Machine Learning for Traffic Control of Unmanned Mining Machines : Using the Q-learning and SARSA algorithms

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...

Full description

Bibliographic Details
Main Authors: Gustafsson, Robin, Fröjdendahl, Lucas
Format: Others
Language:English
Published: KTH, Hälsoinformatik och logistik 2019
Subjects:
Machine Learning
reinforcement learning
Q-learning
SARSA
autonomous machines
mining
Maskininlärning
självstyrande maskiner
gruvdrift
Software Engineering
Programvaruteknik
Online Access:http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-260285

Internet

http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-260285

Similar Items