciech Zaremba, Pieter Abbeel
Sim-to-Real Transfer of Robotic Control with Dynamics Randomization. CoRR (2017)
Lerrel Pinto, Marcin Andrychowicz, Peter Welinder, Wojciech Zaremba, Pieter Abbeel
Asymmetric Actor Critic for Image-Based Robot Learning. CoRR (2017)
Ashvin Nair, Bob McGrew, Marcin Andrychowicz, Wojciech Zaremba, Pieter Abbeel
Overcoming Exploration in Reinforcement Learning with Demonstrations. CoRR (2017)
Marcin Andrychowicz, Filip Wolski, Alex Ray, Jonas Schneider, Rachel Fong, Peter Welinder, Bob McGrew, Josh Tobin, Pieter Abbeel, Wojciech Zaremba
Hindsight Experience Replay. CoRR (2017)
Joshua Tobin, Wojciech Zaremba, Pieter Abbeel
Domain Randomization and Generative Models for Robotic Grasping. CoRR (2017)
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)
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)
Yan Duan, Marcin Andrychowicz, Bradly C. Stadie, Jonathan Ho, Jonas Schneider, Ilya Sutskever, Pieter Abbeel, Wojciech Zaremba
One-Shot Imitation Learning. CoRR (2017)
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 (2017)
Tim Salimans, Ian J. Goodfellow, Wojciech Zaremba, Vicki Cheung, Alec Radford, Xi Chen
Improved Techniques for Training GANs. CoRR (2016)
Greg Brockman, Vicki Cheung, Ludwig Pettersson, Jonas Schneider, John Schulman, Jie Tang, Wojciech Zaremba
OpenAI Gym. CoRR (2016)
Marc'Aurelio Ranzato, Sumit Chopra, Michael Auli, Wojciech Zaremba
Sequence Level Training with Recurrent Neural Networks. ICLR (Poster) (2016)
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 (2016)
Wojciech Zaremba, Tomás Mikolov, Armand Joulin, Rob Fergus
Learning Simple Algorithms from Examples. ICML (2016)
Eric Price, Wojciech Zaremba, Ilya Sutskever
Extensions and Limitations of the Neural GPU. CoRR (2016)
Tim Salimans, Ian J. Goodfellow, Wojciech Zaremba, Vicki Cheung, Alec Radford, Xi Chen
Improved Techniques for Training GANs. NIPS (2016)
Wojciech Zaremba, Matthew B. Blaschko
Discriminative training of CRF models with probably submodular constraints. WACV (2016)
Rafal Józefowicz, Wojciech Zaremba, Ilya Sutskever
An Empirical Exploration of Recurrent Network Architectures. ICML (2015)
Soumith Chintala, Marc'Aurelio Ranzato, Arthur Szlam, Yuandong Tian, Mark Tygert, Wojciech Zaremba
Scale-invariant learning and convolutional networks. CoRR (2015)
Wojciech Zaremba, Tomás Mikolov, Armand Joulin, Rob Fergus
Learning Simple Algorithms from Examples. CoRR (2015)
Wojciech Zaremba, Ilya Sutskever
Reinforcement Learning Neural Turing Machines. CoRR (2015)
Brenden M. Lake, Wojciech Zaremba, Rob Fergus, Todd M. Gureckis
Deep Neural Networks Predict Category Typicality Ratings for Images. CogSci (2015)
Thang Luong, Ilya Sutskever, Quoc V. Le, Oriol Vinyals, Wojciech Zaremba
Addressing the Rare Word Problem in Neural Machine Translation. ACL (1) (2015)
Emily L. Denton, Wojciech Zaremba, Joan Bruna, Yann LeCun, Rob Fergus
Exploiting Linear Structure Within Convolutional Networks for Efficient Evaluation. NIPS (2014)
Thang Luong, Ilya Sutskever, Quoc V. Le, Oriol Vinyals, Wojciech Zaremba
Addressing the Rare Word Problem in Neural Machine Translation. CoRR (2014)
Wojciech Zaremba, Karol Kurach, Rob Fergus
Learning to Discover Efficient Mathematical Identities. CoRR (2014)
Emily Denton, Wojciech Zaremba, Joan Bruna, Yann LeCun, Rob Fergus
Exploiting Linear Structure Within Convolutional Networks for Efficient Evaluation. CoRR (2014)
Wojciech Zaremba, Karol Kurach, Rob Fergus
Learning to Discover Efficient Mathematical Identities. NIPS (2014)
Wojciech Zaremba, Ilya Sutskever
Learning to Execute. CoRR (2014)
Joan Bruna, Wojciech Zaremba, Arthur Szlam, Yann LeCun
Spectral Networks and Locally Connected Networks on Graphs. ICLR (2014)
Wojciech Zaremba, Ilya Sutskever, Oriol Vinyals
Recurrent Neural Network Regularization. CoRR (2014)
Christian Szegedy, Wojciech Zaremba, Ilya Sutskever, Joan Bruna, Dumitru Erhan, Ian J. Goodfellow, Rob Fergus
Intriguing properties of neural networks. ICLR (Poster) (2014)
Wojciech Zaremba, M. Pawan Kumar, Alexandre Gramfort, Matthew B. Blaschko
Learning from M/EEG Data with Variable Brain Activation Delays. IPMI (2013)
Wojciech Zaremba, Arthur Gretton, Matthew B. Blaschko
B-test: A Non-parametric, Low Variance Kernel Two-sample Test. NIPS (2013)
Wojciech Zaremba, Arthur Gretton, Matthew B. Blaschko
B-test: A Non-parametric, Low Variance Kernel Two-sample Test. CoRR (2013)
Matthew B. Blaschko, Wojciech Zaremba, Arthur Gretton
Taxonomic Prediction with Tree-Structured Covariances. ECML/PKDD (2) (2013)
Wojciech Zaremba, Yuan Lin, Vinod Grover
JaBEE: framework for object-oriented Java bytecode compilation and execution on graphics processor units. GPGPU@ASPLOS (2012)
Slawomir Grzonkowski, Wojciech Zaremba, Maciej Zaremba, Bill McDaniel
Extending web applications with a lightweight zero knowledge proof authentication. CSTST (2008)