Learning to Coordinate via Multiple Graph Neural Networks

04/08/2021
by   Zhiwei Xu, et al.
0

The collaboration between agents has gradually become an important topic in multi-agent systems. The key is how to efficiently solve the credit assignment problems. This paper introduces MGAN for collaborative multi-agent reinforcement learning, a new algorithm that combines graph convolutional networks and value-decomposition methods. MGAN learns the representation of agents from different perspectives through multiple graph networks, and realizes the proper allocation of attention between all agents. We show the amazing ability of the graph network in representation learning by visualizing the output of the graph network, and therefore improve interpretability for the actions of each agent in the multi-agent system.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
10/23/2021

Foresight of Graph Reinforcement Learning Latent Permutations Learnt by Gumbel Sinkhorn Network

Vital importance has necessity to be attached to cooperation in multi-ag...
research
03/24/2021

ModGNN: Expert Policy Approximation in Multi-Agent Systems with a Modular Graph Neural Network Architecture

Recent work in the multi-agent domain has shown the promise of Graph Neu...
research
08/25/2023

Learning Collaborative Information Dissemination with Graph-based Multi-Agent Reinforcement Learning

In modern communication systems, efficient and reliable information diss...
research
12/30/2019

Improved Structural Discovery and Representation Learning of Multi-Agent Data

Central to all machine learning algorithms is data representation. For m...
research
07/02/2021

Online Multi-Agent Forecasting with Interpretable Collaborative Graph Neural Network

This paper considers predicting future statuses of multiple agents in an...
research
11/02/2022

Cluster Assignment in Multi-Agent Systems : Sparsity Bounds and Fault Tolerance

We study cluster assignment in homogeneous diffusive multi-agent network...
research
03/13/2022

Cluster Assignment in Multi-Agent Systems

We study cluster assignment in multi-agent networks. We consider homogen...

Please sign up or login with your details

Forgot password? Click here to reset