Reinforcement Learning for Intensity Control: An Application to Choice-Based Network Revenue Management

Intensity control is a type of continuous-time dynamic optimization problems with many important applications in Operations Research including queueing and revenue management. In this study, we adapt the reinforcement learning framework to intensity control using choice-based network revenue managem...

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Veröffentlicht in:	arXiv.org 2024-06
Hauptverfasser:	Meng, Huiling, Chen, Ningyuan, Gao, Xuefeng
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Discretization Machine learning Queueing Revenue Revenue management
Online-Zugang:	Volltext
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