Cargando…
Sortation Control Using Multi-Agent Deep Reinforcement Learning in N-Grid Sortation System
Intralogistics is a technology that optimizes, integrates, automates, and manages the logistics flow of goods within a logistics transportation and sortation center. As the demand for parcel transportation increases, many sortation systems have been developed. In general, the goal of sortation syste...
Autores principales: | Kim, Ju-Bong, Choi, Ho-Bin, Hwang, Gyu-Young, Kim, Kwihoon, Hong, Yong-Geun, Han, Youn-Hee |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7349561/ https://www.ncbi.nlm.nih.gov/pubmed/32560217 http://dx.doi.org/10.3390/s20123401 |
Ejemplares similares
-
Multi-Agent Deep Reinforcement Learning for Multi-Robot Applications: A Survey
por: Orr, James, et al.
Publicado: (2023) -
Enhanced optical efficiency and color purity for organic light-emitting diodes by finely optimizing parameters of nanoscale low-refractive index grid
por: Kim, Jae Geun, et al.
Publicado: (2020) -
Sample-efficient multi-agent reinforcement learning with masked reconstruction
por: Kim, Jung In, et al.
Publicado: (2023) -
Federated Reinforcement Learning for Training Control Policies on Multiple IoT Devices
por: Lim, Hyun-Kyo, et al.
Publicado: (2020) -
Deep Reinforcement Learning Multi-Agent System for Resource Allocation in Industrial Internet of Things
por: Rosenberger, Julia, et al.
Publicado: (2022)