6GAgentGym: Tool Use, Data Synthesis, and Agentic Learning for Network Management
Shenzhen Smart City Technology Development Group Company, Ltd.（深圳市智慧城市科技发展集团有限公司）；Shien-Ming Wu School of Intelligent Engineering, South China University of Technology（华南理工大学吴贤铭智能工程学院）；China Unicom Group Co., Ltd.（中国联合网络通信集团有限公司）
Autonomous 6G network management requires agents that can execute tools, observe the resulting state changes, and adapt their decisions accordingly. Existing benchmarks based on static questions or scripted episode replay, however, do not support such closed-loop interaction, limiting agents to passive evaluation without the ability to learn from environmental feedback. This paper presents 6GAgentGym to provide closed-loop capability. The framework provides an interactive environment with 42 typed tools whose effect classification distinguishes read-only observation from state-mutating configuration, backed by a learned Experiment Model calibrated on NS-3 simulation data. 6G-Forge bootstraps closed-loop training trajectories from NS-3 seeds via iterative Self-Instruct generation with execution verification against the Experiment Model. Supervised fine-tuning on the resulting corpus followed by reinforcement learning with online closed-loop interaction enables an 8B open-source model to achieve comparable overall success rate to GPT-5 on the accompanying 6GAgentBench, with stronger performance on long-horizon tasks. Together, these components provide a viable path toward autonomous, closed-loop network management.
Toward Autonomous O-RAN: A Multi-Scale Agentic AI Framework for Real-Time Network Control and Management
IDLab, Department of Information Technology at Ghent University - imec（IDLab，格鲁特大学信息科技系 - imec）；Department of Electrical and Computer Engineering, Princeton University（电气与计算机工程系，普林斯顿大学）
Formal Foundations of Agentic Business Process Management
University of Oxford, UK（牛津大学，英国）；SAP, Germany（德国SAP公司）；Umeå University, Sweden（乌梅拉大学，瑞典）；University of Mannheim, Germany（曼海姆大学，德国）；Free University of Bozen-Bolzano, Italy（博兹纳自由大学，意大利）
AINTMA: Agentic AI Architecture for Autonomous Test Management with Generative Intelligence, Secure Cloud Communication and Adaptive Quality Analytics
International Business Machines (IBM)（国际商业机器公司（IBM））；Global Atlantic Financial（全球大西洋金融公司）；Docusign（DocuSign公司）；Salesforce Inc（Salesforce公司）；The Home Depot（家得宝公司）
Toward Agentic Optical Networks: A Vision of LLM Agent-Driven Autonomous Lifecycle Management
Beijing University of Posts and Telecommunications（北京邮电大学）；China Telecom Cloud Network Operating System R&D Center（中国电信云网络操作系统研发中心）；China Telecom Research Institute（中国电信研究院）；University of Science and Technology Beijing（北京科技大学）
TheoremForge: Scaling up Formal Data Synthesis with Low-Budget Agentic Workflow
Gaoling School of Artificial Intelligence, Renmin University of China（中国人民大学全球化人工智能学院）；Beijing Key Laboratory of Research on Large Models（北京大模型研究关键实验室）；Engineering Research Center of Next-Generation Intelligent Search（下一代智能搜索与推荐工程研究中心）
Agentic Business Process Management: A Research Manifesto
Free University of Bozen-Bolzano（博尔扎诺自由大学）；University of Oxford（牛津大学）；University of Tartu（塔尔图大学）；IBM Research（IBM研究院）；Umeå University（于默奥大学）；paluno (Ruhr Institute for Software Technology), University of Duisburg Essen（帕卢诺（鲁尔软件技术研究所），杜伊斯堡-埃森大学）；University of Ottawa（渥太华大学）；German Research Center for Artificial Intelligence (DFKI)（德国人工智能研究中心（DFKI））；Saarland University（萨尔大学）；The University of Melbourne（墨尔本大学）；TUM School of Computation, Information, and Technology, TU Munich（慕尼黑工业大学计算、信息与技术学院）；RMIT University（皇家墨尔本理工大学）；Meta；University of St. Gallen（圣加仑大学）
Memory as Action: Autonomous Context Curation for Long-Horizon Agentic Tasks
School of Computer Science and Technology, Beijing Jiaotong University（北京交通大学计算机科学与技术学院）；Hithink Research（慧思科技）；The Hong Kong University of Science and Technology (Guangzhou)（香港科技大学（广州））；Huawei Noah’s Ark Lab（华为诺亚实验室）；Peng Cheng Lab（鹏城实验室）
Agentic reinforcement learning empowers next-generation chemical language models for molecular design and synthesis
School of Electronic and Computer Engineering, Peking University（电子与计算机工程学院，北京大学）；Shenzhen Graduate School, Shenzhen, 518055, China（深圳研究生院，深圳，518055，中国）；International Digital Economy Academy (IDEA)（国际数字经济学院（IDEA））；Peng Cheng Laboratory, Shenzhen, 518000, China（鹏城实验室，深圳，518000，中国）
OWMM-Agent: Open World Mobile Manipulation With Multi-modal Agentic Data Synthesis
Shanghai AI Laboratory（上海人工智能实验室）；School of Computing, National University of Singapore（新加坡国立大学计算机学院）；Shanghai Jiaotong University（上海交通大学）；Tsinghua University（清华大学）
Embodied-BenchForge: A Closed-Loop Agentic Workflow for Embodied Benchmark Construction
QiYuan Lab（启元实验室）；University of Electronic Science and Technology of China（电子科技大学）；Beijing University of Posts and Telecommunications（北京邮电大学）；Northeastern University（东北大学）；Beihang University（北京航空航天大学）；Tsinghua University（清华大学）
