Resum
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 original | Anglès |
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Estat de la publicació | Publicada - 25 d’oct. 2023 |
Esdeveniment | 25è Congrés Català d'Intel·ligència Artificial (CCIA 2023)25 - Sant Fruitós de Bages, Spain Durada: 25 d’oct. 2023 → 27 d’oct. 2023 |
Conferència
Conferència | 25è Congrés Català d'Intel·ligència Artificial (CCIA 2023)25 |
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País/Territori | Spain |
Ciutat | Sant Fruitós de Bages |
Període | 25/10/23 → 27/10/23 |