Joint learning of agents and graph embeddings in a conveyor belt control problem

Joint learning of agents and graph embeddings in a conveyor belt control problem

We focus on the problem of routing a conveyor belts system based on a multi-agent approach. Most of these airport baggage belt conveyor systems use routing algorithms based on manual simulation of conveyor behavior. This approach does not scale well, and new research in machine learning proposes to...

Full description

Bibliographic Details
Main Authors: Konstantin E. Rybkin, Andrey A. Filchenkov, Artur A. Azarov, Alexey S. Zabashta, Anatoly A. Shalyto
Format: Article
Language:English
Published: Saint Petersburg National Research University of Information Technologies, Mechanics and Optics (ITMO University) 2022-12-01
Series:Naučno-tehničeskij Vestnik Informacionnyh Tehnologij, Mehaniki i Optiki
Subjects:
multi-agent learning
reinforcement learning
adaptive routing
conveyor belt
graph representation
Online Access:https://ntv.ifmo.ru/file/article/21668.pdf

Internet

https://ntv.ifmo.ru/file/article/21668.pdf

Similar Items