Weaponizing Actions in Multi-Agent Reinforcement Learning: Theoretical and Empirical Study on Security and Robustness

Autor:	Tongtong Liu, Joe McCalmon, Md Asifur Rahman, Cameron Lischke, Talal Halabi, Sarra Alqahtani
Rok vydání:	2022
Zdroj:	PRIMA 2022: Principles and Practice of Multi-Agent Systems ISBN: 9783031212024
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::ecae938ba28435cbac214fed93cf708e https://doi.org/10.1007/978-3-031-21203-1_21 Zobrazit plný text záznamu