Combining Physical Simulators and Object-Based Networks for Control

Combining Physical Simulators and Object-Based Networks for Control

13 April 2019

Jiajun Wu

Alberto Rodriguez

Papers citing "Combining Physical Simulators and Object-Based Networks for Control"

14 / 14 papers shown

Title
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 56 7 0 21 Nov 2023
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 69 8 0 22 Apr 2023
AdaptSim: Task-Driven Simulation Adaptation for Sim-to-Real Transfer Allen Z. Ren Hongkai Dai Benjamin Burchfiel Anirudha Majumdar 29 14 0 09 Feb 2023
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 43 74 0 28 Oct 2021
Block Contextual MDPs for Continual Learning Shagun Sodhani Franziska Meier Joelle Pineau Amy Zhang CLL 43 26 0 13 Oct 2021
Physion: Evaluating Physical Prediction from Vision in Humans and Machines Daniel M. Bear E. Wang Damian Mrowca Felix Binder Hsiau-Yu Fish Tung ... Li Fei-Fei Nancy Kanwisher J. Tenenbaum Daniel L. K. Yamins Judith E. Fan OOD 63 87 0 15 Jun 2021
Fundamental Challenges in Deep Learning for Stiff Contact Dynamics Mihir Parmar Mathew Halm Michael Posa 29 36 0 29 Mar 2021
HyperDynamics: Meta-Learning Object and Agent Dynamics with Hypernetworks Zhou Xian Shamit Lal H. Tung Emmanouil Antonios Platanios Katerina Fragkiadaki AI4CE 35 23 0 17 Mar 2021
Physics-Integrated Variational Autoencoders for Robust and Interpretable Generative Modeling Naoya Takeishi Alexandros Kalousis DRL AI4CE 40 54 0 25 Feb 2021
Sim2Sim Evaluation of a Novel Data-Efficient Differentiable Physics Engine for Tensegrity Robots Kun Wang Mridul Aanjaneya Kostas Bekris 24 15 0 10 Nov 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 12 21 0 28 Apr 2020
Learning Data-Efficient Rigid-Body Contact Models: Case Study of Planar Impact Nima Fazeli Samuel Zapolsky Evan Drumwright Alberto Rodriguez PINN 30 30 0 16 Oct 2017
A Compositional Object-Based Approach to Learning Physical Dynamics Michael Chang T. Ullman Antonio Torralba J. Tenenbaum AI4CE OCL 256 439 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 283 1,401 0 01 Dec 2016