Analysis of the impact of traffic density on training of reinforcement learning based conflict resolution methods for drones-Reference-Cited by-同舟云学术

Analysis of the impact of traffic density on training of reinforcement learning based conflict resolution methods for drones

Published:2024-07 Issue: Volume:133 Page:108066
ISSN:0952-1976
Container-title:Engineering Applications of Artificial Intelligence
language:en
Short-container-title:Engineering Applications of Artificial Intelligence

Author:

Groot D.J.^ORCID,Ellerbroek J.^ORCID,Hoekstra J.M.

Publisher

Elsevier BV

Reference16 articles.

1. Bilimoria, Karl, Sheth, Kapil, Lee, Hilda, Grabbe, Shon, 2000. Performance evaluation of airborne separation assurance for free flight. In: 18th Applied Aerodynamics Conference. p. 4269.

2. Drone delivery: Urban airspace traffic density estimation;Doole,2018

3. Vertical conflict resolution in layered airspace with reinforcement learning using the BlueSky open air traffic simulator;Groot,2022

4. Groot, Jan, Ribeiro, Marta, Ellerbroek, Joost, Hoekstra, Jacco, 2022. Improving Safety of Vertical Manoeuvres in a Layered Airspace with Deep Reinforcement Learning. In: International Conference on Research in Air Transportation (ICRAT) 2022.

5. Soft actor-critic algorithms and applications;Haarnoja,2018

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