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QGNN: Value Function Factorisation with Graph Neural Networks

QGNN: Value Function Factorisation with Graph Neural Networks

25 May 2022
Ryan Kortvelesy
Amanda Prorok
ArXivPDFHTML

Papers citing "QGNN: Value Function Factorisation with Graph Neural Networks"

4 / 4 papers shown
Title
Deep Meta Coordination Graphs for Multi-agent Reinforcement Learning
Deep Meta Coordination Graphs for Multi-agent Reinforcement Learning
Nikunj Gupta
James Zachary Hare
R. Kannan
Viktor Prasanna
GNN
71
0
0
06 Feb 2025
Physics-Informed Multi-Agent Reinforcement Learning for Distributed Multi-Robot Problems
Physics-Informed Multi-Agent Reinforcement Learning for Distributed Multi-Robot Problems
Eduardo Sebastián
T. Duong
Nikolay A. Atanasov
Eduardo Montijano
C. Sagüés
20
2
0
30 Dec 2023
Multi-Flow Transmission in Wireless Interference Networks: A Convergent
  Graph Learning Approach
Multi-Flow Transmission in Wireless Interference Networks: A Convergent Graph Learning Approach
Raz Paul
Kobi Cohen
Gil Kedar
20
4
0
27 Mar 2023
Heterogeneous Multi-Robot Reinforcement Learning
Heterogeneous Multi-Robot Reinforcement Learning
Matteo Bettini
Ajay Shankar
Amanda Prorok
22
40
0
17 Jan 2023
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