L2M-AID: Autonomous Cyber-Physical Defense by Fusing Semantic Reasoning of Large Language Models with Multi-Agent Reinforcement Learning (Preprint)
机构 * Peking University(北京大学) ; RWTH Aachen University(亚琛工业大学) ; University of Texas at Austin(德克萨斯大学奥斯汀分校) ; Wuhan University(武汉大学) ; Thales Group(泰雷兹集团) ; Chinese Medical Information and Big Data Association(中国医学信息与大数据协会)
专题命中 推理评测 :reasoning(title);分类 cs.AI
Comments This preprint was submitted to IEEE TrustCom 2025. The accepted version will be published under copyright 2025 IEEE