Learning To Simulate

5 October 2018

Nataniel Ruiz

Papers citing "Learning To Simulate"

25 / 75 papers shown

Title
Learning to simulate complex scenes Zhenfeng Xue W. Mao Liang Zheng 3DV 6 6 0 25 Jun 2020
Sim-to-Real Transfer with Incremental Environment Complexity for Reinforcement Learning of Depth-Based Robot Navigation Thomas Chaffre Julien Moras Adrien Chan-Hon-Tong J. Marzat 12 36 0 30 Apr 2020
Meta-Learning in Neural Networks: A Survey Timothy M. Hospedales Antreas Antoniou P. Micaelli Amos Storkey OOD 38 1,926 0 11 Apr 2020
SimAug: Learning Robust Representations from Simulation for Trajectory Prediction Junwei Liang Lu Jiang Alexander G. Hauptmann 28 18 0 04 Apr 2020
StyleGAN2 Distillation for Feed-forward Image Manipulation Yuri Viazovetskyi V. Ivashkin Evgenii Kashin 156 134 0 07 Mar 2020
Data-efficient Domain Randomization with Bayesian Optimization Fabio Muratore C. Eilers Michael Gienger Jan Peters OOD 70 78 0 05 Mar 2020
Learning to Simulate Complex Physics with Graph Networks Alvaro Sanchez-Gonzalez Jonathan Godwin Tobias Pfaff Rex Ying J. Leskovec Peter W. Battaglia PINN AI4CE 51 1,045 0 21 Feb 2020
Black-Box Optimization with Local Generative Surrogates S. Shirobokov V. Belavin Michael Kagan Andrey Ustyuzhanin A. G. Baydin 8 3 0 11 Feb 2020
Neural Data Server: A Large-Scale Search Engine for Transfer Learning Data Xi Yan David Acuna Sanja Fidler 19 42 0 09 Jan 2020
Simulating Content Consistent Vehicle Datasets with Attribute Descent Yue Yao Liang Zheng Xiaodong Yang M. Naphade Tom Gedeon 68 126 0 18 Dec 2019
Get Real: Realism Metrics for Robust Limit Order Book Market Simulations Svitlana Vyetrenko David Byrd Nick Petosa Mahmoud Mahfouz Danial Dervovic Manuela Veloso T. Balch 7 66 0 10 Dec 2019
Increasing Generality in Machine Learning through Procedural Content Generation S. Risi Julian Togelius 18 123 0 29 Nov 2019
Solving Rubik's Cube with a Robot Hand OpenAI Ilge Akkaya Marcin Andrychowicz Maciek Chociej Ma-teusz Litwin ... Peter Welinder Lilian Weng Qiming Yuan Wojciech Zaremba Lei Zhang ODL 17 1,205 0 16 Oct 2019
Unsupervised Doodling and Painting with Improved SPIRAL John F. J. Mellor Eunbyung Park Yaroslav Ganin Igor Babuschkin Tejas D. Kulkarni Dan Rosenbaum Andy Ballard T. Weber Oriol Vinyals S. M. Ali Eslami 14 44 0 02 Oct 2019
Synthetic Data for Deep Learning Sergey I. Nikolenko 36 348 0 25 Sep 2019
AutoML: A Survey of the State-of-the-Art Xin He Kaiyong Zhao X. Chu 17 1,416 0 02 Aug 2019
Learning to Generate Synthetic 3D Training Data through Hybrid Gradient Dawei Yang Jia Deng 3DH 11 5 0 29 Jun 2019
Risk-Sensitive Compact Decision Trees for Autonomous Execution in Presence of Simulated Market Response Svitlana Vyetrenko Shaojie Xu 11 14 0 05 Jun 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 8 247 0 25 Apr 2019
Active Domain Randomization Bhairav Mehta Manfred Diaz Florian Golemo C. Pal Liam Paull 8 255 0 09 Apr 2019
Informed Machine Learning -- A Taxonomy and Survey of Integrating Knowledge into Learning Systems Laura von Rueden S. Mayer Katharina Beckh B. Georgiev Sven Giesselbach ... Rajkumar Ramamurthy Michal Walczak Jochen Garcke Christian Bauckhage Jannis Schuecker 22 626 0 29 Mar 2019
How to pick the domain randomization parameters for sim-to-real transfer of reinforcement learning policies? Q. Vuong Sharad Vikram H. Su Sicun Gao Henrik I. Christensen OOD 6 47 0 28 Mar 2019
Learning to Augment Synthetic Images for Sim2Real Policy Transfer Alexander Pashevich Robin Strudel Igor Kalevatykh Ivan Laptev Cordelia Schmid 8 45 0 18 Mar 2019
Neural Architecture Search with Reinforcement Learning Barret Zoph Quoc V. Le 264 5,326 0 05 Nov 2016
Effective Approaches to Attention-based Neural Machine Translation Thang Luong Hieu H. Pham Christopher D. Manning 214 7,923 0 17 Aug 2015