Adaptive Localization for Underwater Nodes in Uncertain Environments: A Geometric Topology Perception-Enhanced Multi-Stage Reinforcement Learning Strategy.
- DOI
- 10.3390/s26175631
- Published
- 2026-09-04
- Container
- Sensors (Basel)
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.3390/s26175631,
title = {Adaptive Localization for Underwater Nodes in Uncertain Environments: A Geometric Topology Perception-Enhanced Multi-Stage Reinforcement Learning Strategy.},
author = {Hao L and Ma C and Cui J and Ao J.},
year = {2026},
journal = {Sensors (Basel)},
doi = {10.3390/s26175631},
url = {https://doi.org/10.3390/s26175631}
}RIS
TY - JOUR TI - Adaptive Localization for Underwater Nodes in Uncertain Environments: A Geometric Topology Perception-Enhanced Multi-Stage Reinforcement Learning Strategy. AU - Hao L AU - Ma C AU - Cui J AU - Ao J. PY - 2026 JO - Sensors (Basel) DO - 10.3390/s26175631 UR - https://doi.org/10.3390/s26175631 ER -
APA
L, H., C, M., J, C., & J., A. (2026). Adaptive Localization for Underwater Nodes in Uncertain Environments: A Geometric Topology Perception-Enhanced Multi-Stage Reinforcement Learning Strategy.. Sensors (Basel). https://doi.org/10.3390/s26175631
Source records
- europe-pmc · retrieved 2026-09-25T02:38:15.451Z