Cargando…
Reinforcement learning based framework for COVID-19 resource allocation
In this paper, a reinforcement learning based framework is developed for COVID-19 resource allocation. We first construct an agent-based epidemic environment to model the transmission dynamics in multiple states. Then, a multi-agent reinforcement-learning algorithm is proposed based on the time-vary...
Autores principales: | Zong, Kai, Luo, Cuicui |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Published by Elsevier Ltd.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8800507/ https://www.ncbi.nlm.nih.gov/pubmed/35125625 http://dx.doi.org/10.1016/j.cie.2022.107960 |
Ejemplares similares
-
Market Model for Resource Allocation in Emerging Sensor Networks with Reinforcement Learning
por: Zhang, Yue, et al.
Publicado: (2016) -
Deep Reinforcement Learning Based Resource Allocation Strategy in Cloud-Edge Computing System
por: Xu, Jianqiao, et al.
Publicado: (2022) -
Deep Reinforcement Learning-Based Resource Allocation for Satellite Internet of Things with Diverse QoS Guarantee
por: Tang, Siqi, et al.
Publicado: (2022) -
BeiDou Short-Message Satellite Resource Allocation Algorithm Based on Deep Reinforcement Learning
por: Xia, Kaiwen, et al.
Publicado: (2021) -
Building an Ethics Framework for COVID-19 Resource Allocation: The How and the Why
por: Dawson, Angus
Publicado: (2020)