Jianan Lin, Yao Chen 0003, Zhengyang Ji, Meng Yuan, Bo Hou, Shaolin Tan. Safe APG: Accelerated Policy Gradient Algorithm for Secure Policy Updating in Reinforcement Learning. In Inês Lynce, nello Murano, Mauro Vallati, Serena Villata, Federico Chesani, Michela Milano, Andrea Omicini, Mehdi Dastani, editors, ECAI 2025 - 28th European Conference on Artificial Intelligence, 25-30 October 2025, Bologna, Italy - Including 14th Conference on Prestigious Applications of Intelligent Systems (PAIS 2025). Volume 413 of Frontiers in Artificial Intelligence and Applications, pages 2945-2952, IOS Press, 2025. [doi]
@inproceedings{Lin0JYHT25,
title = {Safe APG: Accelerated Policy Gradient Algorithm for Secure Policy Updating in Reinforcement Learning},
author = {Jianan Lin and Yao Chen 0003 and Zhengyang Ji and Meng Yuan and Bo Hou and Shaolin Tan},
year = {2025},
doi = {10.3233/FAIA251154},
url = {https://doi.org/10.3233/FAIA251154},
researchr = {https://researchr.org/publication/Lin0JYHT25},
cites = {0},
citedby = {0},
pages = {2945-2952},
booktitle = {ECAI 2025 - 28th European Conference on Artificial Intelligence, 25-30 October 2025, Bologna, Italy - Including 14th Conference on Prestigious Applications of Intelligent Systems (PAIS 2025)},
editor = {Inês Lynce and nello Murano and Mauro Vallati and Serena Villata and Federico Chesani and Michela Milano and Andrea Omicini and Mehdi Dastani},
volume = {413},
series = {Frontiers in Artificial Intelligence and Applications},
publisher = {IOS Press},
isbn = {978-1-64368-631-8},
}