机构
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National Key Laboratory for Novel Software Technology, Nanjing University（南京大学新型软件技术国家重点实验室）
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School of Intelligence Science and Technology, Nanjing University（南京大学智能科学与技术学院）
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AMAP, Alibaba Group（阿里集团AMAP）
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School of Computing and Artificial Intelligence, Southwest Jiaotong University（西南交通大学计算机与人工智能学院）
Practical Quantum Advantage before Fault Tolerance via Quantum-Informed Machine Learning
量子信息机器学习预测混沌的实用量子优势基础
Maida Wang, Xiao Xue, Minh Chung, Peter V. Coveney
机构
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Centre for Computational Science, University College London（大学学院伦敦计算科学中心）
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Leibniz Supercomputing Centre of the Bavarian Academy of Sciences and Humanities（巴伐利亚科学院和人文科学莱比锡超算中心）
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Centre for Advanced Research Computing, University College London（大学学院伦敦先进研究计算中心）
CommentsRevised the central construction to use type-correct staged left/right Kan extensions; corrected the semantic quotient theorem; added an explicit discounted-MDP/Bellman derivation; and expanded the non-RL decision examples and limitations. A detailed change log appears in the supplement
Variational Neural Belief Parameterizations for Robust Dexterous Grasping under Multimodal Uncertainty
变分神经信念参数化用于多模态不确定性下的鲁棒灵巧抓取
Clinton Enwerem, Shreya Kalyanaraman, John S. Baras, Calin Belta
机构
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Department of Electrical & Computer Engineering and Institute for Systems Research, University of Maryland, College Park, MD, USA（电气与计算机工程系和系统研究所，马里兰大学，College Park, MD, USA）
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Maryland Applied Graduate Engineering, A. James Clark School of Engineering, University of Maryland, College Park, MD, USA（马里兰应用研究生工程学院，A. James Clark工程学院，马里兰大学，College Park, MD, USA）
机构
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MAIS, Institute of Automation, Chinese Academy of Sciences（中国科学院自动化研究所模式识别国家重点实验室）
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School of Advanced Interdisciplinary Sciences, University of Chinese Academy of Sciences（中国科学院大学交叉科学学院）
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Tsinghua University（清华大学）
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University of Chinese Academy of Sciences（中国科学院大学）
Wenjie Li, Yujie Zhang, Fanrui Zhang, Haoran Sun, Renhao Yang, Junjun He, Weiran Huang, Yuanfeng Ji, Chenrun Wang, Kailing Wang, Hongcheng Gao, Kaipeng Zhang, Hanyu Wang, Angela Lin Wang, Xingqi He, Yilin Huang, Shiyi Yao, Lilong Wang, Yankai Jiang, Yirong Chen, Chenglong Ma, Jiyao Liu, Ming Hu, Gen Li, Yidong Xu, Chengyu Zhuang, Jiawei Liu, Yin Zhang, Lequan Yu, Lu Chen, Yinpeng Dong, Lei Liu, Carlos Gutierrez Sanroman, Yu Qiao, Weijie Ma, Xiaosong Wang, Lei Wang
机构
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Ruijin Hospital, College of Health Science and Technology, Shanghai Jiao Tong University School of Medicine（上海交通大学医学院附属瑞金医院，健康科学技术学院）
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Shanghai Innovation Institute（上海创新研究院）
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Shanghai Artificial Intelligence Laboratory（上海人工智能实验室）
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College of Computer Science and Artificial Intelligence, Fudan University（复旦大学计算机科学与人工智能学院）
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MoE Key Laboratory of Brain-inspired Intelligent Perception and Cognition, University of Science and Technology of China（中国科学技术大学脑启发智能感知与认知教育部重点实验室）
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School of Basic Medical Sciences, Intelligent Medicine Institute, Fudan University（复旦大学基础医学院智能医学研究院）
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Department of Radiation Oncology, Stanford University School of Medicine（斯坦福大学医学院放射肿瘤学系）
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School of Computing and Data Science, The University of Hong Kong（香港大学计算与数据科学学院）
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College of AI, Tsinghua University（清华大学人工智能学院）
CommentsAccepted at the International Workshop on Migration and Agility in Cryptographic Systems (MAgiCS 2026). This version matches the open-access conference paper published by Springer
Interpret Policies in Deep Reinforcement Learning using SILVER with RL-Guided Labeling: A Model-level Approach to High-dimensional and Multi-action Environments
使用带强化学习引导标记的SILVER解释深度强化学习中的策略：一种针对高维多动作环境的模型级方法
Yiyu Qian, Su Nguyen, Chao Chen, Qinyue Zhou, Liyuan Zhao
