Wojciech Zaremba
Wojciech Zaremba
Co-Founder of OpenAI
Verified email at openai.com - Homepage
Cited by
Cited by
Intriguing properties of neural networks
C Szegedy, W Zaremba, I Sutskever, J Bruna, D Erhan, I Goodfellow, ...
arXiv preprint arXiv:1312.6199, 2013
Improved techniques for training gans
T Salimans, I Goodfellow, W Zaremba, V Cheung, A Radford, X Chen
Advances in neural information processing systems, 2234-2242, 2016
Openai gym
G Brockman, V Cheung, L Pettersson, J Schneider, J Schulman, J Tang, ...
arXiv preprint arXiv:1606.01540, 2016
Recurrent neural network regularization
W Zaremba, I Sutskever, O Vinyals
arXiv preprint arXiv:1409.2329, 2014
Spectral networks and locally connected networks on graphs
J Bruna, W Zaremba, A Szlam, Y LeCun
arXiv preprint arXiv:1312.6203, 2013
An empirical exploration of recurrent network architectures
R Jozefowicz, W Zaremba, I Sutskever
Exploiting linear structure within convolutional networks for efficient evaluation
EL Denton, W Zaremba, J Bruna, Y LeCun, R Fergus
Advances in neural information processing systems, 1269-1277, 2014
Sequence level training with recurrent neural networks
MA Ranzato, S Chopra, M Auli, W Zaremba
arXiv preprint arXiv:1511.06732, 2015
Domain randomization for transferring deep neural networks from simulation to the real world
J Tobin, R Fong, A Ray, J Schneider, W Zaremba, P Abbeel
2017 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2017
Hindsight experience replay
M Andrychowicz, F Wolski, A Ray, J Schneider, R Fong, P Welinder, ...
Advances in neural information processing systems, 5048-5058, 2017
Addressing the rare word problem in neural machine translation
MT Luong, I Sutskever, QV Le, O Vinyals, W Zaremba
arXiv preprint arXiv:1410.8206, 2014
Learning to execute
W Zaremba, I Sutskever
arXiv preprint arXiv:1410.4615, 2014
Learning dexterous in-hand manipulation
OpenAI, M Andrychowicz, B Baker, M Chociej, R Jozefowicz, B McGrew, ...
arXiv preprint arXiv:1808.00177, 2018
One-shot imitation learning
Y Duan, M Andrychowicz, B Stadie, OAIJ Ho, J Schneider, I Sutskever, ...
Advances in neural information processing systems, 1087-1098, 2017
Sim-to-real transfer of robotic control with dynamics randomization
XB Peng, M Andrychowicz, W Zaremba, P Abbeel
2018 IEEE international conference on robotics and automation (ICRA), 1-8, 2018
Overcoming exploration in reinforcement learning with demonstrations
A Nair, B McGrew, M Andrychowicz, W Zaremba, P Abbeel
2018 IEEE International Conference on Robotics and Automation (ICRA), 6292-6299, 2018
Reinforcement learning neural turing machines-revised
W Zaremba, I Sutskever
arXiv preprint arXiv:1505.00521, 2015
Multi-goal reinforcement learning: Challenging robotics environments and request for research
M Plappert, M Andrychowicz, A Ray, B McGrew, B Baker, G Powell, ...
arXiv preprint arXiv:1802.09464, 2018
Transfer from simulation to real world through learning deep inverse dynamics model
P Christiano, Z Shah, I Mordatch, J Schneider, T Blackwell, J Tobin, ...
arXiv preprint arXiv:1610.03518, 2016
Asymmetric actor critic for image-based robot learning
L Pinto, M Andrychowicz, P Welinder, W Zaremba, P Abbeel
arXiv preprint arXiv:1710.06542, 2017
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