Reinforcement learning approach for resource allocation in humanitarian logistics

作者：

Highlights：

• A Q-learning algorithm (QL) is proposed to solve the resource allocation problem.

• A dynamic programming method and a heuristic algorithm are provided to prove the effectiveness of the QL.

• Suggestions are given on how to apply the QL algorithm in practical situations.

摘要

•A Q-learning algorithm (QL) is proposed to solve the resource allocation problem.•A dynamic programming method and a heuristic algorithm are provided to prove the effectiveness of the QL.•Suggestions are given on how to apply the QL algorithm in practical situations.

论文关键词：Humanitarian logistics,Resource allocation,Reinforcement learning,Q-learning

论文评审过程：Received 25 October 2019, Revised 25 January 2021, Accepted 25 January 2021, Available online 9 February 2021, Version of Record 25 February 2021.

论文官网地址：https://doi.org/10.1016/j.eswa.2021.114663