Deep reinforcement learning for inventory control: a roadmap

DOI10.1016/j.ejor.2021.07.016zbMath1490.90012OpenAlexW3184770056MaRDI QIDQ2076812

Nathalie Vanvuchelen, Joren Gijsbrechts, Robert N. Boute, Willem van Jaarsveld

Publication date: 22 February 2022

Published in: European Journal of Operational Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ejor.2021.07.016

zbMATH Keywords

neural networksreinforcement learningmachine learninginventory management

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Inventory, storage, reservoirs (90B05) Research exposition (monographs, survey articles) pertaining to operations research and mathematical programming (90-02)

Related Items (5)

Cluster-based lateral transshipments for the Zambian health supply chain ⋮ Modelling the influence of returns for an omni-channel retailer ⋮ Navigational guidance -- a deep learning approach ⋮ Can accessing much data reshape the theory? Inventory theory under the challenge of data-driven systems ⋮ Integrated condition-based maintenance and multi-item lot-sizing with stochastic demand

Uses Software

• Spearmint
• ImageNet
• Adam
• AlexNet

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• AlexNet
• A new partial pooling structure for spare parts networks
• Multilayer feedforward networks are universal approximators
• Simple statistical gradient-following algorithms for connectionist reinforcement learning
• Practical issues in temporal difference learning
• Asymptotic Optimality of Constant-Order Policies for Lost Sales Inventory Models with Large Lead Times
• A Robust Optimization Approach to Inventory Theory
• Old and New Methods for Lost-Sales Inventory Systems
• An analysis of temporal-difference learning with function approximation
• Simulation-based optimization of Markov reward processes
• Performance Guarantees and Optimal Purification Decisions for Engineered Proteins
• Approximate Dynamic Programming
• Order-Based Cost Optimization in Assemble-to-Order Systems
• The Status of Mathematical Inventory Theory
• The theory of dynamic programming

This page was built for publication: Deep reinforcement learning for inventory control: a roadmap