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"

50 / 679 papers shown

Title
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 42 10 0 29 Oct 2019
KETO: Learning Keypoint Representations for Tool Manipulation Zengyi Qin Kuan Fang Yuke Zhu Li Fei-Fei Silvio Savarese 3DPC 38 107 0 26 Oct 2019
Sample Complexity of Reinforcement Learning using Linearly Combined Model Ensembles Aditya Modi Nan Jiang Ambuj Tewari Satinder Singh 25 129 0 23 Oct 2019
Robust Visual Domain Randomization for Reinforcement Learning Reda Bahi Slaoui W. Clements Jakob N. Foerster Sébastien Toth OOD 21 12 0 23 Oct 2019
RGB-D Individual Segmentation Wenqiang Xu Yanjun Fu Yucheng Luo Chang Liu Cewu Lu 30 0 0 16 Oct 2019
Learning Fast Adaptation with Meta Strategy Optimization Wenhao Yu Jie Tan Yunfei Bai Erwin Coumans Sehoon Ha 28 93 0 28 Sep 2019
Scaling data-driven robotics with reward sketching and batch reinforcement learning Serkan Cabi Sergio Gomez Colmenarejo Alexander Novikov Ksenia Konyushkova Scott E. Reed ... David Barker Jonathan Scholz Misha Denil Nando de Freitas Ziyun Wang OffRL 28 29 0 26 Sep 2019
Cut-and-Paste Dataset Generation for Balancing Domain Gaps in Object Instance Detection Woo-han Yun Taewoo Kim Jaeyeon Lee Jaehong Kim Junmo Kim 26 1 0 26 Sep 2019
ROBEL: Robotics Benchmarks for Learning with Low-Cost Robots Michael Ahn Henry Zhu Kristian Hartikainen Hugo Ponte Abhishek Gupta Sergey Levine Vikash Kumar 32 126 0 25 Sep 2019
Synthetic Data for Deep Learning Sergey I. Nikolenko 48 349 0 25 Sep 2019
PAC Reinforcement Learning without Real-World Feedback Yuren Zhong A. Deshmukh Clayton Scott 30 6 0 23 Sep 2019
Adversarial Feature Training for Generalizable Robotic Visuomotor Control Xi Chen Ali Ghadirzadeh Mårten Björkman Patric Jensfelt 27 13 0 17 Sep 2019
Using Synthetic Data and Deep Networks to Recognize Primitive Shapes for Object Grasping Yunzhi Lin Chao Tang Fu-Jen Chu Patricio A. Vela 3DPC 21 39 0 12 Sep 2019
Intensity augmentation for domain transfer of whole breast segmentation in MRI L. Hesse Grey Kuling M. Veta Anne L. Martel 25 5 0 05 Sep 2019
Domain Randomization and Pyramid Consistency: Simulation-to-Real Generalization without Accessing Target Domain Data Xiangyu Yue Yang Zhang Sicheng Zhao Alberto L. Sangiovanni-Vincentelli Kurt Keutzer Boqing Gong OOD 20 382 0 02 Sep 2019
Situational Fusion of Visual Representation for Visual Navigation Bokui (William) Shen Danfei Xu Yuke Zhu Leonidas J. Guibas Fei-Fei Li Silvio Savarese SSL 27 62 0 24 Aug 2019
Trustable and Automated Machine Learning Running with Blockchain and Its Applications Tao Wang Xinmin Wu Taiping He 25 7 0 14 Aug 2019
Sim-to-Real Learning for Casualty Detection from Ground Projected Point Cloud Data Roni Permana Saputra Nemanja Rakićević Petar Kormushev 3DH 3DPC 19 8 0 08 Aug 2019
The Best of Both Modes: Separately Leveraging RGB and Depth for Unseen Object Instance Segmentation Christopher Xie Yu Xiang Arsalan Mousavian Dieter Fox 19 92 0 30 Jul 2019
MineRL: A Large-Scale Dataset of Minecraft Demonstrations William H. Guss Brandon Houghton Nicholay Topin Phillip Wang Cayden R. Codel Manuela Veloso Ruslan Salakhutdinov OffRL 31 218 0 29 Jul 2019
TuneNet: One-Shot Residual Tuning for System Identification and Sim-to-Real Robot Task Transfer Adam Allevato Elaine Schaertl Short Mitch Pryor A. Thomaz 35 53 0 25 Jul 2019
LEGO: Leveraging Experience in Roadmap Generation for Sampling-Based Planning Rahul Kumar Aditya Mandalika Sanjiban Choudhury S. Srinivasa 24 59 0 22 Jul 2019
Autonomous Driving in the Lung using Deep Learning for Localization Jake Sganga David Eng C. Graetzel David B. Camarillo 24 14 0 16 Jul 2019
Learning better generative models for dexterous, single-view grasping of novel objects Marek Kopicki D. Belter J. Wyatt 24 32 0 13 Jul 2019
DisCoRL: Continual Reinforcement Learning via Policy Distillation Kalifou René Traoré Hugo Caselles-Dupré Timothée Lesort Te Sun Guanghang Cai Natalia Díaz Rodríguez David Filliat OffRL 32 60 0 11 Jul 2019
