A Differentiable Physics Engine for Deep Learning in Robotics

5 November 2016

Papers citing "A Differentiable Physics Engine for Deep Learning in Robotics"

9 / 59 papers shown

Title
Driving Reinforcement Learning with Models Meghana Rathi P. Ferraro G. Russo 15 10 0 11 Nov 2019
Physics-as-Inverse-Graphics: Unsupervised Physical Parameter Estimation from Video Miguel Jaques Michael G. Burke Timothy M. Hospedales VGen PINN 21 45 0 27 May 2019
Interactive Differentiable Simulation Eric Heiden David Millard Hejia Zhang Gaurav Sukhatme OOD AI4CE PINN 8 50 0 26 May 2019
Learning Particle Dynamics for Manipulating Rigid Bodies, Deformable Objects, and Fluids Yunzhu Li Jiajun Wu Russ Tedrake J. Tenenbaum Antonio Torralba PINN AI4CE 32 389 0 03 Oct 2018
ChainQueen: A Real-Time Differentiable Physical Simulator for Soft Robotics Yuanming Hu Jiancheng Liu Andrew Spielberg J. Tenenbaum William T. Freeman Jiajun Wu Daniela Rus Wojciech Matusik AI4CE 28 262 0 02 Oct 2018
SPNets: Differentiable Fluid Dynamics for Deep Neural Networks Connor Schenck Dieter Fox PINN 3DPC AI4CE 185 162 0 15 Jun 2018
Combining Learned and Analytical Models for Predicting Action Effects from Sensory Data Alina Kloss S. Schaal Jeannette Bohg 40 85 0 11 Oct 2017
Optimization Beyond the Convolution: Generalizing Spatial Relations with End-to-End Metric Learning P. Jund Andreas Eitel N. Abdo Wolfram Burgard 3DPC 24 19 0 04 Jul 2017
A Learned Representation For Artistic Style Vincent Dumoulin Jonathon Shlens M. Kudlur GAN 214 1,156 0 24 Oct 2016