Distributed Multi-Agent Bandits Over Erdős-Rényi Random Networks
机构 * Nanjing University(南京大学) ; Università degli Studi di Milano(米兰大学) ; University of Massachusetts Amherst(马萨诸塞大学阿姆赫斯特分校)
高校专区
机构 * Nanjing University(南京大学) ; Università degli Studi di Milano(米兰大学) ; University of Massachusetts Amherst(马萨诸塞大学阿姆赫斯特分校)
机构 * University of Massachusetts Amherst(马萨诸塞大学阿默斯特分校)
Comments 6 pages, including figures and tables. All experiments are reproducible. Code and fine-tuned models are publicly available on: GitHub: (https://github.com/Stimils02/UnfairTOSAgreementsDetection) and Hugging Face: (https://huggingface.co/Noshitha98)
机构 * Nanjing University(南京大学) ; The Chinese University of Hong Kong(香港中文大学) ; University of Massachusetts, Amherst(马萨诸塞大学阿默斯特分校) ; Carnegie Mellon University(卡内基梅隆大学)
机构 * Center for Healthcare Organization and Implementation Research, VA Bedford Health Care(VA贝德福德医疗中心健康组织与实施研究中心) ; Miner School of Computer and Information Sciences, University of Massachusetts Lowell(马萨诸塞大学洛厄尔分校计算机与信息科学学院) ; Manning College of Information and Computer Sciences, University of Massachusetts Amherst(马萨诸塞大学阿姆赫斯特分校信息与计算机科学学院)
Comments Accepted in EMNLP 2025 Findings