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Resource Allocation in Home Care Services Using Reinforcement Learning

Research output: Book chapterConference contributionpeer-review

1 Citation (Scopus)

Abstract

This paper proposes an innovative method based on reinforcement learning techniques to optimally allocates home care resources in controlled urban environments. We demonstrate the value of this approach when compared with traditional allocation heuristics by simulating a real-life scenario in the city of Barcelona. Our results show that the proposed tool can help home care services accommodate the increase in demand by optimizing human and time resources through more effective planning. In the long term, this will improve the overall quality of this service and positively affect the well-being of the elderly.

Original languageEnglish
Title of host publicationArtificial Intelligence Research and Development - Proceedings of the 25th International Conference of the Catalan Association for Artificial Intelligence
EditorsIsmael Sanz, Raquel Ros, Jordi Nin
PublisherIOS Press BV
ChapterPart 3
Pages173-182
Number of pages10
Volume375
ISBN (Electronic)978-1-64368-449-9
ISBN (Print)978-1-64368-448-2
DOIs
Publication statusPublished - 19 Oct 2023
Event25th International Conference of the Catalan Association for Artificial Intelligence, CCIA 2023 - Barcelona, Spain
Duration: 25 Oct 202327 Oct 2023

Publication series

NameFrontiers in Artificial Intelligence and Applications
Volume375
ISSN (Print)0922-6389
ISSN (Electronic)1879-8314

Conference

Conference25th International Conference of the Catalan Association for Artificial Intelligence, CCIA 2023
Country/TerritorySpain
CityBarcelona
Period25/10/2327/10/23

Keywords

  • Allocation
  • Healthcare
  • Reinforcement Learning
  • Urban Services

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