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General Purpose Low-Level Reinforcement Learning Control for Multi-Axis Rotor Aerial Vehicles †
This paper proposes a multipurpose reinforcement learning based low-level multirotor unmanned aerial vehicles control structure constructed using neural networks with model-free training. Other low-level reinforcement learning controllers developed in studies have only been applicable to a model-spe...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8271845/ https://www.ncbi.nlm.nih.gov/pubmed/34283119 http://dx.doi.org/10.3390/s21134560 |