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2011.01734
Cited By
Differentiable Physics Models for Real-world Offline Model-based Reinforcement Learning
3 November 2020
M. Lutter
Johannes Silberbauer
Joe Watson
Jan Peters
OffRL
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Papers citing
"Differentiable Physics Models for Real-world Offline Model-based Reinforcement Learning"
31 / 31 papers shown
Floating-Base Deep Lagrangian Networks
Lucas Schulze
Juliano Negri
Victor Barasuol
V. S. Medeiros
Marcelo Becker
Jan Peters
Oleg Arenz
169
2
0
20 Oct 2025
TAG-K: Tail-Averaged Greedy Kaczmarz for Computationally Efficient and Performant Online Inertial Parameter Estimation
Shuo Sha
Anupam Bhakta
Zhenyuan Jiang
Kevin Qiu
Ishaan Mahajan
Gabriel Bravo
Brian Plancher
125
0
0
06 Oct 2025
Parameter Identification of a Differentiable Human Arm Musculoskeletal Model without Deep Muscle EMG Reconstruction
Philip Sanderink
Yingfan Zhou
Shuzhen Luo
Cheng Fang
78
0
0
26 Sep 2025
Diff-MSM: Differentiable MusculoSkeletal Model for Simultaneous Identification of Human Muscle and Bone Parameters
Yingfan Zhou
Philip Sanderink
Sigurd Jager Lemming
Cheng Fang
MedIm
94
1
0
18 Aug 2025
Reinforcement Twinning for Hybrid Control of Flapping-Wing Drones
Romain Poletti
Lorenzo Schena
Lilla Koloszar
Joris Degroote
M. A. Mendez
190
1
0
21 May 2025
Accelerating Model-Based Reinforcement Learning with State-Space World Models
Maria Krinner
Elie Aljalbout
Angel Romero
Davide Scaramuzza
OffRL
434
10
0
27 Feb 2025
Learning Object Properties Using Robot Proprioception via Differentiable Robot-Object Interaction
IEEE International Conference on Robotics and Automation (ICRA), 2024
Julius Berner
Chao Liu
Pingchuan Ma
John Eastman
Daniela Rus
Dylan Randle
Yuri Ivanov
Wojciech Matusik
394
5
0
04 Oct 2024
Enhanced Prediction of Multi-Agent Trajectories via Control Inference and State-Space Dynamics
Yu Zhang
Yongxiang Zou
Haoyu Zhang
Zeyu Liu
Houcheng Li
Long Cheng
AI4CE
329
2
0
08 Aug 2024
A Review of Differentiable Simulators
Rhys Newbury
Jack Collins
Kerry He
Jiahe Pan
Ingmar Posner
David Howard
Akansel Cosgun
AI4CE
441
44
0
08 Jul 2024
Discovering Artificial Viscosity Models for Discontinuous Galerkin Approximation of Conservation Laws using Physics-Informed Machine Learning
Matteo Caldana
P. Antonietti
Luca Dede'
AI4CE
PINN
257
5
0
26 Feb 2024
TWIST: Teacher-Student World Model Distillation for Efficient Sim-to-Real Transfer
IEEE International Conference on Robotics and Automation (ICRA), 2023
Jun Yamada
Marc Rigter
Jack Collins
Ingmar Posner
232
16
0
07 Nov 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
276
46
0
05 Sep 2023
On Physical Origins of Learning
Alex Ushveridze
AI4CE
200
0
0
27 Jul 2023
Adaptive Robotic Information Gathering via Non-Stationary Gaussian Processes
Weizhe (Wesley) Chen
Roni Khardon
Lantao Liu
427
17
0
02 Jun 2023
Diminishing Return of Value Expansion Methods in Model-Based Reinforcement Learning
International Conference on Learning Representations (ICLR), 2023
Daniel Palenicek
M. Lutter
João Carvalho
Jan Peters
215
6
0
07 Mar 2023
