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...

Olles dieđut

Bibliográfalaš dieđut
Váldodahkkit: Ding, Shifei, Du, Wei, Ding, Ling, Zhang, Jian, Guo, Lili, An, Bo
Eará dahkkit: School of Computer Science and Engineering
Materiálatiipa: Journal Article
Giella:English
Almmustuhtton: 2023
Fáttát:
Engineering::Computer science and engineering
Communication Learning
Graph Neural Net-work
Liŋkkat:https://hdl.handle.net/10356/170576

Interneahtta

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

Geahča maid