SPHTRLM: secure and privacy-preserving hyperparameter-tuned reinforcement learning method for robot path finding in dynamic environments
- DOI
- 10.1038/s41598-026-48141-x
- Published
- 2026-04-09
- Container
- Scientific Reports
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1038/s41598-026-48141-x,
title = {SPHTRLM: secure and privacy-preserving hyperparameter-tuned reinforcement learning method for robot path finding in dynamic environments},
author = {Revati Raman Dewangan and Deepali Thombre and Vivek Parganiha and Monika Verma and Amit Pimpalkar and Bhupesh Kumar Dewangan and Nilesh Shelke},
year = {2026},
journal = {Scientific Reports},
doi = {10.1038/s41598-026-48141-x},
url = {https://doi.org/10.1038/s41598-026-48141-x}
}RIS
TY - JOUR TI - SPHTRLM: secure and privacy-preserving hyperparameter-tuned reinforcement learning method for robot path finding in dynamic environments AU - Revati Raman Dewangan AU - Deepali Thombre AU - Vivek Parganiha AU - Monika Verma AU - Amit Pimpalkar AU - Bhupesh Kumar Dewangan AU - Nilesh Shelke PY - 2026 JO - Scientific Reports DO - 10.1038/s41598-026-48141-x UR - https://doi.org/10.1038/s41598-026-48141-x ER -
APA
Dewangan, R. R., Thombre, D., Parganiha, V., Verma, M., Pimpalkar, A., Dewangan, B. K., & Shelke, N. (2026). SPHTRLM: secure and privacy-preserving hyperparameter-tuned reinforcement learning method for robot path finding in dynamic environments. Scientific Reports. https://doi.org/10.1038/s41598-026-48141-x
Source records
- crossref · retrieved 2026-11-10T22:05:14.877Z