Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
2204.07137
Cited By
Accelerated Policy Learning with Parallel Differentiable Simulation
International Conference on Learning Representations (ICLR), 2022
14 April 2022
Jie Xu
Viktor Makoviychuk
Yashraj S. Narang
Fabio Ramos
Wojciech Matusik
Animesh Garg
Lukasz Wawrzyniak
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"Accelerated Policy Learning with Parallel Differentiable Simulation"
49 / 49 papers shown
Title
Staggered Environment Resets Improve Massively Parallel On-Policy Reinforcement Learning
Sid Bharthulwar
Stone Tao
Hao Su
OffRL
202
0
0
26 Nov 2025
First-order Sobolev Reinforcement Learning
Fabian Schramm
Nicolas Perrin-Gilbert
Justin Carpentier
40
0
0
24 Nov 2025
DDBot: Differentiable Physics-based Digging Robot for Unknown Granular Materials
Xintong Yang
Minglun Wei
Ze Ji
Yu-kun Lai
AI4CE
168
0
0
20 Oct 2025
UrbanVerse: Scaling Urban Simulation by Watching City-Tour Videos
Mingxuan Liu
Honglin He
Elisa Ricci
Wayne Wu
Bolei Zhou
VGen
128
0
0
16 Oct 2025
Efficient Differentiable Contact Model with Long-range Influence
Xiaohan Ye
Kui Wu
Zherong Pan
Taku Komura
100
0
0
25 Sep 2025
DynaFlow: Dynamics-embedded Flow Matching for Physically Consistent Motion Generation from State-only Demonstrations
Sowoo Lee
Dongyun Kang
Jaehyun Park
Hae-Won Park
AI4CE
300
0
0
24 Sep 2025
StableTracker: Learning to Stably Track Target via Differentiable Simulation
Fanxing Li
Shengyang Wang
Fangyu Sun
Shuyu Wu
Dexin Zuo
Wenxian Yu
Danping Zou
144
0
0
17 Sep 2025
DiffAero: A GPU-Accelerated Differentiable Simulation Framework for Efficient Quadrotor Policy Learning
Xinhong Zhang
Runqing Wang
Yunfan Ren
Jian Sun
H. Fang
Jie Chen
G. Wang
128
0
0
12 Sep 2025
First Order Model-Based RL through Decoupled Backpropagation
Joseph Amigo
Rooholla Khorrambakht
Elliot Chane-Sane
Nicolas Mansard
Ludovic Righetti
142
0
0
29 Aug 2025
Learning on the Fly: Rapid Policy Adaptation via Differentiable Simulation
Jiahe Pan
Jiaxu Xing
Rudolf Reiter
Yifan Zhai
Elie Aljalbout
Davide Scaramuzza
140
1
0
28 Aug 2025
Reparameterization Proximal Policy Optimization
Hai Zhong
Xun Wang
Zhuoran Li
Longbo Huang
169
0
0
08 Aug 2025
Relative Entropy Pathwise Policy Optimization
C. Voelcker
Axel Brunnbauer
Marcel Hussing
Michal Nauman
Pieter Abbeel
Eric Eaton
Radu Grosu
Amir-massoud Farahmand
Igor Gilitschenski
321
0
0
15 Jul 2025
Time-Aware World Model for Adaptive Prediction and Control
Anh N. Nhu
Sanghyun Son
Ming-Chyuan Lin
AI4TS
TTA
210
1
0
10 Jun 2025
Accelerated Learning with Linear Temporal Logic using Differentiable Simulation
Alper Kamil Bozkurt
Calin Belta
Ming C. Lin
239
0
0
01 Jun 2025
Accelerating Visual-Policy Learning through Parallel Differentiable Simulation
Haoxiang You
Yilang Liu
Ian Abraham
345
0
0
15 May 2025
GRaD-Nav: Efficiently Learning Visual Drone Navigation with Gaussian Radiance Fields and Differentiable Dynamics
Qianzhong Chen
Jiankai Sun
Naixiang Gao
JunEn Low
Timothy Chen
Mac Schwager
355
6
0
06 Mar 2025
Accelerating Model-Based Reinforcement Learning with State-Space World Models
Maria Krinner
Elie Aljalbout
Angel Romero
Davide Scaramuzza
OffRL
231
7
0
27 Feb 2025
Physics-Grounded Differentiable Simulation for Soft Growing Robots
International Conference on Soft Robotics (RoboSoft), 2025
Lucas Chen
