Multiagent reinforcement learning with graphical mutual information maximization

Multiagent reinforcement learning with graphical mutual information maximization

Communication learning is an important research direction in the multiagent reinforcement learning (MARL) domain. Graph neural networks (GNNs) can aggregate the information of neighbor nodes for representation learning. In recent years, several MARL methods leverage GNN to model information interact...

Full description

Bibliographic Details
Main Authors: Ding, Shifei, Du, Wei, Ding, Ling, Zhang, Jian, Guo, Lili, An, Bo
Other Authors: School of Computer Science and Engineering
Format: Journal Article
Language:English
Published: 2023
Subjects:
Engineering::Computer science and engineering
Communication Learning
Graph Neural Net-work
Online Access:https://hdl.handle.net/10356/170576

Internet

https://hdl.handle.net/10356/170576

Similar Items