Scenario co-evolution for reinforcement learning on a grid world smart factory domain

Export metadata

Statistics

Number of document requests

Additional Services

Share in Twitter Search Google Scholar
Metadaten
Author:Thomas Gabor, Andreas Sedlmeier, Marie Kiermeier, Thomy Phan, Marcel Henrich, Monika Pichlmair, Bernhard Kempter, Cornel Klein, Horst Sauer, Reiner Schmid, Jan Wieghardt
Frontdoor URLhttps://opus.bibliothek.uni-augsburg.de/opus4/117332
ISBN:978-1-4503-6111-8OPAC
Parent Title (English):GECCO '19: proceedings of the Genetic and Evolutionary Computation Conference, Prague, Czech Republic, July 13-17, 2019
Publisher:Association for Computing Machinery (ACM)
Place of publication:New York, NY
Editor:Manuel López-Ibáñez, Anne Auger, Thomas Stützle
Type:Conference Proceeding
Language:English
Year of first Publication:2019
Release Date:2024/12/06
First Page:898
Last Page:906
DOI:https://doi.org/10.1145/3321707.3321831
Institutes:Fakultät für Angewandte Informatik
Fakultät für Angewandte Informatik / Institut für Informatik
Nachhaltigkeitsziele
Nachhaltigkeitsziele / Ziel 9 - Industrie, Innovation und Infrastruktur