Wojciech Zaremba

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All published works
Action Title Year Authors
+ PDF Chat OpenAI o1 System Card 2024 OpenAI
NULL AUTHOR_ID
Aaron Jaech
Adam Tauman Kalai
Adam Lerer
Adam J. Richardson
Ahmed El-Kishky
A. M. Low
Alec Helyar
Aleksander Mądry
+ PDF Chat GPT-4o System Card 2024 OpenAI
NULL AUTHOR_ID
A. M. Hurst
Adam Lerer
Adam P. Goucher
Adam Perelman
Aditya Ramesh
Aidan Clark
AJ Ostrow
Akila Welihinda
+ A Generalizable Approach to Learning Optimizers 2021 Diogo Almeida
Clemens Winter
Jie Tang
Wojciech Zaremba
+ Asymmetric self-play for automatic goal discovery in robotic manipulation 2021 OpenAI OpenAI
Matthias Plappert
Raul Sampedro
Tao Xu
Ilge Akkaya
Vineet Kosaraju
Peter Welinder
Ruben D'Sa
Arthur J Petron
Henrique Pondé de Oliveira Pinto
+ Evaluating Large Language Models Trained on Code 2021 Mark Chen
Jerry Tworek
Heewoo Jun
Qiming Yuan
Henrique Pondé de Oliveira Pinto
Jared Kaplan
Harrison Edwards
Yuri Burda
Nicholas Joseph
Greg Brockman
+ A Generalizable Approach to Learning Optimizers 2021 Diogo Almeida
Clemens Winter
Jie Tang
Wojciech Zaremba
+ Predicting Sim-to-Real Transfer with Probabilistic Dynamics Models. 2020 Lei M. Zhang
Matthias Plappert
Wojciech Zaremba
+ Predicting Sim-to-Real Transfer with Probabilistic Dynamics Models 2020 Lei M. Zhang
Matthias Plappert
Wojciech Zaremba
+ PDF Chat Learning dexterous in-hand manipulation 2019 OpenAI Marcin Andrychowicz
Bowen Baker
Maciek Chociej
Rafał Józefowicz
Bob McGrew
Jakub Pachocki
Arthur J Petron
Matthias Plappert
Glenn Powell
Alex Ray
+ Geometry-Aware Neural Rendering 2019 Joshua Tobin
Wojciech Zaremba
Pieter Abbeel
+ Solving Rubik's Cube with a Robot Hand 2019 OpenAI
Ilge Akkaya
Marcin Andrychowicz
Maciek Chociej
Mateusz Litwin
Bob McGrew
Arthur J Petron
Alex Paino
Matthias Plappert
Glenn Powell
+ PDF Chat Domain Randomization and Generative Models for Robotic Grasping 2018 Josh Tobin
Lukas Biewald
Rocky Duan
Marcin Andrychowicz
Ankur Handa
Vikash Kumar
Bob McGrew
Alex Ray
Jonas Schneider
Peter Welinder
+ Asymmetric Actor Critic for Image-Based Robot Learning 2018 Lerrel Pinto
Marcin Andrychowicz
Peter Welinder
Wojciech Zaremba
Pieter Abbeel
+ PDF Chat Overcoming Exploration in Reinforcement Learning with Demonstrations 2018 Ashvin Nair
Bob McGrew
Marcin Andrychowicz
Wojciech Zaremba
Pieter Abbeel
+ PDF Chat Sim-to-Real Transfer of Robotic Control with Dynamics Randomization 2018 Xue Bin Peng
Marcin Andrychowicz
Wojciech Zaremba
Pieter Abbeel
+ Multi-Goal Reinforcement Learning: Challenging Robotics Environments and Request for Research 2018 Matthias Plappert
Marcin Andrychowicz
Alex Ray
Bob McGrew
Bowen Baker
Glenn Powell
Jonas Schneider
Josh Tobin
Maciek Chociej
Peter Welinder
+ Multi-Goal Reinforcement Learning: Challenging Robotics Environments and Request for Research 2018 Matthias Plappert
Marcin Andrychowicz
Alex Ray
Bob McGrew
Bowen Baker
Glenn Powell
Jonas Schneider
Joshua W.D. Tobin
Maciek Chociej
Peter Welinder
+ Asymmetric Actor Critic for Image-Based Robot Learning 2017 Lerrel Pinto
Marcin Andrychowicz
Peter Welinder
Wojciech Zaremba
