Leveraging graph neural networks and multi-agent reinforcement learning for inventory control in supply chains

Research article (Computers & Chemical Engineering, 2025) · cited 19× · AI/ML
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Leveraging graph neural networks and multi-agent reinforcement learning for inventory control in supply chains

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Leveraging graph neural networks and multi-agent reinforcement learning for inventory control in supply chains is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Leveraging graph neural networks and multi-agent reinforcement learning for inventory control in supply chains. Retrieved May 24, 2026, from https://4ort.xyz/entity/leveraging-graph-neural-networks-and-multi-agent-reinforcement-learning-for-inventory-control-in-supply-chains
MLA “Leveraging graph neural networks and multi-agent reinforcement learning for inventory control in supply chains.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/leveraging-graph-neural-networks-and-multi-agent-reinforcement-learning-for-inventory-control-in-supply-chains.
BibTeX @misc{4ortxyz_leveraging-graph-neural-networks-and-multi-agent-reinforcement-learning-for-inventory-control-in-supply-chains_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Leveraging graph neural networks and multi-agent reinforcement learning for inventory control in supply chains}}, year = {2026}, url = {https://4ort.xyz/entity/leveraging-graph-neural-networks-and-multi-agent-reinforcement-learning-for-inventory-control-in-supply-chains}, note = {Accessed: 2026-05-24}}
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