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Multi-Agent Deep Reinforcement Learning for Integrated Demand Forecasting and Inventory Optimization in Sensor-Enabled Retail Supply Chains

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References

2019DeepAR: Probabilistic forecasting with autoregressive recurrent networks2,726 cited
2019The M4 Competition: 100,000 time series and 61 forecasting methods990 cited
2006Exponential smoothing: The state of the art—Part II953 cited
2015OR/MS models for supply chain disruptions: a review862 cited
2019From Predictive to Prescriptive Analytics781 cited
2002Foundations of Stochastic Inventory Theory716 cited
2012Integration of Online and Offline Channels in Retail: The Impact of Sharing Reliable Inventory Availability Information713 cited
2010Managing Perishable and Aging Inventories: Review and Future Research Directions364 cited
2022A review on reinforcement learning algorithms and applications in supply chain management359 cited
2019Retail forecasting: Research and practice357 cited
2015Demand forecasting with high dimensional data: The case of SKU retail sales forecasting with intra- and inter-category promotional information174 cited
2019Applying deep learning to the newsvendor problem163 cited
2014Fashion retailing – past, present and future136 cited
2014On the identification of sales forecasting models in the presence of promotions102 cited
2022

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Multi-Agent Deep Reinforcement Learning for Multi-Echelon Inventory Management

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