Accelerated Policy Learning with Parallel Differentiable Simulation

14 April 2022

Papers citing "Accelerated Policy Learning with Parallel Differentiable Simulation"

20 / 20 papers shown

Title
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 51 0 0 06 Mar 2025
Is Bellman Equation Enough for Learning Control? Haoxiang You Lekan Molu Ian Abraham 68 0 0 04 Mar 2025
Physics-Grounded Differentiable Simulation for Soft Growing Robots Lucas Chen Yitian Gao Sicheng Wang Francesco Fuentes Laura H. Blumenschein Zachary Kingston 38 0 0 29 Jan 2025
ABPT: Amended Backpropagation through Time with Partially Differentiable Rewards Fanxing Li Fangyu Sun Tianbao Zhang Danping Zou 37 0 0 24 Jan 2025
Gradient-based Trajectory Optimization with Parallelized Differentiable Traffic Simulation Sanghyun Son L. Zheng Brian Clipp Connor Greenwell Sujin Philip Ming-Chyuan Lin 74 0 0 21 Dec 2024
Stabilizing Reinforcement Learning in Differentiable Multiphysics Simulation Eliot Xing Vernon Luk Jean Oh 84 0 0 16 Dec 2024
Learning Quadrotor Control From Visual Features Using Differentiable Simulation Johannes Heeg Yunlong Song Davide Scaramuzza 35 4 0 21 Oct 2024
A Differentiable Material Point Method Framework for Shape Morphing Michael Xu Chang-Yong Song David I. W. Levin David Hyde 26 1 0 24 Sep 2024
Task-optimal data-driven surrogate models for eNMPC via differentiable simulation and optimization Daniel Mayfrank Na Young Ahn Alexander Mitsos Manuel Dahmen 24 2 0 21 Mar 2024
Gradient Informed Proximal Policy Optimization Sanghyun Son L. Zheng Ryan Sullivan Yi-Ling Qiao Ming-Chyuan Lin 32 7 0 14 Dec 2023
Differentiable Visual Computing for Inverse Problems and Machine Learning Andrew Spielberg Fangcheng Zhong Konstantinos Rematas Krishna Murthy Jatavallabhula Cengiz Öztireli Tzu-Mao Li Derek Nowrouzezahrai 38 7 0 21 Nov 2023
Natural and Robust Walking using Reinforcement Learning without Demonstrations in High-Dimensional Musculoskeletal Models Pierre Schumacher Thomas Geijtenbeek Vittorio Caggiano Vikash Kumar S. Schmitt Georg Martius D. Haeufle OOD OffRL 34 9 0 06 Sep 2023
Improving Gradient Computation for Differentiable Physics Simulation with Contacts Yaofeng Desmond Zhong Jiequn Han Biswadip Dey Georgia Olympia Brikis 33 3 0 28 Apr 2023
Solving Continuous Control via Q-learning Tim Seyde Peter Werner Wilko Schwarting Igor Gilitschenski Martin Riedmiller Daniela Rus Markus Wulfmeier OffRL LRM 27 22 0 22 Oct 2022
Grasp'D: Differentiable Contact-rich Grasp Synthesis for Multi-fingered Hands Dylan Turpin Liquang Wang Eric Heiden Yun-Chun Chen Miles Macklin Stavros Tsogkas Sven J. Dickinson Animesh Garg 13 67 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 21 0 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 28 15 0 19 Jul 2022
Control of Two-way Coupled Fluid Systems with Differentiable Solvers B. Ramos Felix Trost Nils Thuerey AI4CE 9 5 0 01 Jun 2022
Differentiable solver for time-dependent deformation problems with contact Zizhou Huang Davi C. Tozoni Arvi Gjoka Z. Ferguson T. Schneider Daniele Panozzo Denis Zorin AI4CE 23 18 0 26 May 2022
DeepMimic: Example-Guided Deep Reinforcement Learning of Physics-Based Character Skills Xue Bin Peng Pieter Abbeel Sergey Levine M. van de Panne AI4CE 169 495 0 08 Apr 2018