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A Framework for Real-World Multi-Robot Systems Running Decentralized
  GNN-Based Policies

A Framework for Real-World Multi-Robot Systems Running Decentralized GNN-Based Policies

2 November 2021
J. Blumenkamp
Steven D. Morad
Jennifer Gielis
Qingbiao Li
Amanda Prorok
ArXivPDFHTML

Papers citing "A Framework for Real-World Multi-Robot Systems Running Decentralized GNN-Based Policies"

7 / 7 papers shown
Title
Graph Neural Networks Gone Hogwild
Graph Neural Networks Gone Hogwild
Olga Solodova
Nick Richardson
Deniz Oktay
Ryan P. Adams
AI4CE
GNN
19
1
0
29 Jun 2024
GCBF+: A Neural Graph Control Barrier Function Framework for Distributed Safe Multi-Agent Control
GCBF+: A Neural Graph Control Barrier Function Framework for Distributed Safe Multi-Agent Control
Songyuan Zhang
Oswin So
Kunal Garg
Chuchu Fan
AI4CE
27
21
0
25 Jan 2024
LQR-CBF-RRT*: Safe and Optimal Motion Planning
LQR-CBF-RRT*: Safe and Optimal Motion Planning
Guangtao Yang
Mingyu Cai
A. Ahmad
Amanda Prorok
Roberto Tron
C. Belta
12
4
0
03 Apr 2023
Decentralized Inference with Graph Neural Networks in Wireless
  Communication Systems
Decentralized Inference with Graph Neural Networks in Wireless Communication Systems
Mengyuan Lee
Guanding Yu
H. Dai
GNN
33
39
0
19 Apr 2021
Latency Analysis of ROS2 Multi-Node Systems
Latency Analysis of ROS2 Multi-Node Systems
Tobias Kronauer
Joshwa Pohlmann
Maximilian Matthé
Till Smejkal
G. Fettweis
62
39
0
06 Jan 2021
SMARTS: Scalable Multi-Agent Reinforcement Learning Training School for
  Autonomous Driving
SMARTS: Scalable Multi-Agent Reinforcement Learning Training School for Autonomous Driving
Ming Zhou
Jun-Jie Luo
Julian Villela
Yaodong Yang
David Rusu
...
H. Ammar
Hongbo Zhang
Wulong Liu
Jianye Hao
Jun Wang
125
192
0
19 Oct 2020
A Review of Cooperative Multi-Agent Deep Reinforcement Learning
A Review of Cooperative Multi-Agent Deep Reinforcement Learning
Afshin Oroojlooyjadid
Davood Hajinezhad
17
404
0
11 Aug 2019
1