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Deep Reinforcement Learning Approach with Multiple Experience Pools for UAV’s Autonomous Motion Planning in Complex Unknown Environments
Autonomous motion planning (AMP) of unmanned aerial vehicles (UAVs) is aimed at enabling a UAV to safely fly to the target without human intervention. Recently, several emerging deep reinforcement learning (DRL) methods have been employed to address the AMP problem in some simplified environments, a...
Αποθηκεύτηκε σε:
| Τόπος έκδοσης: | Sensors (Basel) |
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| Κύριοι συγγραφείς: | , , , , |
| Μορφή: | Artigo |
| Γλώσσα: | Inglês |
| Έκδοση: |
MDPI
2020
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| Θέματα: | |
| Διαθέσιμο Online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7180781/ https://ncbi.nlm.nih.gov/pubmed/32235308 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s20071890 |
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