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Interactive Differentiable Simulation
v1v2v3 (latest)

Interactive Differentiable Simulation

26 May 2019
Eric Heiden
David Millard
Hejia Zhang
Gaurav Sukhatme
    OODAI4CEPINN
ArXiv (abs)PDFHTML

Papers citing "Interactive Differentiable Simulation"

15 / 15 papers shown
Title
Prof. Robot: Differentiable Robot Rendering Without Static and Self-Collisions
Prof. Robot: Differentiable Robot Rendering Without Static and Self-Collisions
Quanyuan Ruan
Jiabao Lei
Wenhao Yuan
Y. Zhang
Dekun Lu
Guiliang Liu
Kui Jia
124
0
0
14 Mar 2025
Learning Object Properties Using Robot Proprioception via Differentiable Robot-Object Interaction
Learning Object Properties Using Robot Proprioception via Differentiable Robot-Object Interaction
Julius Berner
Chao Liu
Pingchuan Ma
John Eastman
Daniela Rus
Dylan Randle
Yuri Ivanov
Wojciech Matusik
79
0
0
04 Oct 2024
Deep Lagrangian Networks: Using Physics as Model Prior for Deep Learning
Deep Lagrangian Networks: Using Physics as Model Prior for Deep Learning
M. Lutter
Christian Ritter
Jan Peters
PINNAI4CE
60
379
0
10 Jul 2019
Closing the Sim-to-Real Loop: Adapting Simulation Randomization with
  Real World Experience
Closing the Sim-to-Real Loop: Adapting Simulation Randomization with Real World Experience
Yevgen Chebotar
Ankur Handa
Viktor Makoviychuk
Miles Macklin
J. Issac
Nathan D. Ratliff
Dieter Fox
89
508
0
12 Oct 2018
Learning Particle Dynamics for Manipulating Rigid Bodies, Deformable
  Objects, and Fluids
Learning Particle Dynamics for Manipulating Rigid Bodies, Deformable Objects, and Fluids
Yunzhu Li
Jiajun Wu
Russ Tedrake
J. Tenenbaum
Antonio Torralba
PINNAI4CE
82
399
0
03 Oct 2018
Flexible Neural Representation for Physics Prediction
Flexible Neural Representation for Physics Prediction
Damian Mrowca
Chengxu Zhuang
E. Wang
Nick Haber
Li Fei-Fei
J. Tenenbaum
Daniel L. K. Yamins
OCLAI4CE
70
249
0
21 Jun 2018
SPNets: Differentiable Fluid Dynamics for Deep Neural Networks
SPNets: Differentiable Fluid Dynamics for Deep Neural Networks
Connor Schenck
Dieter Fox
PINN3DPCAI4CE
236
162
0
15 Jun 2018
Graph networks as learnable physics engines for inference and control
Graph networks as learnable physics engines for inference and control
Alvaro Sanchez-Gonzalez
N. Heess
Jost Tobias Springenberg
J. Merel
Martin Riedmiller
R. Hadsell
Peter W. Battaglia
GNNAI4CEPINNOCL
210
600
0
04 Jun 2018
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement
  Learning with a Stochastic Actor
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor
Tuomas Haarnoja
Aurick Zhou
Pieter Abbeel
Sergey Levine
314
8,396
0
04 Jan 2018
DeepMind Control Suite
DeepMind Control Suite
Yuval Tassa
Yotam Doron
Alistair Muldal
Tom Erez
Yazhe Li
...
A. Abdolmaleki
J. Merel
Andrew Lefrancq
Timothy Lillicrap
Martin Riedmiller
ELMLM&RoBDL
135
1,136
0
02 Jan 2018
OptNet: Differentiable Optimization as a Layer in Neural Networks
OptNet: Differentiable Optimization as a Layer in Neural Networks
Brandon Amos
J. Zico Kolter
163
971
0
01 Mar 2017
Interaction Networks for Learning about Objects, Relations and Physics
Interaction Networks for Learning about Objects, Relations and Physics
Peter W. Battaglia
Razvan Pascanu
Matthew Lai
Danilo Jimenez Rezende
Koray Kavukcuoglu
AI4CEOCLPINNGNN
543
1,412
0
01 Dec 2016
A Differentiable Physics Engine for Deep Learning in Robotics
A Differentiable Physics Engine for Deep Learning in Robotics
Jonas Degrave
Michiel Hermans
J. Dambre
Francis Wyffels
PINNAI4CE
77
230
0
05 Nov 2016
Unsupervised Learning for Physical Interaction through Video Prediction
Unsupervised Learning for Physical Interaction through Video Prediction
Chelsea Finn
Ian Goodfellow
Sergey Levine
76
1,045
0
23 May 2016
Continuous control with deep reinforcement learning
Continuous control with deep reinforcement learning
Timothy Lillicrap
Jonathan J. Hunt
Alexander Pritzel
N. Heess
Tom Erez
Yuval Tassa
David Silver
Daan Wierstra
320
13,272
0
09 Sep 2015
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