Noisy Dueling Double Deep Q-Network algorithm for autonomous underwater vehicle path planning
How to improve the success rate of autonomous underwater vehicle (AUV) path planning and reduce travel time as much as possible is a very challenging and crucial problem in the practical applications of AUV in the complex ocean current environment. Traditional reinforcement learning algorithms lack...
Guardat en:
| Autors principals: | , , , , |
|---|---|
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Frontiers Media S.A.
2024-10-01
|
| Col·lecció: | Frontiers in Neurorobotics |
| Matèries: | |
| Accés en línia: | https://www.frontiersin.org/articles/10.3389/fnbot.2024.1466571/full |
| Etiquetes: |
Sense etiquetes, Sigues el primer a etiquetar aquest registre!
|