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Simulation can be a powerful tool for understanding machine learning systems and designing methods to solve real-world problems.
On the theory of the brownian motion
G. E. Uhlenbeck and L. S. Ornstein · 1930
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Alvinn: An autonomous land vehicle in a neural network
Dean A Pomerleau · 1989
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Improving noise
Ken Perlin · 2002
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Off-road obstacle avoidance through end-to-end learning
Urs Muller, Jan Ben, Eric Cosatto, Beat Flepp, and Yann L Cun · 2006
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Fast poisson disk sampling in arbitrary dimensions
Robert Bridson · 2007
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Adam: A method for stochastic optimization
Diederik P. Kingma and Jimmy Ba · 2014
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Very deep convolutional networks for large-scale image recognition
K. Simonyan and A. Zisserman · 2014
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End to end learning for self-driving cars
Mariusz Bojarski, Davide Del Testa, Daniel Dworakowski, Bernhard Firner, Beat Flepp, Prasoon Goyal, Lawrence D Jackel, Mathew Monfort, Urs Muller, Jiakai Zhang, et al · 2016
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Virtual worlds as proxy for multi-object tracking analysis
Adrien Gaidon, Qiao Wang, Yohann Cabon, and Eleonora Vig · 2016
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Playing action video games improves visuomotor control
Li Li, Rongrong Chen, and Jing Chen · 2016
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Coupled Generative Adversarial Networks
Ming-Yu Liu and Oncel Tuzel · 2016
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Playing for data: Ground truth from computer games
Stephan R Richter, Vibhav Vineet, Stefan Roth, and Vladlen Koltun · 2016
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The synthia dataset: A large collection of synthetic images for semantic segmentation of urban scenes
German Ros, Laura Sellart, Joanna Materzynska, David Vazquez, and Antonio M Lopez · 2016
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Adapting deep visuomotor representations with weak pairwise constraints
Eric Tzeng, Coline Devin, Judy Hoffman, Chelsea Finn, Pieter Abbeel, Sergey Levine, Kate Saenko, and Trevor Darrell · 2016
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CARLA: An open urban driving simulator
Alexey Dosovitskiy, German Ros, Felipe Codevilla, Antonio Lopez, and Vladlen Koltun · 2017
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Image-to-image translation with conditional adversarial networks
Phillip Isola, Jun-Yan Zhu, Tinghui Zhou, and Alexei A. Efros · 2017
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Unsupervised Image-to-Image Translation Networks
Ming-Yu Liu, Thomas Breuel, and Jan Kautz · 2017
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Least squares generative adversarial networks
Xudong Mao, Qing Li, Haoran Xie, Raymond YK Lau, Zhen Wang, and Stephen Paul Smolley · 2017
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Playing for benchmarks
Stephan R Richter, Zeeshan Hayder, and Vladlen Koltun · 2017
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Neural stethoscopes: Unifying analytic, auxiliary and adversarial network probing
Fabian B Fuchs, Oliver Groth, Adam R Kosoriek, Alex Bewley, Markus Wulfmeier, Andrea Vedaldi, and Ingmar Posner · 2018
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CyCADA: Cycle-Consistent Adversarial Domain Adaptation
Judy Hoffman, Eric Tzeng, Taesung Park, Jun-Yan Zhu, Phillip Isola Openai, Kate Saenko, Alexei A Efros, and Trevor Darrell · 2018
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Virtual-to-real: Learning to control in visual semantic segmentation
Zhang-Wei Hong, Chen Yu-Ming, Shih-Yang Su, Tzu-Yun Shann, Yi-Hsiang Chang, Hsuan-Kung Yang, Brian Hsi-Lin Ho, Chih-Chieh Tu, Yueh-Chuan Chang, Tsu-Ching Hsiao, et al · 2018
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Multimodal Unsupervised Image-to-Image Translation
Xun Huang, Ming-Yu Liu, Serge Belongie, and Jan Kautz · 2018
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Alex Kendall, Jeffrey Hawke, David Janz, Przemyslaw Mazur, Daniele Reda, John-Mark Allen, Vinh-Dieu Lam, Alex Bewley, and Amar Shah · 2018
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Domain Randomization for Transferring Deep Neural Networks from Simulation to the Real World
Josh Tobin, Rachel Fong, Alex Ray, Jonas Schneider, Wojciech Zaremba, and Pieter Abbeel · 2017
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Improved texture networks: Maximizing quality and diversity in feed-forward stylization and texture synthesis
Dmitry Ulyanov, Andrea Vedaldi, and Victor Lempitsky · 2017
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Addressing appearance change in outdoor robotics with adversarial domain adaptation
Markus Wulfmeier, Alex Bewley, and Ingmar Posner · 2017
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Unpaired image-to-image translation using cycle-consistent adversarial networks
Jun-Yan Zhu, Taesung Park, Phillip Isola, and Alexei A Efros · 2017
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On offline evaluation of vision-based driving models
Felipe Codevilla, Antonio M. Lopez, Vladlen Koltun, and Alexey Dosovitskiy · 2018
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End-to-end driving via conditional imitation learning
Felipe Codevilla, Matthias Müller, Antonio López, Vladlen Koltun, and Alexey Dosovitskiy · 2018
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Learning end-to-end autonomous driving using guided auxiliary supervision
Ashish Mehta, Adithya Subramanian, and Anbumani Subramanian · 2018
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Driving policy transfer via modularity and abstraction
Matthias Müller, Alexey Dosovitskiy, Bernard Ghanem, and Vladen Koltun · 2018
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Semi-convolutional operators for instance segmentation
David Novotny, Samuel Albanie, Diane Larlus, and Andrea Vedaldi · 2018
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Video-to-video synthesis
Ting-Chun Wang, Ming-Yu Liu, Jun-Yan Zhu, Guilin Liu, Andrew Tao, Jan Kautz, and Bryan Catanzaro · 2018
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Modular vehicle control for transferring semantic information between weather conditions using gans
Patrick Wenzel, Qadeer Khan, Daniel Cremers, and Laura Leal-Taixe · 2018
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Incremental adversarial domain adaptation for continually changing environments
Markus Wulfmeier, Alex Bewley, and Ingmar Posner · 2018
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Vr goggles for robots: Real-to-sim domain adaptation for visual control
Jingwei Zhang, Lei Tai, Yufeng Xiong, Ming Liu, Joschka Boedecker, and Wolfram Burgard · 2018
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