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Adaptive inventory replenishment using structured reinforcement learning by exploiting a policy structure
16 references·1 citing·55 second hop
Adaptive inventory replenishment using structured reinforcement learning by exploiting a policy structure (2023)Adaptive inventory replenishment using st…Data-Driven Dynamic Pricing and Ordering with Perishable Inventory in a Changing Environment (2022)Data-Driven Dynamic Pricing a…Can Deep Reinforcement Learning Improve Inventory Management? Performance on Lost Sales, Dual-Sourcing, and Multi-Echelon Problems (2022)Can Deep Reinforcement Learni…Smart “Predict, then Optimize” (2021)Smart “Predict, then Optimize”Reward shaping to improve the performance of deep reinforcement learning in perishable inventory management (2021)Reward shaping to improve the…Artificial intelligence-based inventory management: a Monte Carlo tree search approach (2021)Artificial intelligence-based…A Deep Q-Network for the Beer Game: Deep Reinforcement Learning for Inventory Optimization (2021)A Deep Q-Network for the Beer…An optimized model using LSTM network for demand forecasting (2020)An optimized model using LSTM…A Nonparametric Asymptotic Analysis of Inventory Planning with Censored Demand (2009)A Nonparametric Asymptotic An…Case-based reinforcement learning for dynamic inventory control in a multi-agent supply-chain system (2008)Case-based reinforcement lear…A reinforcement learning model for supply chain ordering management: An application to the beer game (2008)A reinforcement learning mode…Matching Supply with Demand: An Introduction to Operations Management (2005)Matching Supply with Demand: …Inventory management in supply chains: a reinforcement learning approach (2002)Inventory management in suppl…Simulation-based optimization of Markov reward processes (2001)Simulation-based optimization…Inventory Control in a Fluctuating Demand Environment (1993)Inventory Control in a Fluctu…Optimal Continuous Review Policies for Two Product Inventory Systems with Joint Setup Costs (1969)Optimal Continuous Review Pol…On a Basic Class of Multi-Item Inventory Problems (1964)On a Basic Class of Multi-Ite…On the use of machine learning in supply chain management: a systematic review (2023)On the use of machine learnin…The Theory of Inventory Management (1958)Introduction to Operations Research. 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References

  • 2021Smart “Predict, then Optimize”829 cited
  • 2020An optimized model using LSTM network for demand forecasting538 cited
  • 1993Inventory Control in a Fluctuating Demand Environment373 cited
  • 2005Matching Supply with Demand: An Introduction to Operations Management360 cited
  • 2001Simulation-based optimization of Markov reward processes306 cited
  • 2021A Deep Q-Network for the Beer Game: Deep Reinforcement Learning for Inventory Optimization242 cited
  • 2002Inventory management in supply chains: a reinforcement learning approach220 cited
  • 2009A Nonparametric Asymptotic Analysis of Inventory Planning with Censored Demand220 cited
  • 2022Can Deep Reinforcement Learning Improve Inventory Management? Performance on Lost Sales, Dual-Sourcing, and Multi-Echelon Problems206 cited
  • 1964On a Basic Class of Multi-Item Inventory Problems178 cited
  • 2008A reinforcement learning model for supply chain ordering management: An application to the beer game148 cited
  • 2008Case-based reinforcement learning for dynamic inventory control in a multi-agent supply-chain system126 cited
  • 2021Reward shaping to improve the performance of deep reinforcement learning in perishable inventory management116 cited
  • 2022Data-Driven Dynamic Pricing and Ordering with Perishable Inventory in a Changing Environment

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103 cited
  • 1969Optimal Continuous Review Policies for Two Product Inventory Systems with Joint Setup Costs93 cited
  • 2021Artificial intelligence-based inventory management: a Monte Carlo tree search approach88 cited
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    • 2023On the use of machine learning in supply chain management: a systematic review37 cited