Tongtong Liu, Joe McCalmon, Md Asifur Rahman, Cameron Lischke, Talal Halabi, Sarra Alqahtani. Weaponizing Actions in Multi-Agent Reinforcement Learning: Theoretical and Empirical Study on Security and Robustness. In Reyhan Aydogan, Natalia Criado, Jérôme Lang, Víctor Sánchez-Anguix, Marc Serramia, editors, PRIMA 2022: Principles and Practice of Multi-Agent Systems - 24th International Conference, Valencia, Spain, November 16-18, 2022, Proceedings. Volume 13753 of Lecture Notes in Computer Science, pages 347-363, Springer, 2022. [doi]
@inproceedings{LiuMRLHA22,
title = {Weaponizing Actions in Multi-Agent Reinforcement Learning: Theoretical and Empirical Study on Security and Robustness},
author = {Tongtong Liu and Joe McCalmon and Md Asifur Rahman and Cameron Lischke and Talal Halabi and Sarra Alqahtani},
year = {2022},
doi = {10.1007/978-3-031-21203-1_21},
url = {https://doi.org/10.1007/978-3-031-21203-1_21},
researchr = {https://researchr.org/publication/LiuMRLHA22},
cites = {0},
citedby = {0},
pages = {347-363},
booktitle = {PRIMA 2022: Principles and Practice of Multi-Agent Systems - 24th International Conference, Valencia, Spain, November 16-18, 2022, Proceedings},
editor = {Reyhan Aydogan and Natalia Criado and Jérôme Lang and Víctor Sánchez-Anguix and Marc Serramia},
volume = {13753},
series = {Lecture Notes in Computer Science},
publisher = {Springer},
isbn = {978-3-031-21203-1},
}