Revealing principles of autonomous thermal soaring in windy conditions using vulture-inspired deep reinforcement-learning
- DOI
- 10.1038/s41467-024-48670-x
- Published
- 2024-06-10
- Container
- Nature Communications
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1038/s41467-024-48670-x,
title = {Revealing principles of autonomous thermal soaring in windy conditions using vulture-inspired deep reinforcement-learning},
author = {Yoav Flato and Roi Harel and Aviv Tamar and Ran Nathan and Tsevi Beatus},
year = {2024},
journal = {Nature Communications},
doi = {10.1038/s41467-024-48670-x},
url = {https://doi.org/10.1038/s41467-024-48670-x}
}RIS
TY - JOUR TI - Revealing principles of autonomous thermal soaring in windy conditions using vulture-inspired deep reinforcement-learning AU - Yoav Flato AU - Roi Harel AU - Aviv Tamar AU - Ran Nathan AU - Tsevi Beatus PY - 2024 JO - Nature Communications DO - 10.1038/s41467-024-48670-x UR - https://doi.org/10.1038/s41467-024-48670-x ER -
APA
Flato, Y., Harel, R., Tamar, A., Nathan, R., & Beatus, T. (2024). Revealing principles of autonomous thermal soaring in windy conditions using vulture-inspired deep reinforcement-learning. Nature Communications. https://doi.org/10.1038/s41467-024-48670-x
Source records
- crossref · retrieved 2026-11-04T20:23:17.767Z