Pieter Abbeel
+ Domain Randomization and Generative Models for Robotic Grasping 2017 Joshua Tobin
Lukas Biewald
Rocky Duan
Marcin Andrychowicz
Ankur Handa
Vikash Kumar
Bob McGrew
Jonas Schneider
Peter Welinder
Wojciech Zaremba
+ Overcoming Exploration in Reinforcement Learning with Demonstrations 2017 Ashvin Nair
Bob McGrew
Marcin Andrychowicz
Wojciech Zaremba
Pieter Abbeel
+ PDF Chat Domain randomization for transferring deep neural networks from simulation to the real world 2017 Josh Tobin
Rachel Fong
Alex Ray
Jonas Schneider
Wojciech Zaremba
Pieter Abbeel
+ Hindsight Experience Replay 2017 Marcin Andrychowicz
Filip Wolski
Alex Ray
Jonas Schneider
Rachel Fong
Peter Welinder
Bob McGrew
Josh Tobin
Pieter Abbeel
Wojciech Zaremba
+ One-Shot Imitation Learning 2017 Yan Duan
Marcin Andrychowicz
Bradly C. Stadie
Jonathan Ho
Jonas Schneider
Ilya Sutskever
Pieter Abbeel
Wojciech Zaremba
+ Asymmetric Actor Critic for Image-Based Robot Learning 2017 Lerrel Pinto
Marcin Andrychowicz
Peter Welinder
Wojciech Zaremba
Pieter Abbeel
+ Domain Randomization and Generative Models for Robotic Grasping 2017 Joshua W.D. Tobin
Lukas Biewald
Rocky Duan
Marcin Andrychowicz
Ankur Handa
Vikas Kumar
Bob McGrew
Jonas Schneider
Peter Welinder
Wojciech Zaremba
+ Domain Randomization for Transferring Deep Neural Networks from Simulation to the Real World 2017 Joshua W.D. Tobin
Rachel H. Fong
Alex Ray
Jonas Schneider
Wojciech Zaremba
Pieter Abbeel
+ Overcoming Exploration in Reinforcement Learning with Demonstrations 2017 Ashvin Nair
Bob McGrew
Marcin Andrychowicz
Wojciech Zaremba
Pieter Abbeel
+ Hindsight Experience Replay 2017 Marcin Andrychowicz
Filip Wolski
Alex Ray
Jonas Schneider
Rachel H. Fong
Peter Welinder
Bob McGrew
Joshua W.D. Tobin
Pieter Abbeel
Wojciech Zaremba
+ Improved Techniques for Training GANs 2016 Tim Salimans
Ian Goodfellow
Wojciech Zaremba
Vicki Cheung
Alec Radford
Xi Chen
+ OpenAI Gym 2016 Greg Brockman
Vicki Cheung
Ludwig Pettersson
Jonas Schneider
John Schulman
Jie Tang
Wojciech Zaremba
+ Transfer from Simulation to Real World through Learning Deep Inverse Dynamics Model 2016 Paul F. Christiano
Zain Shah
Igor Mordatch
Jonas Schneider
Trevor Blackwell
Joshua Tobin
Pieter Abbeel
Wojciech Zaremba
+ Extensions and Limitations of the Neural GPU 2016 Eric Price
Wojciech Zaremba
Ilya Sutskever
+ Improved Techniques for Training GANs 2016 Tim Salimans
Ian Goodfellow
Wojciech Zaremba
Vicki Cheung
Alec Radford
Xi Chen
+ OpenAI Gym 2016 Greg Brockman
Vicki Cheung
Ludwig Pettersson
Jonas Schneider
John Schulman
Jie Tang
Wojciech Zaremba
+ Scale-invariant learning and convolutional networks 2015 Mark Tygert
Arthur Szlam
Soumith Chintala
Marc’Aurelio Ranzato
Yuandong Tian
Wojciech Zaremba
+ Reinforcement Learning Neural Turing Machines 2015 Wojciech Zaremba
Ilya Sutskever
+ Reinforcement Learning Neural Turing Machines - Revised 2015 Wojciech Zaremba
Ilya Sutskever
+ Addressing the Rare Word Problem in Neural Machine Translation 2015 Thang Luong
Ilya Sutskever
Quoc V. Le
Oriol Vinyals
Wojciech Zaremba
+ Sequence Level Training with Recurrent Neural Networks 2015 Marc’Aurelio Ranzato