Data-efficient, Explainable and Safe Box Manipulation: Illustrating the Advantages of Physical Priors in Model-Predictive Control
Conference on Learning for Dynamics & Control (L4DC), 2023
Achkan Salehi
Stéphane Doncieux
OffRL
245
2
0
02 Mar 2023
Differentiable Trajectory Generation for Car-like Robots with Interpolating Radial Basis Function Networks
Hongrui Zheng
Rahul Mangharam
179
1
0
02 Mar 2023
Physics-Informed Machine Learning: A Survey on Problems, Methods and Applications
Zhongkai Hao
Songming Liu
Yichi Zhang
Chengyang Ying
Yao Feng
Hang Su
Jun Zhu
PINN
AI4CE
472
168
0
15 Nov 2022
Learning Tool Morphology for Contact-Rich Manipulation Tasks with Differentiable Simulation
IEEE International Conference on Robotics and Automation (ICRA), 2022
Mengxi Li
Rika Antonova
Dorsa Sadigh
Jeannette Bohg
231
13
0
04 Nov 2022
Inferring Smooth Control: Monte Carlo Posterior Policy Iteration with Gaussian Processes
Conference on Robot Learning (CoRL), 2022
Joe Watson
Jan Peters
324
23
0
07 Oct 2022
j-Wave: An open-source differentiable wave simulator
SoftwareX (SoftwareX), 2022
A. Stanziola
Simon Arridge
B. Cox
B. Treeby
VLM
228
34
0
30 Jun 2022
Rethinking Optimization with Differentiable Simulation from a Global Perspective
Conference on Robot Learning (CoRL), 2022
Rika Antonova
Jingyun Yang
Krishna Murthy Jatavallabhula
Jeannette Bohg
415
41
0
28 Jun 2022
DiffCloud: Real-to-Sim from Point Clouds with Differentiable Simulation and Rendering of Deformable Objects
IEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2022
Priya Sundaresan
Rika Antonova
Jeannette Bohg
3DPC
310
48
0
07 Apr 2022
A Recurrent Differentiable Engine for Modeling Tensegrity Robots Trainable with Low-Frequency Data
Kun Wang
Mridul Aanjaneya
Kostas Bekris
311
10
0
28 Feb 2022
Parameter Identification and Motion Control for Articulated Rigid Body Robots Using Differentiable Position-based Dynamics
Fei Liu
Ming Li
Jingpei Lu
Entong Su
Michael C. Yip
AI4CE
224
6
0
15 Jan 2022
Robot Learning from Randomized Simulations: A Review
Frontiers in Robotics and AI (Front. Robot. AI), 2021
Fabio Muratore
Fabio Ramos
Greg Turk
Wenhao Yu
Michael Gienger
Jan Peters
AI4CE
448
130
0
01 Nov 2021
A Differentiable Newton-Euler Algorithm for Real-World Robotics
M. Lutter
Vallijah Subasri
Joe Watson
Frank Rudzicz
261
7
0
24 Oct 2021
Combining Physics and Deep Learning to learn Continuous-Time Dynamics Models
M. Lutter
Jan Peters
PINN
AI4CE
387
81
0
05 Oct 2021
Learning Dynamics Models for Model Predictive Agents
M. Lutter
Leonard Hasenclever
Arunkumar Byravan
Gabriel Dulac-Arnold
Piotr Trochim
N. Heess
J. Merel
Yuval Tassa
AI4CE
291
31
0
29 Sep 2021
Benchmarking Structured Policies and Policy Optimization for Real-World Dexterous Object Manipulation
IEEE Robotics and Automation Letters (RA-L), 2021
Niklas Funk
Charles B. Schaff
Rishabh Madan
Takuma Yoneda
Julen Urain De Jesus
...
Stefan Bauer
S. Srinivasa
Tapomayukh Bhattacharjee
Matthew R. Walter
Jan Peters
313
39
0
05 May 2021
NeuralSim: Augmenting Differentiable Simulators with Neural Networks
Eric Heiden
David Millard
Erwin Coumans
Yizhou Sheng
Gaurav Sukhatme
376
171
0
09 Nov 2020
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