Yitian Gao
Sicheng Wang
Francesco Fuentes
Laura H. Blumenschein
Zachary Kingston
270
5
0
29 Jan 2025
ABPT: Amended Backpropagation through Time with Partially Differentiable Rewards
Fanxing Li
Fangyu Sun
Tianbao Zhang
Danping Zou
254
1
0
24 Jan 2025
Gradient-based Trajectory Optimization with Parallelized Differentiable Traffic Simulation
IEEE International Conference on Robotics and Automation (ICRA), 2024
Sanghyun Son
L. Zheng
Brian Clipp
Connor Greenwell
Sujin Philip
Ming-Chyuan Lin
445
1
0
21 Dec 2024
Stabilizing Reinforcement Learning in Differentiable Multiphysics Simulation
International Conference on Learning Representations (ICLR), 2024
Eliot Xing
Vernon Luk
Jean Oh
368
10
0
16 Dec 2024
Safe Reinforcement Learning using Finite-Horizon Gradient-based Estimation
International Conference on Machine Learning (ICML), 2024
Juntao Dai
Yaodong Yang
Qian Zheng
Gang Pan
OffRL
264
3
0
15 Dec 2024
Learning Quadrotor Control From Visual Features Using Differentiable Simulation
IEEE International Conference on Robotics and Automation (ICRA), 2024
Johannes Heeg
Yunlong Song
Davide Scaramuzza
266
15
0
21 Oct 2024
Multilingual Topic Classification in X: Dataset and Analysis
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2024
Dimosthenis Antypas
Asahi Ushio
Francesco Barbieri
Jose Camacho-Collados
218
1
0
04 Oct 2024
Evolution and learning in differentiable robots
Luke Strgar
David Matthews
Tyler Hummer
Sam Kriegman
162
7
0
23 May 2024
Differentiable Particles for General-Purpose Deformable Object Manipulation
Siwei Chen
Yiqing Xu
Cunjun Yu
Linfeng Li
David Hsu
228
12
0
02 May 2024
SpringGrasp: Synthesizing Compliant, Dexterous Grasps under Shape Uncertainty
Sirui Chen
Jeannette Bohg
Karen Liu
308
6
0
21 Apr 2024
Benchmarking Population-Based Reinforcement Learning across Robotic Tasks with GPU-Accelerated Simulation
Asad Ali Shahid
Yashraj S. Narang
Vincenzo Petrone
Enrico Ferrentino
Ankur Handa
Dieter Fox
Marco Pavone
L. Roveda
387
2
0
04 Apr 2024
Task-optimal data-driven surrogate models for eNMPC via differentiable simulation and optimization
Daniel Mayfrank
Na Young Ahn
Alexander Mitsos
Manuel Dahmen
418
2
0
21 Mar 2024
Hierarchical Diffusion Policy for Kinematics-Aware Multi-Task Robotic Manipulation
Xiao Ma
Sumit Patidar
Iain Haughton
Stephen James
234
100
0
06 Mar 2024
Do Transformer World Models Give Better Policy Gradients?
Michel Ma
Tianwei Ni
Clement Gehring
P. DÓro
Pierre-Luc Bacon
259
5
0
07 Feb 2024
DeepSimHO: Stable Pose Estimation for Hand-Object Interaction via Physics Simulation
Neural Information Processing Systems (NeurIPS), 2023
Rong Wang
Wei Mao
Hongdong Li
3DH
269
13
0
11 Oct 2023
A Survey on Physics Informed Reinforcement Learning: Review and Open Problems
Expert systems with applications (ESWA), 2023
C. Banerjee
Kien Nguyen
Clinton Fookes
M. Raissi
PINN
AI4CE
231
26
0
05 Sep 2023
End-to-End Reinforcement Learning of Koopman Models for Economic Nonlinear Model Predictive Control
Computers and Chemical Engineering (Comput. Chem. Eng.), 2023
Daniel Mayfrank
Alexander Mitsos
Manuel Dahmen
307
7
0
03 Aug 2023
Fast-Grasp'D: Dexterous Multi-finger Grasp Generation Through Differentiable Simulation
IEEE International Conference on Robotics and Automation (ICRA), 2023
Dylan Turpin
Tao P. Zhong
Shutong Zhang
Guanglei Zhu
Jingzhou Liu
...
