Deep Reinforcement Learning for inventory optimization with non-stationary uncertain demand
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DOI: 10.1016/j.ejor.2023.10.007
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- Dehaybe, Henri & Catanzaro, Daniele & Chevalier, Philippe, 2023. "Deep Reinforcement Learning for Inventory Optimization with Non-Stationary Uncertain Demand," LIDAM Reprints CORE 3270, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
References listed on IDEAS
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Keywords
Inventory; Lot sizing; Forecast evolution; Deep Reinforcement Learning; Non-stationary demand;All these keywords.
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