Applications of Multi-Agent Deep Reinforcement Learning: Models and Algorithms

Applications of Multi-Agent Deep Reinforcement Learning: Models and Algorithms

Recent advancements in deep reinforcement learning (DRL) have led to its application in multi-agent scenarios to solve complex real-world problems, such as network resource allocation and sharing, network routing, and traffic signal controls. Multi-agent DRL (MADRL) enables multiple agents to intera...

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Detalles Bibliográficos
Autores principales: Abdikarim Mohamed Ibrahim, Kok-Lim Alvin Yau, Yung-Wey Chong, Celimuge Wu
Formato: article
Lenguaje:EN
Publicado: MDPI AG 2021
Materias:
multi-agent deep reinforcement learning
reinforcement learning
multi-agent reinforcement learning
deep Q-network
applied reinforcement learning
Technology
T
Engineering (General). Civil engineering (General)
TA1-2040
Biology (General)
QH301-705.5
Physics
QC1-999
Chemistry
QD1-999
Acceso en línea:https://doaj.org/article/f3c7b1961f864e5a94614c615dbe262a
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https://doaj.org/article/f3c7b1961f864e5a94614c615dbe262a

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