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Multi-Agent Reinforcement Learning for Distributed Workflow Orchestration at the Tactical Edge

Year: 2024

Type: conference-paper

Source: IEEE Military Communications Conference (MILCOM)

DOI: 10.1109/milcom61039.2024.10773787

Authors: Alessandro Amato, Alessandro Morelli, Mattia Fogli, Raffaele Galliera, Niranjan Suri

Institutions: University of West Florida, Florida Institute for Human and Machine Cognition, University of Ferrara

Language: English

Topic: IoT and Edge/Fog Computing

Subfield: Computer Networks and Communications

Field: Computer Science

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: closed

OpenAlex ID: W4405103755

FWCI: 1.328

Cites: 15

Cited by: 3

Related to: 10