Structured agents for physical construction

5 April 2019

V. Bapst

Alvaro Sanchez-Gonzalez

Carl Doersch

Kimberly L. Stachenfeld

Papers citing "Structured agents for physical construction"

22 / 22 papers shown

Title
Spatial-aware decision-making with ring attractors in reinforcement learning systems Marcos Negre Saura Richard Allmendinger Theodore Papamarkou Wei Pan 131 0 0 17 Feb 2025
Recurrent Complex-Weighted Autoencoders for Unsupervised Object Discovery Anand Gopalakrishnan Aleksandar Stanić Jürgen Schmidhuber M. C. Mozer 45 5 0 27 May 2024
Optimal Robotic Assembly Sequence Planning: A Sequential Decision-Making Approach Kartik Nagpal Negar Mehr 25 0 0 26 Oct 2023
Spatio-Temporal driven Attention Graph Neural Network with Block Adjacency matrix (STAG-NN-BA) U. Nazir W. Islam M. Taj 16 3 0 25 Mar 2023
Efficient and Feasible Robotic Assembly Sequence Planning via Graph Representation Learning Matan Atad Jianxiang Feng Ismael Rodríguez M. Durner Rudolph Triebel 22 8 0 17 Mar 2023
IKEA-Manual: Seeing Shape Assembly Step by Step Ruocheng Wang Yunzhi Zhang Jiayuan Mao Ran Zhang Chin-Yi Cheng Jiajun Wu 3DV 24 17 0 03 Feb 2023
Design Process is a Reinforcement Learning Problem Reza kakooee Benjamin Dillunberger OffRL 19 0 0 06 Nov 2022
Is an Object-Centric Video Representation Beneficial for Transfer? Chuhan Zhang Ankush Gupta Andrew Zisserman ViT 31 26 0 20 Jul 2022
Simple Unsupervised Object-Centric Learning for Complex and Naturalistic Videos Gautam Singh Yi-Fu Wu Sungjin Ahn OCL 48 114 0 27 May 2022
Learning to Assemble Geometric Shapes Jinhwi Lee Jungtaek Kim H. Chung Jaesik Park Minsu Cho 16 4 0 24 May 2022
Binding Actions to Objects in World Models Ondrej Biza Robert W. Platt Jan Willem van de Meent Lawson L. S. Wong Thomas Kipf OCL 18 7 0 27 Apr 2022
Blocks Assemble! Learning to Assemble with Large-Scale Structured Reinforcement Learning Seyed Kamyar Seyed Ghasemipour Daniel Freeman Byron David S. Gu Satoshi Kataoka Igor Mordatch OffRL 27 25 0 15 Mar 2022
Policy Architectures for Compositional Generalization in Control Allan Zhou Vikash Kumar Chelsea Finn Aravind Rajeswaran 20 22 0 10 Mar 2022
Graph-based Reinforcement Learning meets Mixed Integer Programs: An application to 3D robot assembly discovery Niklas Funk Svenja Menzenbach Georgia Chalvatzaki Jan Peters 19 13 0 08 Mar 2022
Causal-based Time Series Domain Generalization for Vehicle Intention Prediction Yeping Hu Xiaogang Jia M. Tomizuka Wei Zhan OOD 35 25 0 03 Dec 2021
Brick-by-Brick: Combinatorial Construction with Deep Reinforcement Learning H. Chung Jungtaek Kim Boris Knyazev Jinhwi Lee Graham W. Taylor Jaesik Park Minsu Cho SSL OffRL 18 20 0 29 Oct 2021
Visual scoping operations for physical assembly Felix Binder Marcelo Mattar David Kirsh Judith E. Fan 21 4 0 10 Jun 2021
CausalWorld: A Robotic Manipulation Benchmark for Causal Structure and Transfer Learning Ossama Ahmed Frederik Trauble Anirudh Goyal Alexander Neitz Yoshua Bengio Bernhard Schölkopf M. Wuthrich Stefan Bauer CML 27 120 0 08 Oct 2020
Rapid trial-and-error learning with simulation supports flexible tool use and physical reasoning Kelsey R. Allen Kevin A. Smith J. Tenenbaum LRM 28 108 0 22 Jul 2019
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 278 1,400 0 01 Dec 2016
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 244 3,236 0 24 Nov 2016