Article

Multi-Agent Reinforcement Learning with Two Layer Control Plane for Traffic Engineering

2025-08-12

Abstract excerpt

The article presents a new method for multi-agent traffic flow balancing. It is based on the MAROH multi-agent optimization method. However, unlike MAROH, the agent's control plane is built on principles of human decision-making and consists of two layers. The first layer ensures autonomous decision-making by the agent based on accumulated experience—representatives of states the agent has encountered and kno...

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Identifiers and source

Literature Corpus work: e8a68e56-776c-57c7-9641-ee95c8768991
DOI: 10.20944/preprints202508.0818.v1

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