Deep Reinforcement Learning-Based End-to-End Control for UAV Dynamic Target Tracking
- DOI
- 10.3390/biomimetics7040197
- Published
- 2022-11-11
- Container
- Biomimetics
- Publisher
- MDPI AG
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.3390/biomimetics7040197,
title = {Deep Reinforcement Learning-Based End-to-End Control for UAV Dynamic Target Tracking},
author = {Jiang Zhao and Han Liu and Jiaming Sun and Kun Wu and Zhihao Cai and Yan Ma and Yingxun Wang},
year = {2022},
journal = {Biomimetics},
doi = {10.3390/biomimetics7040197},
url = {https://doi.org/10.3390/biomimetics7040197}
}RIS
TY - JOUR TI - Deep Reinforcement Learning-Based End-to-End Control for UAV Dynamic Target Tracking AU - Jiang Zhao AU - Han Liu AU - Jiaming Sun AU - Kun Wu AU - Zhihao Cai AU - Yan Ma AU - Yingxun Wang PY - 2022 JO - Biomimetics DO - 10.3390/biomimetics7040197 UR - https://doi.org/10.3390/biomimetics7040197 ER -
APA
Zhao, J., Liu, H., Sun, J., Wu, K., Cai, Z., Ma, Y., & Wang, Y. (2022). Deep Reinforcement Learning-Based End-to-End Control for UAV Dynamic Target Tracking. Biomimetics. https://doi.org/10.3390/biomimetics7040197
Source records
- crossref · retrieved 2026-11-10T09:02:42.668Z