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Interactive Differentiable Simulation
26 May 2019
Eric Heiden
David Millard
Hejia Zhang
Gaurav Sukhatme
OOD
AI4CE
PINN
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Papers citing
"Interactive Differentiable Simulation"
15 / 15 papers shown
Title
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
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
M. Lutter
Christian Ritter
Jan Peters
PINN
AI4CE
60
379
0
10 Jul 2019
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
Yunzhu Li
Jiajun Wu
Russ Tedrake
J. Tenenbaum
Antonio Torralba
PINN
AI4CE
82
399
0
03 Oct 2018
Flexible Neural Representation for Physics Prediction
Damian Mrowca
Chengxu Zhuang
E. Wang
Nick Haber
Li Fei-Fei
J. Tenenbaum
Daniel L. K. Yamins
OCL
AI4CE
70
249
0
21 Jun 2018
SPNets: Differentiable Fluid Dynamics for Deep Neural Networks
Connor Schenck
Dieter Fox
PINN
3DPC
AI4CE
236
162
0
15 Jun 2018
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
GNN
AI4CE
PINN
OCL
210
600
0
04 Jun 2018
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
Yuval Tassa
Yotam Doron
Alistair Muldal
Tom Erez
Yazhe Li
...
A. Abdolmaleki
J. Merel
Andrew Lefrancq
Timothy Lillicrap
Martin Riedmiller
ELM
LM&Ro
BDL
135
1,136
0
02 Jan 2018
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
Peter W. Battaglia
Razvan Pascanu
Matthew Lai
Danilo Jimenez Rezende
Koray Kavukcuoglu
AI4CE
OCL
PINN
GNN
543
1,412
0
01 Dec 2016
A Differentiable Physics Engine for Deep Learning in Robotics
Jonas Degrave
Michiel Hermans
J. Dambre
Francis Wyffels
PINN
AI4CE
77
230
0
05 Nov 2016
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
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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