Propagation Networks for Model-Based Control Under Partial Observation

28 September 2018

Yunzhu Li

Jiajun Wu

Jun-Yan Zhu

Antonio Torralba

Papers citing "Propagation Networks for Model-Based Control Under Partial Observation"

29 / 29 papers shown

Title
BaB-ND: Long-Horizon Motion Planning with Branch-and-Bound and Neural Dynamics Keyi Shen Jiangwei Yu Huan Zhang Yunzhu Li Yunzhu Li 87 1 0 12 Dec 2024
Object-centric proto-symbolic behavioural reasoning from pixels R. S. V. Bergen Justus F. Hübotter Pablo Lanillos LM&Ro OCL 93 0 0 26 Nov 2024
ContPhy: Continuum Physical Concept Learning and Reasoning from Videos Zhicheng Zheng Xin Yan Zhenfang Chen Jingzhou Wang Qin Zhi Eddie Lim Joshua B. Tenenbaum Chuang Gan LRM 37 6 0 09 Feb 2024
3D-IntPhys: Towards More Generalized 3D-grounded Visual Intuitive Physics under Challenging Scenes Haotian Xue Antonio Torralba J. Tenenbaum Daniel L. K. Yamins Yunzhu Li H. Tung PINN VGen AI4CE 61 8 0 22 Apr 2023
Neural Partial Differential Equations with Functional Convolution Z. Wu Xingzhe He Yijun Li Cheng Yang Rui Liu S. Xiong Bo Zhu 23 1 0 10 Mar 2023
MultiScale MeshGraphNets Meire Fortunato Tobias Pfaff Peter Wirnsberger Alexander Pritzel Peter W. Battaglia AI4CE 30 68 0 02 Oct 2022
EDO-Net: Learning Elastic Properties of Deformable Objects from Graph Dynamics A. Longhini Marco Moletta Alfredo Reichlin Michael C. Welle David Held Zackory M. Erickson Danica Kragic AI4CE 22 20 0 19 Sep 2022
Elastic Context: Encoding Elasticity for Data-driven Models of Textiles A. Longhini Marco Moletta Alfredo Reichlin Michael C. Welle Alexander Kravberg Yufei Wang David Held Zackory M. Erickson Danica Kragic 22 7 0 12 Sep 2022
Fast Simulation of Particulate Suspensions Enabled by Graph Neural Network Zhan Ma Zisheng Ye Wenxiao Pan 34 14 0 17 Jun 2022
Towards Fast Simulation of Environmental Fluid Mechanics with Multi-Scale Graph Neural Networks Mario Lino Stathi Fotiadis Anil A. Bharath C. Cantwell AI4CE 11 12 0 05 May 2022
DiffSkill: Skill Abstraction from Differentiable Physics for Deformable Object Manipulations with Tools Xingyu Lin Zhiao Huang Yunzhu Li J. Tenenbaum David Held Chuang Gan 27 72 0 31 Mar 2022
When Physics Meets Machine Learning: A Survey of Physics-Informed Machine Learning Chuizheng Meng Sungyong Seo Defu Cao Sam Griesemer Yan Liu PINN AI4CE 39 55 0 31 Mar 2022
ACID: Action-Conditional Implicit Visual Dynamics for Deformable Object Manipulation Bokui Shen Zhenyu Jiang Chris Choy Leonidas J. Guibas Silvio Savarese Anima Anandkumar Yuke Zhu AI4CE 14 41 0 14 Mar 2022
STEADY: Simultaneous State Estimation and Dynamics Learning from Indirect Observations Jiayi Wei Jarrett Holtz Işıl Dillig Joydeep Biswas 31 4 0 02 Mar 2022
KINet: Unsupervised Forward Models for Robotic Pushing Manipulation Alireza Rezazadeh Changhyun Choi SSL 3DPC 24 3 0 18 Feb 2022
Learning to Simulate Unseen Physical Systems with Graph Neural Networks Ce Yang Weihao Gao Di Wu Chong-Jun Wang PINN AI4CE 22 4 0 28 Jan 2022
Constructing Neural Network-Based Models for Simulating Dynamical Systems Christian Møldrup Legaard Thomas Schranz G. Schweiger Ján Drgovna Basak Falay C. Gomes Alexandros Iosifidis M. Abkar P. Larsen PINN AI4CE 28 93 0 02 Nov 2021
Dynamic Visual Reasoning by Learning Differentiable Physics Models from Video and Language Mingyu Ding Zhenfang Chen Tao Du Ping Luo J. Tenenbaum Chuang Gan VGen PINN OCL 30 74 0 28 Oct 2021
Neuro-Symbolic AI: An Emerging Class of AI Workloads and their Characterization Zachary Susskind Bryce Arden L. John Patrick A Stockton E. John NAI 27 40 0 13 Sep 2021
Grounding Physical Concepts of Objects and Events Through Dynamic Visual Reasoning Zhenfang Chen Jiayuan Mao Jiajun Wu Kwan-Yee Kenneth Wong J. Tenenbaum Chuang Gan VGen 36 92 0 30 Mar 2021
Learning Long-term Visual Dynamics with Region Proposal Interaction Networks Haozhi Qi Xiaolong Wang Deepak Pathak Yi-An Ma Jitendra Malik 28 56 0 05 Aug 2020
Learning Physical Constraints with Neural Projections Shuqi Yang Xingzhe He Bo Zhu 3DV AI4CE 33 25 0 23 Jun 2020
A First Principles Approach for Data-Efficient System Identification of Spring-Rod Systems via Differentiable Physics Engines Kun Wang Mridul Aanjaneya Kostas Bekris PINN 6 21 0 28 Apr 2020
Learning to Simulate Complex Physics with Graph Networks Alvaro Sanchez-Gonzalez Jonathan Godwin Tobias Pfaff Rex Ying J. Leskovec Peter W. Battaglia PINN AI4CE 51 1,047 0 21 Feb 2020
Self-Supervised Learning of State Estimation for Manipulating Deformable Linear Objects Mengyuan Yan Yilin Zhu Ning Jin Jeannette Bohg SSL 23 146 0 14 Nov 2019
Belief Regulated Dual Propagation Nets for Learning Action Effects on Groups of Articulated Objects Ahmet E. Tekden Aykut Erdem Erkut Erdem Mert Imre M. Seker Emre Ugur AI4CE 24 17 0 09 Sep 2019
Learning Particle Dynamics for Manipulating Rigid Bodies, Deformable Objects, and Fluids Yunzhu Li Jiajun Wu Russ Tedrake J. Tenenbaum Antonio Torralba PINN AI4CE 27 388 0 03 Oct 2018
A Compositional Object-Based Approach to Learning Physical Dynamics Michael Chang T. Ullman Antonio Torralba J. Tenenbaum AI4CE OCL 241 438 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 280 1,400 0 01 Dec 2016