Combining deep reinforcement learning and multi-stage stochastic programming to address the supply chain inventory management problem

Research article (International Journal of Production Economics, 2023) · cited 40× · AI/ML
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Combining deep reinforcement learning and multi-stage stochastic programming to address the supply chain inventory management problem

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Combining deep reinforcement learning and multi-stage stochastic programming to address the supply chain inventory management problem is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Combining deep reinforcement learning and multi-stage stochastic programming to address the supply chain inventory management problem. Retrieved May 24, 2026, from https://4ort.xyz/entity/combining-deep-reinforcement-learning-and-multi-stage-stochastic-programming-to-address-the-supply-chain-inventory-manag
MLA “Combining deep reinforcement learning and multi-stage stochastic programming to address the supply chain inventory management problem.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/combining-deep-reinforcement-learning-and-multi-stage-stochastic-programming-to-address-the-supply-chain-inventory-manag.
BibTeX @misc{4ortxyz_combining-deep-reinforcement-learning-and-multi-stage-stochastic-programming-to-address-the-supply-chain-inventory-manag_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Combining deep reinforcement learning and multi-stage stochastic programming to address the supply chain inventory management problem}}, year = {2026}, url = {https://4ort.xyz/entity/combining-deep-reinforcement-learning-and-multi-stage-stochastic-programming-to-address-the-supply-chain-inventory-manag}, note = {Accessed: 2026-05-24}}
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