Scalable Perception-Action-Communication Loops with Convolutional and Graph Neural Networks

24 June 2021

Alejandro Ribeiro

Papers citing "Scalable Perception-Action-Communication Loops with Convolutional and Graph Neural Networks"

24 / 24 papers shown

Title
Imitation Learning: A Survey of Learning Methods, Environments and Metrics Nathan Gavenski Odinaldo Rodrigues Michael Luck 50 167 0 30 Apr 2024
Synthesizing Decentralized Controllers with Graph Neural Networks and Imitation Learning Fernando Gama Qingbiao Li Ekaterina V. Tolstaya Amanda Prorok Alejandro Ribeiro AI4CE 56 28 0 29 Dec 2020
Discriminability of Single-Layer Graph Neural Networks Samuel Pfrommer Fernando Gama Alejandro Ribeiro 42 10 0 17 Oct 2020
Graph Neural Networks: Architectures, Stability and Transferability Luana Ruiz Fernando Gama Alejandro Ribeiro GNN 79 123 0 04 Aug 2020
Feedback Enhanced Motion Planning for Autonomous Vehicles Ke Sun Brent Schlotfeldt Stephen M. Chaves Paul D. Martin Gulshan Mandhyan Vijay Kumar 9 10 0 11 Jul 2020
Graphs, Convolutions, and Neural Networks: From Graph Filters to Graph Neural Networks Fernando Gama Elvin Isufi G. Leus Alejandro Ribeiro GNN 68 150 0 08 Mar 2020
Gated Graph Recurrent Neural Networks Luana Ruiz Fernando Gama Alejandro Ribeiro GNN 59 141 0 03 Feb 2020
Vision-based Multi-MAV Localization with Anonymous Relative Measurements Using Coupled Probabilistic Data Association Filter Ty Nguyen K. Mohta Camillo J Taylor Vijay Kumar 30 36 0 18 Sep 2019
Delving into Robust Object Detection from Unmanned Aerial Vehicles: A Deep Nuisance Disentanglement Approach Zhenyu Wu Karthik Suresh Priya Narayanan Hongyu Xu H. Kwon Zhangyang Wang AAML 41 77 0 11 Aug 2019
Learning Vision-based Flight in Drone Swarms by Imitation Fabian Schilling Julien Lecoeur Fabrizio Schiano Dario Floreano SSL 38 67 0 08 Aug 2019
Stability Properties of Graph Neural Networks Fernando Gama Joan Bruna Alejandro Ribeiro 41 229 0 11 May 2019
Learning Decentralized Controllers for Robot Swarms with Graph Neural Networks Ekaterina V. Tolstaya Fernando Gama James Paulos George Pappas Vijay Kumar Alejandro Ribeiro GNN 61 173 0 25 Mar 2019
Decentralization of Multiagent Policies by Learning What to Communicate James Paulos Steven W. Chen Daigo Shishika Vijay Kumar 29 30 0 24 Jan 2019
An Algorithmic Perspective on Imitation Learning Takayuki Osa Joni Pajarinen Gerhard Neumann J. Andrew Bagnell Pieter Abbeel Jan Peters 67 833 0 16 Nov 2018
Convolutional Neural Network Architectures for Signals Supported on Graphs Fernando Gama A. Marques G. Leus Alejandro Ribeiro 164 286 0 01 May 2018
YOLOv3: An Incremental Improvement Joseph Redmon Ali Farhadi ObjD 28 21,306 0 08 Apr 2018
Toward Low-Flying Autonomous MAV Trail Navigation using Deep Neural Networks for Environmental Awareness Nikolai Smolyanskiy A. Kamenev Jeffrey Smith Stan Birchfield 66 222 0 07 May 2017
CAD2RL: Real Single-Image Flight without a Single Real Image Fereshteh Sadeghi Sergey Levine SSL 271 814 0 13 Nov 2016
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 262 149,474 0 22 Dec 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 525 99,991 0 04 Sep 2014
Outdoor flocking and formation flight with autonomous aerial robots Gábor Vásárhelyi Csaba Virágh G. Somorjai Norbert Tarcai Tamás Szörényi Tamás Nepusz Tamás Vicsek 40 260 0 14 Feb 2014
Learning Monocular Reactive UAV Control in Cluttered Natural Environments Stéphane Ross Narek Melik-Barkhudarov Kumar Shaurya Shankar Andreas Wendel Debadeepta Dey J. Andrew Bagnell M. Hebert 55 437 0 07 Nov 2012
The Emerging Field of Signal Processing on Graphs: Extending High-Dimensional Data Analysis to Networks and Other Irregular Domains D. Shuman S. K. Narang P. Frossard Antonio Ortega P. Vandergheynst 58 3,962 0 31 Oct 2012
A Reduction of Imitation Learning and Structured Prediction to No-Regret Online Learning Stéphane Ross Geoffrey J. Gordon J. Andrew Bagnell OffRL 79 3,196 0 02 Nov 2010