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Josh Tobin
Josh Tobin
OpenAI
Verified email at openai.com
Title
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
29552017
Hindsight experience replay
M Andrychowicz, F Wolski, A Ray, J Schneider, R Fong, P Welinder, ...
Advances in neural information processing systems 30, 2017
25532017
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
15422020
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
4812018
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
2512016
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
1732018
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
122021
A Theoretical Analysis of Density Peaks Clustering and the Component-wise Peak-Finding Algorithm
J Tobin, M Zhang
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023
102023
Real-World Robotic Perception and Control Using Synthetic Data
JP Tobin
UC Berkeley, 2019
102019
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
Fong, R.—Ray, A.—Schneider, J.—Zaremba, W.—Abbeel, P.: Domain Randomization for Transferring Deep Neural Networks from Simulation to the Real World. 2017 IEEE
J Tobin
RSJ International Conference on Intelligent Robots and Systems (IROS), 23-30, 2017
62017
Hindsight experience replay
J Tobin, P Abbeel, W Zaremba
Advances in, 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
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
3
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
Co-Clustering Multi-View Data Using the Latent Block Model
J Tobin, M Black, J Ng, D Rankin, J Wallace, C Hughes, L Hoey, A Moore, ...
arXiv preprint arXiv:2401.04693, 2024
2024
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