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Multi-Agent Reinforcement Learning for Dynamic Pricing in Supply Chains: Benchmarking Strategic Agent Behaviours under Realistically Simulated Market Conditions

Fuente: arXiv

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Détails bibliographiques
Auteurs principaux:	Hazenberg, Thomas, Ma, Yao, Ziabari, Seyed Sahand Mohammadi, van Rijswijk, Marijn
Format:	Preprint
Publié:	2025
Sujets:	Machine Learning Econometrics
Accès en ligne:	Acceder al recurso
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