Domain Randomization for Transferring Deep Neural Networks from Simulation to the Real World

20 March 2017

Pieter Abbeel

Papers citing "Domain Randomization for Transferring Deep Neural Networks from Simulation to the Real World"

35 / 85 papers shown

Title
Adapting Object Detectors with Conditional Domain Normalization Peng Su Kun Wang Xingyu Zeng Shixiang Tang Dapeng Chen Di Qiu Xiaogang Wang 91 84 0 16 Mar 2020
StyleGAN2 Distillation for Feed-forward Image Manipulation Yuri Viazovetskyi V. Ivashkin Evgenii Kashin 174 136 0 07 Mar 2020
CrDoCo: Pixel-level Domain Transfer with Cross-Domain Consistency Yun-Chun Chen Yen-Yu Lin Ming-Hsuan Yang Jia-Bin Huang 51 276 0 09 Jan 2020
Navigation Agents for the Visually Impaired: A Sidewalk Simulator and Experiments Martin Weiss Simon Chamorro Roger Girgis Margaux Luck Samira Ebrahimi Kahou Joseph Paul Cohen Derek Nowrouzezahrai Doina Precup Florian Golemo C. Pal 54 11 0 29 Oct 2019
Sample Complexity of Reinforcement Learning using Linearly Combined Model Ensembles Aditya Modi Nan Jiang Ambuj Tewari Satinder Singh 41 131 0 23 Oct 2019
A Self-supervised Learning System for Object Detection using Physics Simulation and Multi-view Pose Estimation Chaitanya Mitash Kostas E. Bekris Abdeslam Boularias 37 116 0 09 Mar 2017
Learning Invariant Feature Spaces to Transfer Skills with Reinforcement Learning Abhishek Gupta Coline Devin YuXuan Liu Pieter Abbeel Sergey Levine 24 268 0 08 Mar 2017
Deep Predictive Policy Training using Reinforcement Learning Ali Ghadirzadeh A. Maki Danica Kragic Mårten Björkman 45 129 0 02 Mar 2017
Reinforcement Learning for Pivoting Task Rika Antonova S. Cruciani Christian Smith Danica Kragic 20 68 0 01 Mar 2017
DepthSynth: Real-Time Realistic Synthetic Data Generation from CAD Models for 2.5D Recognition Benjamin Planche Ziyan Wu Kai Ma Shanhui Sun Stefan Kluckner Terrence Chen Andreas Hutter Sergey Zakharov H. Kosch Jan Ernst 3DV 39 66 0 27 Feb 2017
Preparing for the Unknown: Learning a Universal Policy with Online System Identification Wenhao Yu Jie Tan Chenxi Liu Greg Turk OffRL 49 305 0 08 Feb 2017
CAD2RL: Real Single-Image Flight without a Single Real Image Fereshteh Sadeghi Sergey Levine SSL 267 814 0 13 Nov 2016
Unsupervised Cross-Domain Image Generation Yaniv Taigman Adam Polyak Lior Wolf GAN OOD 45 999 0 07 Nov 2016
Sim-to-Real Robot Learning from Pixels with Progressive Nets Andrei A. Rusu Matej Vecerík Thomas Rothörl N. Heess Razvan Pascanu R. Hadsell 55 532 0 13 Oct 2016
EPOpt: Learning Robust Neural Network Policies Using Model Ensembles Aravind Rajeswaran Sarvjeet Ghotra Balaraman Ravindran Sergey Levine 46 349 0 05 Oct 2016
3D Simulation for Robot Arm Control with Deep Q-Learning Stephen James Edward Johns 39 108 0 13 Sep 2016
Playing for Data: Ground Truth from Computer Games Stephan R. Richter Vibhav Vineet Stefan Roth V. Koltun VLM 77 1,998 0 07 Aug 2016
Progressive Neural Networks Andrei A. Rusu Neil C. Rabinowitz Guillaume Desjardins Hubert Soyer J. Kirkpatrick Koray Kavukcuoglu Razvan Pascanu R. Hadsell CLL AI4CE 24 2,428 0 15 Jun 2016
How useful is photo-realistic rendering for visual learning? Yair Movshovitz-Attias T. Kanade Yaser Sheikh 3DH 3DV 39 151 0 26 Mar 2016
Revisiting Batch Normalization For Practical Domain Adaptation Yanghao Li Naiyan Wang Jianping Shi Jiaying Liu Xiaodi Hou OOD 35 584 0 15 Mar 2016
Adapting Deep Visuomotor Representations with Weak Pairwise Constraints Eric Tzeng Coline Devin Judy Hoffman Chelsea Finn Pieter Abbeel Sergey Levine Kate Saenko Trevor Darrell OOD 43 139 0 23 Nov 2015
Render for CNN: Viewpoint Estimation in Images Using CNNs Trained with Rendered 3D Model Views Hao Su C. Qi Yangyan Li Leonidas Guibas 68 737 0 21 May 2015
End-to-End Training of Deep Visuomotor Policies Sergey Levine Chelsea Finn Trevor Darrell Pieter Abbeel BDL 136 3,418 0 02 Apr 2015
Trust Region Policy Optimization John Schulman Sergey Levine Philipp Moritz Michael I. Jordan Pieter Abbeel 203 6,722 0 19 Feb 2015
Learning Transferable Features with Deep Adaptation Networks Mingsheng Long Yue Cao Jianmin Wang Michael I. Jordan OOD 155 5,163 0 10 Feb 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 104 149,474 0 22 Dec 2014
Deep Domain Confusion: Maximizing for Domain Invariance Eric Tzeng Judy Hoffman Ning Zhang Kate Saenko Trevor Darrell OOD 120 2,588 0 10 Dec 2014
How transferable are features in deep neural networks? J. Yosinski Jeff Clune Yoshua Bengio Hod Lipson OOD 40 8,309 0 06 Nov 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 367 99,991 0 04 Sep 2014
LSDA: Large Scale Detection Through Adaptation Judy Hoffman S. Guadarrama Eric Tzeng Ronghang Hu Jeff Donahue Ross B. Girshick Trevor Darrell Kate Saenko ObjD 55 335 0 18 Jul 2014
Robots that can adapt like animals Antoine Cully Jeff Clune Danesh Tarapore Jean-Baptiste Mouret 47 1,030 0 13 Jul 2014
Describing Textures in the Wild Mircea Cimpoi Subhransu Maji Iasonas Kokkinos S. Mohamed Andrea Vedaldi 3DV 55 2,632 0 14 Nov 2013
Efficient Learning of Domain-invariant Image Representations Judy Hoffman E. Rodner Jeff Donahue Trevor Darrell Kate Saenko OOD 28 295 0 15 Jan 2013
Learning with Augmented Features for Heterogeneous Domain Adaptation Lixin Duan Dong Xu Ivor Tsang 42 343 0 18 Jun 2012
Domain Adaptation: Learning Bounds and Algorithms Yishay Mansour M. Mohri Afshin Rostamizadeh 256 796 0 19 Feb 2009