Sumit Chopra
Michael Auli
Wojciech Zaremba
+ Convolutional networks and learning invariant to homogeneous multiplicative scalings 2015 Mark Tygert
Arthur Szlam
Soumith Chintala
Marc’Aurelio Ranzato
Yuandong Tian
Wojciech Zaremba
+ Learning Simple Algorithms from Examples 2015 Wojciech Zaremba
Tomáš Mikolov
Armand Joulin
Rob Fergus
+ Reinforcement Learning Neural Turing Machines - Revised 2015 Wojciech Zaremba
Ilya Sutskever
+ Learning to Discover Efficient Mathematical Identities 2014 Wojciech Zaremba
Karol Kurach
Rob Fergus
+ Addressing the Rare Word Problem in Neural Machine Translation 2014 Minh-Thang Luong
Ilya Sutskever
Quoc V. Le
Oriol Vinyals
Wojciech Zaremba
+ Learning to Execute 2014 Wojciech Zaremba
Ilya Sutskever
+ Exploiting Linear Structure Within Convolutional Networks for Efficient Evaluation 2014 Emily Denton
Wojciech Zaremba
Joan Bruna
Yann LeCun
Rob Fergus
+ Recurrent Neural Network Regularization 2014 Wojciech Zaremba
Ilya Sutskever
Oriol Vinyals
+ Exploiting Linear Structure Within Convolutional Networks for Efficient Evaluation 2014 Emily Denton
Wojciech Zaremba
Joan Bruna
Yann LeCun
Rob Fergus
+ Learning to Discover Efficient Mathematical Identities 2014 Wojciech Zaremba
Karol Kurach
Rob Fergus
+ Addressing the Rare Word Problem in Neural Machine Translation 2014 Minh-Thang Luong
Ilya Sutskever
Quoc V. Le
Oriol Vinyals
Wojciech Zaremba
+ Learning to Execute 2014 Wojciech Zaremba
Ilya Sutskever
+ Spectral Networks and Locally Connected Networks on Graphs 2013 Joan Bruna
Wojciech Zaremba
Arthur Szlam
Yann LeCun
+ B -tests: low variance kernel two-sample tests 2013 Wojciech Zaremba
Arthur Gretton
Matthew B. Blaschko
+ PDF Chat B-tests: Low Variance Kernel Two-Sample Tests 2013 Wojciech Zaremba
Arthur Gretton
Matthew B. Blaschko
+ B-test: A Non-parametric, Low Variance Kernel Two-sample Test 2013 Wojciech Zaremba
Arthur Gretton
Matthew B. Blaschko
+ B-tests: Low Variance Kernel Two-Sample Tests 2013 Wojciech Zaremba
Arthur Gretton
Matthew B. Blaschko
+ B-test: A Non-parametric, Low Variance Kernel Two-sample Test 2013 Wojciech Zaremba
Arthur Gretton
Matthew B. Blaschko
+ Spectral Networks and Locally Connected Networks on Graphs 2013 Joan Bruna
Wojciech Zaremba
Arthur Szlam
Yann LeCun
+ Intriguing properties of neural networks 2013 Christian Szegedy
Wojciech Zaremba
Ilya Sutskever
Joan Bruna
Dumitru Erhan
Ian Goodfellow
Rob Fergus
Common Coauthors
Commonly Cited References
Action Title Year Authors # of times referenced
+ Neural Machine Translation by Jointly Learning to Align and Translate 2015 Dzmitry Bahdanau
Kyunghyun Cho
Yoshua Bengio
8
+ PDF Chat Learning hand-eye coordination for robotic grasping with deep learning and large-scale data collection 2017 Sergey Levine
Peter Pástor
Alex Krizhevsky
Julian Ibarz
Deirdre Quillen
7
+ Generating Sequences With Recurrent Neural Networks 2013 Alex Graves
7
+ CAD2RL: Real Single-Image Flight Without a Single Real Image 2017 Fereshteh Sadeghi
Sergey Levine
7
+ End-to-End Training of Deep Visuomotor Policies 2015 Sergey Levine
Chelsea Finn
Trevor Darrell
Pieter Abbeel
6
