Resource allocation in home care services using reinforcement learning

Jordi Nin Guerrero, Bernat Salbanya Rovira, Irene Unceta Mendieta

Producción científica: Contribución a una conferenciaContribución

Resumen

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.
Idioma originalInglés
EstadoPublicada - 25 oct 2023
Evento25è Congrés Català d'Intel·ligència Artificial (CCIA 2023)25 - Sant Fruitós de Bages, Espana
Duración: 25 oct 202327 oct 2023

Conferencia

Conferencia25è Congrés Català d'Intel·ligència Artificial (CCIA 2023)25
País/TerritorioEspana
CiudadSant Fruitós de Bages
Período25/10/2327/10/23

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