Iterative Multi-Agent Reinforcement Learning: A Novel Approach Toward Real-World Multi-Echelon Inventory Optimization

Fuente: arXiv

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Bibliographic Details
Main Authors:	Ziegner, Georg, Choi, Michael, Le, Hung Mac Chan, Sakhuja, Sahil, Sarmadi, Arash
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	Acceder al recurso
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Internet

https://arxiv.org/abs/2503.18201