A Review of Differentiable Simulators

A Review of Differentiable Simulators

8 July 2024

Jack Collins

Papers citing "A Review of Differentiable Simulators"

16 / 16 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 59 0 0 14 Mar 2025
Stabilizing Reinforcement Learning in Differentiable Multiphysics Simulation Eliot Xing Vernon Luk Jean Oh 82 0 0 16 Dec 2024
Improving Gradient Computation for Differentiable Physics Simulation with Contacts Yaofeng Desmond Zhong Jiequn Han Biswadip Dey Georgia Olympia Brikis 17 3 0 28 Apr 2023
DiffMimic: Efficient Motion Mimicking with Differentiable Physics Jiawei Ren Cunjun Yu Siwei Chen Xiao Ma Liang Pan Ziwei Liu 26 19 0 06 Apr 2023
DexDeform: Dexterous Deformable Object Manipulation with Human Demonstrations and Differentiable Physics Sizhe Li Zhiao Huang Tao Chen Tao Du Hao Su J. Tenenbaum Chuang Gan 78 19 0 27 Mar 2023
Training Efficient Controllers via Analytic Policy Gradient Nina Wiedemann Valentin Wüest Antonio Loquercio M. Müller Dario Floreano Davide Scaramuzza OffRL 14 16 0 26 Sep 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 51 19 0 08 Jul 2022
Rethinking Optimization with Differentiable Simulation from a Global Perspective Rika Antonova Jingyun Yang Krishna Murthy Jatavallabhula Jeannette Bohg 76 32 0 28 Jun 2022
Differentiable Dynamics for Articulated 3d Human Motion Reconstruction Erik Gartner Mykhaylo Andriluka Erwin Coumans C. Sminchisescu 3DH 35 39 0 24 May 2022
Fine-grained differentiable physics: a yarn-level model for fabrics Deshan Gong Zhanxing Zhu A. Bulpitt He-Nan Wang AI4CE 29 10 0 01 Feb 2022
Follow the Gradient: Crossing the Reality Gap using Differentiable Physics (RealityGrad) J. Collins Ross Brown Jurgen Leitner David Howard AI4CE 16 4 0 10 Sep 2021
Imagining The Road Ahead: Multi-Agent Trajectory Prediction via Differentiable Simulation Adam Scibior Vasileios Lioutas Daniele Reda Peyman Bateni Frank D. Wood VGen 40 47 0 22 Apr 2021
Extending Lagrangian and Hamiltonian Neural Networks with Differentiable Contact Models Yaofeng Desmond Zhong Biswadip Dey Amit Chakraborty 52 34 0 12 Feb 2021
SPNets: Differentiable Fluid Dynamics for Deep Neural Networks Connor Schenck D. Fox PINN 3DPC AI4CE 165 161 0 15 Jun 2018
A Compositional Object-Based Approach to Learning Physical Dynamics Michael Chang T. Ullman Antonio Torralba J. Tenenbaum AI4CE OCL 232 438 0 01 Dec 2016
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 258 1,394 0 01 Dec 2016