Performance of deep reinforcement learning algorithms in two-echelon inventory control systems-Reference-Cited by-同舟云学术

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Performance of deep reinforcement learning algorithms in two-echelon inventory control systems

Published:2024-03 Issue:17 Volume:62 Page:6211-6226
ISSN:0020-7543
Container-title:International Journal of Production Research
language:en
Short-container-title:International Journal of Production Research

Author:

Stranieri Francesco¹²,Stella Fabio¹,Kouki Chaaben³

Affiliation:

1. Department of Informatics, Systems, and Communication (DISCo), University of Milano-Bicocca, Milan, Italy

2. Department of Control and Computer Engineering (DAUIN), Polytechnic of Turin, Turin, Italy

3. Department of Operations Management and Decision Science (OMDS), ESSCA School of Management, Angers, France

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/00207543.2024.2311180

Reference39 articles.

1. Deep Reinforcement Learning and Optimization Approach for Multi-echelon Supply Chain with Uncertain Demands

2. Deep reinforcement learning for inventory control: A roadmap

3. Brockman G. V. Cheung L. Pettersson J. Schneider J. Schulman J. Tang and W. Zaremba. 2016. “Openai Gym.” https://arxiv.org/abs/1606.01540.

4. A reinforcement learning model for supply chain ordering management: An application to the beer game

5. Approximation Algorithms for Perishable Inventory Systems

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