Josh Tobin
Josh Tobin
OpenAI
Verified email at openai.com
TitleCited byYear
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
3912017
Hindsight experience replay
M Andrychowicz, F Wolski, A Ray, J Schneider, R Fong, P Welinder, ...
Advances in Neural Information Processing Systems, 5048-5058, 2017
3252017
Learning dexterous in-hand manipulation
M Andrychowicz, B Baker, M Chociej, R Jozefowicz, B McGrew, ...
arXiv preprint arXiv:1808.00177, 2018
1312018
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
702016
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
662018
Domain randomization and generative models for robotic grasping
J Tobin, L Biewald, R Duan, M Andrychowicz, A Handa, V Kumar, ...
2018 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2018
402018
Knot Floer filtration classes of topologically slice knots
JP Tobin
Journal of Knot Theory and Its Ramifications 23 (09), 1450047, 2014
12014
Real-World Robotic Perception and Control Using Synthetic Data
JP Tobin
UC Berkeley, 2019
2019
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Articles 1–8