Imitation learning of car driving skills with decision trees and random forests

Machine learning is an appealing and useful approach to creating vehicle control algorithms, both for simulated and real vehicles. One common learning scenario that is often possible to apply is learning by imitation, in which the behavior of an exemplary driver provides training instances for a sup...

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Bibliographic Details

Published in:	International Journal of Applied Mathematics and Computer Science
Main Authors:	Cichosz Paweł, Pawełczak Łukasz
Format:	Article
Language:	English
Published:	Sciendo 2014-09-01
Subjects:	imitation learning behavioral cloning decision trees model ensembles random forest control autonomous driving car racing
Online Access:	https://doi.org/10.2478/amcs-2014-0042