The Use of Continuous Action Representations to Scale Deep Reinforcement Learning for Inventory Control

Deep reinforcement learning (DRL) can solve complex inventory problems with a multi-dimensional state space. However, most approaches use a discrete action representation and do not scale well to problems with multi-dimensional action spaces. We use DRL with a continuous action representation for in...

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Veröffentlicht in:	Ima Journal Of Management Mathematics 2024-11
Hauptverfasser:	Vanvuchelen, Nathalie, De Moor, Bram J, Boute, Robert
Format:	Artikel
Sprache:	eng
Online-Zugang:	Volltext
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