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...

Full description

Bibliographic Details

Published in:	Neural networks Vol. 190; p. 107692
Main Authors:	Liu, Kai, Zhang, Tianxian, Xu, Xiangliang, Zhao, Yuyang
Format:	Journal Article
Language:	English
Published:	United States Elsevier Ltd 01.10.2025
Subjects:	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 Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!