+ Adam: A Method for Stochastic Optimization 2014 Diederik P. Kingma
Jimmy Ba
6
+ Neural Turing Machines 2014 Alex Graves
Greg Wayne
Ivo Danihelka
6
+ PDF Chat Domain randomization for transferring deep neural networks from simulation to the real world 2017 Josh Tobin
Rachel Fong
Alex Ray
Jonas Schneider
Wojciech Zaremba
Pieter Abbeel
5
+ Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation 2014 Kyunghyun Cho
Bart van Merriënboer
Çaǧlar Gülçehre
Dzmitry Bahdanau
Fethi Bougares
Holger Schwenk
Yoshua Bengio
5
+ Transfer from Simulation to Real World through Learning Deep Inverse Dynamics Model 2016 Paul F. Christiano
Zain Shah
Igor Mordatch
Jonas Schneider
Trevor Blackwell
Joshua Tobin
Pieter Abbeel
Wojciech Zaremba
5
+ Learning to Execute 2014 Wojciech Zaremba
Ilya Sutskever
5
+ Continuous control with deep reinforcement learning 2015 Timothy Lillicrap
Jonathan J. Hunt
Alexander Pritzel
Nicolas Heess
Tom Erez
Yuval Tassa
David Silver
Daan Wierstra
5
+ TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems 2016 Martı́n Abadi
Ashish Agarwal
Paul Barham
Eugene Brevdo
Zhifeng Chen
Craig Citro
Gregory S. Corrado
Andy Davis
Jay B. Dean
Matthieu Devin
4
+ PDF Chat Supersizing self-supervision: Learning to grasp from 50K tries and 700 robot hours 2016 Lerrel Pinto
Abhinav Gupta
4
+ Sim-to-Real Robot Learning from Pixels with Progressive Nets 2016 Andrei A. Rusu
Matej Vecerík
Thomas Rothörl
Nicolas Heess
Razvan Pascanu
Raia Hadsell
4
+ Inferring Algorithmic Patterns with Stack-Augmented Recurrent Nets 2015 Armand Joulin
Tomáš Mikolov
4
+ A Reduction of Imitation Learning and Structured Prediction to No-Regret Online Learning 2010 Stéphane Ross
Geoffrey J. Gordon
J. Andrew Bagnell
4
+ Sequence to Sequence Learning with Neural Networks 2014 Ilya Sutskever
Oriol Vinyals
Quoc V. Le
4
+ Proximal Policy Optimization Algorithms 2017 John Schulman
Filip Wolski
Prafulla Dhariwal
Alec Radford
Oleg Klimov
4
+ PDF Chat Deep reinforcement learning for robotic manipulation with asynchronous off-policy updates 2017 Shixiang Gu
Ethan Holly
Timothy Lillicrap
Sergey Levine
4
+ Preparing for the Unknown: Learning a Universal Policy with Online System Identification 2017 Wenhao Yu
Jie Tan
C. Karen Liu
Greg Turk
4
+ Improving neural networks by preventing co-adaptation of feature detectors 2012 Geoffrey E. Hinton
Nitish Srivastava
Alex Krizhevsky
Ilya Sutskever
Ruslan Salakhutdinov
4
+ PDF Chat Supervision via competition: Robot adversaries for learning tasks 2017 Lerrel Pinto
James Davidson
Abhinav Gupta
4
+ 3D Simulation for Robot Arm Control with Deep Q-Learning 2016 Stephen James
Edward Johns
4
+ Testing for Homogeneity with Kernel Fisher Discriminant Analysis 2008 Zaïd Harchaoui
Francis Bach
Éric Moulines
3
+ PDF Chat Playing for Data: Ground Truth from Computer Games 2016 Stephan R. Richter
Vibhav Vineet
Stefan Roth
Vladlen Koltun
3
+ End-To-End Memory Networks 2015 Sainbayar Sukhbaatar
Arthur Szlam
Jason Weston
Rob Fergus
3
+ Recurrent Neural Network Regularization 2014 Wojciech Zaremba
Ilya Sutskever
Oriol Vinyals
3
+ PDF Chat Deep Residual Learning for Image Recognition 2016 Kaiming He
