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Graph Policy Gradients for Large Scale Unlabeled Motion Planning with
  Constraints

Graph Policy Gradients for Large Scale Unlabeled Motion Planning with Constraints

24 September 2019
Arbaaz Khan
Vijay Kumar
Alejandro Ribeiro
ArXiv (abs)PDFHTML

Papers citing "Graph Policy Gradients for Large Scale Unlabeled Motion Planning with Constraints"

5 / 5 papers shown
Title
Graph learning in robotics: a survey
Graph learning in robotics: a survey
Francesca Pistilli
Giuseppe Averta
AI4CEGNN
67
8
0
06 Oct 2023
Multi-Robot Coordination and Planning in Uncertain and Adversarial
  Environments
Multi-Robot Coordination and Planning in Uncertain and Adversarial Environments
Lifeng Zhou
Pratap Tokekar
109
44
0
02 May 2021
ModGNN: Expert Policy Approximation in Multi-Agent Systems with a
  Modular Graph Neural Network Architecture
ModGNN: Expert Policy Approximation in Multi-Agent Systems with a Modular Graph Neural Network Architecture
Ryan Kortvelesy
Amanda Prorok
98
24
0
24 Mar 2021
Graph Neural Networks for Motion Planning
Graph Neural Networks for Motion Planning
Arbaaz Khan
Alejandro Ribeiro
Vijay Kumar
Anthony G. Francis
77
32
0
11 Jun 2020
GLAS: Global-to-Local Safe Autonomy Synthesis for Multi-Robot Motion
  Planning with End-to-End Learning
GLAS: Global-to-Local Safe Autonomy Synthesis for Multi-Robot Motion Planning with End-to-End Learning
Benjamin Rivière
Wolfgang Hoenig
Yisong Yue
Soon-Jo Chung
82
93
0
26 Feb 2020
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