Can deep reinforcement learning improve inventory management? performance on lost sales, dual-sourcing, and multi-echelon problems
J Gijsbrechts, RN Boute… - Manufacturing & …, 2022 - pubsonline.informs.org
Problem definition: Is deep reinforcement learning (DRL) effective at solving inventory
problems? Academic/practical relevance: Given that DRL has successfully been applied in …
problems? Academic/practical relevance: Given that DRL has successfully been applied in …
[PDF][PDF] Can Deep Reinforcement Learning Improve Inventory Management? Performance on Lost Sales, Dual Sourcing and Multi-Echelon Problems
J Gijsbrechts, RN Boute, JA Van Mieghem, DJ Zhang - ciencia.ucp.pt
December 17, 2018; Revised Jul. 29, 2019; Oct. 6, 2020; Jul. 2, 2021 Problem definition: Is
Deep Reinforcement Learning (DRL) effective at solving inventory problems …
Deep Reinforcement Learning (DRL) effective at solving inventory problems …
Can Deep Reinforcement Learning Improve Inventory Management? Performance on Lost Sales, Dual-Sourcing, and Multi-Echelon Problems
J Gijsbrechts, RN Boute… - … & Service Operations …, 2022 - econpapers.repec.org
Problem definition: Is deep reinforcement learning (DRL) effective at solving inventory
problems? Academic/practical relevance: Given that DRL has successfully been applied in …
problems? Academic/practical relevance: Given that DRL has successfully been applied in …
Can Deep Reinforcement Learning Improve Inventory Management? Performance on Lost Sales, Dual-Sourcing, and Multi-Echelon Problems
J Gijsbrechts, RN Boute, JA Van Mieghem… - … & Service Operations …, 2022 - ideas.repec.org
Problem definition: Is deep reinforcement learning (DRL) effective at solving inventory
problems? Academic/practical relevance: Given that DRL has successfully been applied in …
problems? Academic/practical relevance: Given that DRL has successfully been applied in …
Can Deep Reinforcement Learning Improve Inventory Management? Performance on Lost Sales, Dual-Sourcing, and Multi-Echelon Problems
J Gijsbrechts, RN Boute, JA Van Mieghem… - Manufacturing & Service …, 2022 - dl.acm.org
Problem definition: Is deep reinforcement learning (DRL) effective at solving inventory
problems? Academic/practical relevance: Given that DRL has successfully been applied in …
problems? Academic/practical relevance: Given that DRL has successfully been applied in …
[PDF][PDF] Can Deep Reinforcement Learning Improve Inventory Management? Performance on Lost Sales, Dual Sourcing and Multi-Echelon Problems
J Gijsbrechts, RN Boute, JA Van Mieghem, DJ Zhang - lirias.kuleuven.be
December 17, 2018; Revised Jul. 29, 2019; Oct. 6, 2020; Jul. 2, 2021 Problem definition: Is
Deep Reinforcement Learning (DRL) effective at solving inventory problems …
Deep Reinforcement Learning (DRL) effective at solving inventory problems …
Can Deep Reinforcement Learning Improve Inventory Management? Performance on Lost Sales, Dual-Sourcing, and Multi-Echelon Problems
J Gijsbrechts, RN Boute… - Manufacturing and …, 2022 - scholars.northwestern.edu
Problem definition: Is deep reinforcement learning (DRL) effective at solving inventory
problems? Academic/practical relevance: Given that DRL has successfully been applied in …
problems? Academic/practical relevance: Given that DRL has successfully been applied in …
Can deep reinforcement learning improve inventory management? Performance on lost sales, dual-sourcing, and multi-echelon problems
J Gijsbrechts, RN Boute, JA Mieghem… - … and Service Operations …, 2022 - repositorio.ucp.pt
Problem definition: Is deep reinforcement learning (DRL) effective at solving inventory
problems? Academic/practical relevance: Given that DRL has successfully been applied in …
problems? Academic/practical relevance: Given that DRL has successfully been applied in …
Can Deep Reinforcement Learning Improve Inventory Management?: Performance on Lost Sales, Dual-Sourcing, and Multi-Echelon Problems
J Gijsbrechts, RN Boute, JA Van Mieghem… - … & Service Operations …, 2022 - merit.url.edu
Problem definition: Is deep reinforcement learning (DRL) effective at solving inventory
problems? Academic/practical relevance: Given that DRL has successfully been applied in …
problems? Academic/practical relevance: Given that DRL has successfully been applied in …
Can Deep Reinforcement Learning Improve Inventory Management? Performance on Dual Sourcing, Lost Sales and Multi-Echelon Problems
J Gijsbrechts, RN Boute, JA Van Mieghem… - … & Service Operations …, 2021 - papers.ssrn.com
Results: We demonstrate that the A3C algorithm can match performance of state-of-the-art
heuristics and other approximate dynamic programming methods. While the initial tuning …
heuristics and other approximate dynamic programming methods. While the initial tuning …