Assessing Transferability from Simulation to Reality for Reinforcement Learning Fabio Muratore Michael Gienger Jan Peters 19 61 0 10 Jul 2019
Generating All the Roads to Rome: Road Layout Randomization for Improved Road Marking Segmentation Tom Bruls Horia Porav Lars Kunze Paul Newman 18 6 0 10 Jul 2019
A Review of Robot Learning for Manipulation: Challenges, Representations, and Algorithms Oliver Kroemer S. Niekum George Konidaris 41 356 0 06 Jul 2019
ORRB -- OpenAI Remote Rendering Backend Maciek Chociej Peter Welinder Lilian Weng AI4CE 21 10 0 26 Jun 2019
PyRep: Bringing V-REP to Deep Robot Learning Stephen James M. Freese Andrew J. Davison 35 117 0 26 Jun 2019
Pose Estimation for Non-Cooperative Rendezvous Using Neural Networks Sumant Sharma Simone DÁmico 27 53 0 24 Jun 2019
Data-Efficient Learning for Sim-to-Real Robotic Grasping using Deep Point Cloud Prediction Networks Xinchen Yan Mohi Khansari Jasmine Hsu Yuanzheng Gong Yunfei Bai Soren Pirk Honglak Lee 3DPC 19 32 0 21 Jun 2019
Proximal Reliability Optimization for Reinforcement Learning Narendra Patwardhan Zequn Wang 18 0 0 03 Jun 2019
Air Learning: A Deep Reinforcement Learning Gym for Autonomous Aerial Robot Visual Navigation Srivatsan Krishnan Behzad Boroujerdian William Fu Aleksandra Faust Vijay Janapa Reddi 16 36 0 02 Jun 2019
LeagueAI: Improving object detector performance and flexibility through automatically generated training data and domain randomization Oliver Struckmeier 9 3 0 28 May 2019
Simple and Effective Curriculum Pointer-Generator Networks for Reading Comprehension over Long Narratives Yi Tay Shuohang Wang Anh Tuan Luu Jie Fu Minh C. Phan Xingdi Yuan J. Rao S. Hui Aston Zhang 39 108 0 26 May 2019
Deep Drone Racing: From Simulation to Reality with Domain Randomization Antonio Loquercio Elia Kaufmann René Ranftl Alexey Dosovitskiy V. Koltun Davide Scaramuzza 36 209 0 21 May 2019
Reinforcement Learning without Ground-Truth State Xingyu Lin H. Baweja David Held OffRL SSL 20 24 0 20 May 2019
From Video Game to Real Robot: The Transfer between Action Spaces Janne Karttunen Anssi Kanervisto Ville Kyrki Ville Hautamaki 22 8 0 02 May 2019
Synthetic Data Generation and Adaption for Object Detection in Smart Vending Machines Kai Wang Fuyuan Shi Wenqi Wang Yibing Nan Shiguo Lian 27 12 0 28 Apr 2019
Meta-Sim: Learning to Generate Synthetic Datasets Amlan Kar Aayush Prakash Ming-Yu Liu Eric Cameracci Justin Yuan Matt Rusiniak David Acuna Antonio Torralba Sanja Fidler 22 248 0 25 Apr 2019
Active Domain Randomization Bhairav Mehta Manfred Diaz Florian Golemo C. Pal Liam Paull 30 257 0 09 Apr 2019
Robot-Supervised Learning for Object Segmentation V. Florence Jason J. Corso Brent A. Griffin 22 8 0 01 Apr 2019
Risk Averse Robust Adversarial Reinforcement Learning Xinlei Pan Daniel Seita Yang Gao John F. Canny AAML 16 96 0 31 Mar 2019
Addressing Model Vulnerability to Distributional Shifts over Image Transformation Sets Riccardo Volpi Vittorio Murino 39 29 0 28 Mar 2019
Domain Generalization by Solving Jigsaw Puzzles Fabio Maria Carlucci A. DÍnnocente S. Bucci Barbara Caputo Tatiana Tommasi SSL 41 808 0 16 Mar 2019
Sim-to-(Multi)-Real: Transfer of Low-Level Robust Control Policies to Multiple Quadrotors Artem Molchanov Tao Chen Wolfgang Hönig James A. Preiss Nora Ayanian Gaurav Sukhatme 24 107 0 11 Mar 2019
Affordance Learning for End-to-End Visuomotor Robot Control Aleksi Hämäläinen Karol Arndt Ali Ghadirzadeh Ville Kyrki 38 48 0 10 Mar 2019
Pixel-Attentive Policy Gradient for Multi-Fingered Grasping in Cluttered Scenes Bohan Wu Iretiayo Akinola Peter K. Allen 22 34 0 08 Mar 2019
The AI Driving Olympics at NeurIPS 2018 J. Zilly J. Tani Breandan Considine Bhairav Mehta Andrea F. Daniele ... R. Hristov S. Mallya Emilio Frazzoli A. Censi Liam Paull 21 14 0 06 Mar 2019