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Heuristic Q-learning based on experience replay for three-dimensional path planning of the unmanned aerial vehicle
In order to solve the problem that the existing reinforcement learning algorithm is difficult to converge due to the excessive state space of the three-dimensional path planning of the unmanned aerial vehicle, this article proposes a reinforcement learning algorithm based on the heuristic function a...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
SAGE Publications
2019
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10453672/ https://www.ncbi.nlm.nih.gov/pubmed/31829875 http://dx.doi.org/10.1177/0036850419879024 |