Machine Learning for Traffic Control of Unmanned Mining Machines : Using the Q-learning and SARSA algorithms
Manual configuration of rules for unmanned mining machine traffic control can be time-consuming and therefore expensive. This paper presents a Machine Learning approach for automatic configuration of rules for traffic control in mines with autonomous mining machines by using Q-learning and SARSA. Th...
Main Authors: | , |
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Format: | Others |
Language: | English |
Published: |
KTH, Hälsoinformatik och logistik
2019
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Subjects: | |
Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-260285 |