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Josh Tobin
Josh Tobin
OpenAI
Verified email at openai.com
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Cited by
Cited by
Year
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
30732017
Hindsight experience replay
M Andrychowicz, F Wolski, A Ray, J Schneider, R Fong, P Welinder, ...
Advances in neural information processing systems 30, 2017
26462017
Learning dexterous in-hand manipulation
OAIM Andrychowicz, B Baker, M Chociej, R Jozefowicz, B McGrew, ...
The International Journal of Robotics Research 39 (1), 3-20, 2020
16012020
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
5132018
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
2552016
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
1812018
Geometry-aware neural rendering
J Tobin, W Zaremba, P Abbeel
Advances in Neural Information Processing Systems 32, 2019
202019
DCF: an efficient and robust density-based clustering method
J Tobin, M Zhang
2021 IEEE International Conference on Data Mining (ICDM), 629-638, 2021
142021
Real-World Robotic Perception and Control Using Synthetic Data
JP Tobin
University of California, Berkeley, 2019
112019
Flow cone sand tests
RE Tobin
Journal Proceedings 75 (1), 1-12, 1978
111978
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
J Tobin, R Fong, A Ray, J Schneider, W Zaremba, P Abbeel
102017
Troubleshooting deep neural networks
J Tobin, S Karayev, P Abbeel
72021
W. Zaremba und P. Abbeel,„Domain randomization for transferring deep neural networks from simulation to the real world,“in 2017 IEEE
J Tobin, R Fong, A Ray, J Schneider
RSJ International Conference on Intelligent Robots and Systems (IROS), 23-30, 2017
72017
Hindsight experience replay
J Tobin, P Abbeel, W Zaremba
I. Guyon, 2017
62017
Transfer from simulation to real world through learning deep inverse dynamics model. arXiv preprint, page
P Christiano, Z Shah, I Mordatch, J Schneider, T Blackwell, J Tobin, ...
arXiv preprint arXiv:1610.03518 5 (5.7), 2016
62016
Transfer from simulation to real world through learning deep inverse dynamics model. arXiv
P Christiano, Z Shah, I Mordatch, J Schneider, T Blackwell, J Tobin, ...
arXiv preprint arXiv:1610.03518, 2016
52016
Transfer from simulation to real world through learning deep inverse dynamics model (2016)
P Christiano, Z Shah, I Mordatch, J Schneider, T Blackwell, J Tobin, ...
arXiv preprint arXiv:1610.03518, 0
5
Domain randomization for transferring deep neural networks from simulation to the real world. In2017 IEEE/RSJ international conference on intelligent robots and systems (IROS …
J Tobin, R Fong, A Ray, J Schneider, W Zaremba, P Abbeel
IEEE, 0
4
Reinforced EM Algorithm for Clustering with Gaussian Mixture Models
J Tobin, CP Ho, M Zhang
Proceedings of the 2023 SIAM International Conference on Data Mining (SDM …, 2023
12023
Knot Floer filtration classes of topologically slice knots
JP Tobin
Journal of Knot Theory and Its Ramifications 23 (09), 1450047, 2014
12014
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Articles 1–20