Eric Heiden
Lukasz Wawrzyniak
Stavros Tsogkas
Sven J. Dickinson
Animesh Garg
268
51
0
13 Jun 2023
Galactic: Scaling End-to-End Reinforcement Learning for Rearrangement at 100k Steps-Per-Second
Computer Vision and Pattern Recognition (CVPR), 2023
Vincent-Pierre Berges
Andrew Szot
Devendra Singh Chaplot
Aaron Gokaslan
Roozbeh Mottaghi
Dhruv Batra
Eric Undersander
LRM
LM&Ro
233
7
0
13 Jun 2023
Synthesizing Stable Reduced-Order Visuomotor Policies for Nonlinear Systems via Sums-of-Squares Optimization
IEEE Conference on Decision and Control (CDC), 2023
Glen Chou
Russ Tedrake
307
3
0
24 Apr 2023
DiffMimic: Efficient Motion Mimicking with Differentiable Physics
International Conference on Learning Representations (ICLR), 2023
Jiawei Ren
Cunjun Yu
Siwei Chen
Xiao Ma
Liang Pan
Ziwei Liu
206
21
0
06 Apr 2023
DefGraspNets: Grasp Planning on 3D Fields with Graph Neural Nets
IEEE International Conference on Robotics and Automation (ICRA), 2023
Isabella Huang
Yashraj S. Narang
R. Bajcsy
Fabio Ramos
Tucker Hermans
Dieter Fox
123
14
0
28 Mar 2023
DaXBench: Benchmarking Deformable Object Manipulation with Differentiable Physics
International Conference on Learning Representations (ICLR), 2022
Siwei Chen
Yiqing Xu
Cunjun Yu
Linfeng Li
Xiao Ma
Zhongwen Xu
David Hsu
AI4CE
182
24
0
24 Oct 2022
Solving Continuous Control via Q-learning
International Conference on Learning Representations (ICLR), 2022
Tim Seyde
Peter Werner
Wilko Schwarting
Igor Gilitschenski
Martin Riedmiller
Daniela Rus
Markus Wulfmeier
OffRL
LRM
198
29
0
22 Oct 2022
NeuPhysics: Editable Neural Geometry and Physics from Monocular Videos
Neural Information Processing Systems (NeurIPS), 2022
Yi-Ling Qiao
Alexander Gao
Ming-Chyuan Lin
3DH
191
48
0
22 Oct 2022
Conservative Dual Policy Optimization for Efficient Model-Based Reinforcement Learning
Neural Information Processing Systems (NeurIPS), 2022
Shen Zhang
138
6
0
16 Sep 2022
Grasp'D: Differentiable Contact-rich Grasp Synthesis for Multi-fingered Hands
European Conference on Computer Vision (ECCV), 2022
Dylan Turpin
Liquang Wang
Eric Heiden
Yun-Chun Chen
Lukasz Wawrzyniak
Stavros Tsogkas
Sven J. Dickinson
Animesh Garg
209
88
0
25 Aug 2022
What deep reinforcement learning tells us about human motor learning and vice-versa
Michele Garibbo
Casimir J. H. Ludwig
Nathan Lepora
Laurence Aitchison
161
1
0
23 Aug 2022
Bayesian Generational Population-Based Training
Xingchen Wan
Cong Lu
Jack Parker-Holder
Philip J. Ball
Vu-Linh Nguyen
Binxin Ru
Michael A. Osborne
OffRL
143
20
0
19 Jul 2022
Differentiable Physics Simulations with Contacts: Do They Have Correct Gradients w.r.t. Position, Velocity and Control?
Yaofeng Desmond Zhong
Jiequn Han
Georgia Olympia Brikis
193
21
0
08 Jul 2022
Control of Two-way Coupled Fluid Systems with Differentiable Solvers
B. Ramos
Felix Trost
Nils Thuerey
AI4CE
218
7
0
01 Jun 2022
Differentiable solver for time-dependent deformation problems with contact
ACM Transactions on Graphics (TOG), 2022
Zizhou Huang
Davi C. Tozoni
Arvi Gjoka
Z. Ferguson
T. Schneider
Daniele Panozzo
Denis Zorin
AI4CE
437
29
0
26 May 2022
1