Learning competitive pricing strategies by multi-agent reinforcement learning
type: Item
instance of: scholarly article
title: Learning competitive pricing strategies by multi-agent reinforcement learning
zbMATH Open document ID: 1179.91194
DOI: 10.1016/S0165-1889(02)00122-7
author: Erich Kutschinski
author: Thomas Uthmann
author: Daniel Polani
publication date: 2008-10-24T00:00:00Z
Mathematics Subject Classification ID: 91B74
Mathematics Subject Classification ID: 68T05
Mathematics Subject Classification ID: 68T42
Mathematics Subject Classification ID: 91B24
zbMATH DE Number: 5356661
zbMATH Keywords: distributed simulation
zbMATH Keywords: agent-based computational economics
zbMATH Keywords: dynamic pricing
zbMATH Keywords: multi-agent reinforcement learning
zbMATH Keywords: Q-learning
MaRDI profile type: Publication
cites work: \({\mathcal Q}\)-learning
published in: Journal of Economic Dynamics and Control
description: scientific article; zbMATH DE number 5356661