Xiangyu Zhang
Shaoqing Ren
Jian Sun
3
+ A kernel two-sample test 2012 Arthur Gretton
Karsten Borgwardt
Malte J. Rasch
Bernhard Schölkopf
Alexander J. Smola
3
+ Hypothesis testing using pairwise distances and associated kernels 2012 Dino Sejdinović
Arthur Gretton
Kenji Fukumizu
Bharath K. Sriperumbudur
3
+ Two‐stage <i>U</i>‐statistics for Hypothesis Testing 2006 Hwai‐Chung Ho
Grace S. Shieh
3
+ Dex-Net 3.0: Computing Robust Robot Suction Grasp Targets in Point Clouds using a New Analytic Model and Deep Learning 2017 Jeffrey Mahler
Matthew Matl
Xinyu Liu
Albert P. Li
David V. Gealy
Ken Goldberg
3
+ Sequence to Sequence Learning with Neural Networks 2014 Ilya Sutskever
Oriol Vinyals
Quoc V. Le
3
+ PDF Chat Learning contact-rich manipulation skills with guided policy search 2015 Sergey Levine
Nolan Wagener
Pieter Abbeel
3
+ Leveraging Demonstrations for Deep Reinforcement Learning on Robotics Problems with Sparse Rewards 2017 Matej Vecerík
Todd Hester
Jonathan Scholz
Fumin Wang
Olivier Pietquin
Bilal Piot
Nicolas Heess
Thomas Rothörl
Thomas Lampe
Martin Riedmiller
3
+ Learning agile and dynamic motor skills for legged robots 2019 Jemin Hwangbo
Joonho Lee
Alexey Dosovitskiy
C. Dario Bellicoso
Vassilios Tsounis
Vladlen Koltun
Marco Hutter
3
+ Dex-Net 2.0: Deep Learning to Plan Robust Grasps with Synthetic Point Clouds and Analytic Grasp Metrics 2017 Jeffrey Mahler
Jacky Liang
Sherdil Niyaz
Michael Laskey
Richard Doan
Xinyu Liu
Juan Pablo Aparicio
Ken Goldberg
3
+ Learning Invariant Feature Spaces to Transfer Skills with Reinforcement Learning 2017 Abhishek Gupta
Coline Devin
Yuxuan Liu
Pieter Abbeel
Sergey Levine
3
+ On a new multivariate two-sample test 2003 Ludwig Baringhaus
Carsten Franz
3
+ Can recursive neural tensor networks learn logical reasoning 2013 Samuel R. Bowman
3
+ PDF Chat The accuracy of the Gaussian approximation to the sum of independent variates 1941 Andrew Berry
3
+ An Introduction to the Bootstrap 1994 Bradley Efron
Robert Tibshirani
3
+ Hilbert Space Embeddings and Metrics on Probability Measures 2010 Bharath K. Sriperumbudur
Arthur Gretton
Kenji Fukumizu
Bernhard Schölkopf
Gert Lanckriet
3
+ PDF Chat A Scalable Bootstrap for Massive Data 2014 Ariel Kleiner
Ameet Talwalkar
Purnamrita Sarkar
Michael I. Jordan
3
+ PDF Chat On the Convergence of Moments in the Central Limit Theorem 1965 Bengt Von Bahr
3
+ Data-efficient Deep Reinforcement Learning for Dexterous Manipulation 2017 Ivaylo Popov
Nicolas Heess
Timothy Lillicrap
Roland Hafner
Gabriel Barth-Maron
Matej Vecerík
Thomas Lampe
Yuval Tassa
Tom Erez
Martin Riedmiller
3
+ Learning to reinforcement learn 2016 Jane X. Wang
Zeb Kurth‐Nelson
Dhruva Tirumala
Hubert Soyer
Joel Z. Leibo
Rémi Munos
Charles Blundell
Dharshan Kumaran
Matt Botvinick
3
+ Optimal kernel choice for large-scale two-sample tests 2012 Arthur Gretton
Dino Sejdinović
Heiko Strathmann
Sivaraman Balakrishnan
Massimiliano Pontil
Kenji Fukumizu
Bharath K. Sriperumbudur
3
+ PDF Chat A Kernel Method for the Two-Sample-Problem 2007 Arthur Gretton
Karsten Borgwardt
Malte J. Rasch
Bernhard Schölkopf
Alexander J. Smola
3