Research on cooperation and learning in multi-agent system

Research on cooperation and learning in multi-agent system

Cooperation and learning in multi-agent systems (MAS) is of special interest in DAI. This paper presents a cooperation model called MACM that provides a flexible coordination mechanism to support cooperation and learning in MAS. The learning agent adopts model-free distributed Q-learning. By using p...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: Shuli Zheng, Xiangfeng Luo, Zhenghu Luo, Jingan Yang
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Artificial intelligence
Bayesian methods
Centralized control
Computer aided instruction
Control systems
Councils
Game theory
Intelligent agent
Learning
Multiagent systems
Online-Zugang:Volltext bestellen
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:Cooperation and learning in multi-agent systems (MAS) is of special interest in DAI. This paper presents a cooperation model called MACM that provides a flexible coordination mechanism to support cooperation and learning in MAS. The learning agent adopts model-free distributed Q-learning. By using projection method, the distributed Q-learning algorithm needs less storage space for the Q-table than the classical Q-learning.
DOI:10.1109/ICOSP.2002.1179995