SafeCodeRL: Security-Constrained Multi-Agent Reinforcement Learning for Trustworthy LLM-Generated IoT/CPS Software
- DOI
- 10.3390/s26113502
- Published
- 2026-06-02
- Container
- Sensors
- Publisher
- MDPI AG
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.3390/s26113502,
title = {SafeCodeRL: Security-Constrained Multi-Agent Reinforcement Learning for Trustworthy LLM-Generated IoT/CPS Software},
author = {Zhihua Wang and Junfan Chen and Zixiang Wei and Lan Lin and Guoxiang Tong},
year = {2026},
journal = {Sensors},
doi = {10.3390/s26113502},
url = {https://doi.org/10.3390/s26113502}
}RIS
TY - JOUR TI - SafeCodeRL: Security-Constrained Multi-Agent Reinforcement Learning for Trustworthy LLM-Generated IoT/CPS Software AU - Zhihua Wang AU - Junfan Chen AU - Zixiang Wei AU - Lan Lin AU - Guoxiang Tong PY - 2026 JO - Sensors DO - 10.3390/s26113502 UR - https://doi.org/10.3390/s26113502 ER -
APA
Wang, Z., Chen, J., Wei, Z., Lin, L., & Tong, G. (2026). SafeCodeRL: Security-Constrained Multi-Agent Reinforcement Learning for Trustworthy LLM-Generated IoT/CPS Software. Sensors. https://doi.org/10.3390/s26113502
Source records
- crossref · retrieved 2026-11-10T07:55:54.576Z