The doi 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

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

Software

• Aerospace Engineering

Air Traffic Control (ATC), Air Traffic Management (ATM), Reinforcement Learning (RL)

MIT

RefWorks, BibTeX, Reference Manager, Endnote, DataCite, NLM, DC, CFF

by Andrei Badea , Andres Morfin Veytia, Marta Ribeiro , Jan Groot

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

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

4TU.ResearchData

• https://github.com/andubadea/atcenv_final

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