Revised manuscript
Discovering dispatching rules from data using imitation learning: Case study for the job-shop problem
Resubmitted to Journal of Scheduling on December 9th 2016
Manuscript Number: JOSH-D-15-00213R2
Full Title: Discovering dispatching rules from data using imitation learning: Case study for the job-shop problem
Article Type: Paper
Keywords: Scheduling; Composite dispatching rules; Performance Analysis; Imitation Learning: DAgger; Preference Learning
Corresponding Author:
Helga Ingimundardottir, PhD
University of Iceland
Reykjavik, ICELAND
Corresponding Author's Institution: University of Iceland
First Author: Helga Ingimundardottir, PhD
Order of Authors:
- Helga Ingimundardottir, PhD
- Tomas Philip Runarsson, PhD
Funding Information: Háskóli Íslands (HI13110165), Ms. Helga Ingimundardottir