References

• 2012Practical Bayesian Optimization of Machine Learning Algorithms6,690 cited
• 2021Deep reinforcement learning for inventory control: A roadmap238 cited
• 2017Reinforcement learning approaches for specifying ordering policies of perishable inventory systems140 cited
• 2020Use of Proximal Policy Optimization for the Joint Replenishment Problem111 cited
• 2022An optimization approach for multi-echelon supply chain viability with disruption risk minimization79 cited
• 2022Deep reinforcement learning approach for solving joint pricing and inventory problem with reference price effects53 cited
• 2021Scalable multi-product inventory control with lead time constraints using reinforcement learning38 cited
• 2019Deep Reinforcement Learning Approach for Capacitated Supply Chain optimization under Demand Uncertainty37 cited
• 2017A Deep Q-Network for the Beer Game: A Deep Reinforcement Learning algorithm to Solve Inventory Optimization Problems34 cited

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