Air Traffic Control Reinforcement Learning Environment

DOI:10.4121/20455296.v1
The DOI displayed above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
DOI: 10.4121/20455296
Datacite citation style:
Badea, Andrei; Morfin Veytia, Andres; Ribeiro, Marta; Groot, Jan (2022): Air Traffic Control Reinforcement Learning Environment. Version 1. 4TU.ResearchData. software. https://doi.org/10.4121/20455296.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

Software

Simplified air traffic control environment suitable for applying Reinforcement Learning techniques for conflict resolution. 

History

  • 2022-08-09 first online, published, posted

Publisher

4TU.ResearchData

Organizations

TU Delft, Faculty of Aerospace Engineering, Department of Control & Operations

DATA

Files (1)