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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
34982017
Hindsight experience replay
M Andrychowicz, F Wolski, A Ray, J Schneider, R Fong, P Welinder, ...
Advances in neural information processing systems 30, 2017
30022017
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
18382020
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
5972018
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
2702016
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
1862018
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
162021
Flow cone sand tests
RE Tobin
Journal Proceedings 75 (1), 1-12, 1978
15*1978
Real-world robotic perception and control using synthetic data
JP Tobin
University of California, Berkeley, 2019
132019
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
J Tobin, R Fong, A Ray, J Schneider, W Zaremba, P Abbeel
132017
Troubleshooting deep neural networks
J Tobin, S Karayev, P Abbeel
82021
Hindsight experience replay
J Tobin, P Abbeel, W Zaremba
Advances in, 2017
82017
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
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
62016
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 (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
22023
Clustering of Big Data with Mixed Features
J Tobin, M Zhang
arXiv preprint arXiv:2011.06043, 2020
12020
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