Counterfactual value decomposition for cooperative multi-agent reinforcement learning

Value decomposition has become a central focus in Multi-Agent Reinforcement Learning (MARL) in recent years. The key challenge lies in the construction and updating of the factored value function (FVF). Traditional methods rely on FVFs with restricted representational capacity, rendering them inadeq...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	Neural networks Jg. 190; S. 107692
Hauptverfasser:	Liu, Kai, Zhang, Tianxian, Xu, Xiangliang, Zhao, Yuyang
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States Elsevier Ltd 01.10.2025
Schlagworte:	Algorithms Attention mechanism Cooperative Behavior Counterfactual network Humans Multi-agent reinforcement learning Neural Networks, Computer Reinforcement, Psychology Value decomposition Multi-agent reinforcement learning Attention mechanism Counterfactual network Value decomposition
ISSN:	0893-6080, 1879-2782, 1879-2782
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!