Cargando…
An Application of Inverse Reinforcement Learning to Estimate Interference in Drone Swarms
Despite the increasing applications, demands, and capabilities of drones, in practice they have only limited autonomy for accomplishing complex missions, resulting in slow and vulnerable operations and difficulty adapting to dynamic environments. To lessen these weaknesses, we present a computationa...
Autores principales: | Kim, Keum Joo, Santos, Eugene, Nguyen, Hien, Pieper, Shawn |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9601803/ https://www.ncbi.nlm.nih.gov/pubmed/37420384 http://dx.doi.org/10.3390/e24101364 |
Ejemplares similares
-
Model driven development for embedded software: application to communications for drone swarm
por: Maxa, Jean-Aime
Publicado: (2018) -
Autonomous Navigation for Drone Swarms in GPS-Denied Environments Using Structured Learning
por: Power, William, et al.
Publicado: (2020) -
Cross-Entropy as a Metric for the Robustness of Drone Swarms
por: Cofta, Piotr, et al.
Publicado: (2020) -
Application of Deep Reinforcement Learning to UAV Swarming for Ground Surveillance
por: Arranz, Raúl, et al.
Publicado: (2023) -
Unsupervised Drones Swarm Characterization Using RF Signals Analysis and Machine Learning Methods
por: Ashush, Nerya, et al.
Publicado: (2023)