人工智能每日论文速递[08.28]

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cs.AI 方向,今日共计22篇

【1】 Artificial Intelligence Approaches
标题:人工智能方法
作者: Yingjie Hu, Mansour Raad
链接:https://arxiv.org/abs/1908.10345

【2】 Deep Reinforcement Learning for Chatbots Using Clustered Actions and Human-Likeness Rewards
标题:利用集群动作和类人奖励的聊天机器人深度强化学习
作者: Heriberto Cuayáhuitl, Jihie Kim
备注:In International Joint Conference of Neural Networks (IJCNN), 2019
链接:https://arxiv.org/abs/1908.10331

【3】 Explainable AI: A Neurally-Inspired Decision Stack Framework
标题:可解释的AI:一个神经启发的决策堆栈框架
作者: J.L. Olds, N. Koizumi
链接:https://arxiv.org/abs/1908.10300

【4】 Infochain: A Decentralized System for Truthful Information Elicitation
标题:Infohain:一个用于真实信息启发的分散化系统
作者: Cyril van Schreven, Boi Faltings
链接:https://arxiv.org/abs/1908.10258

【5】 Continuous Value Iteration (CVI) Reinforcement Learning and Imaginary Experience Replay (IER) for learning multi-goal, continuous action and state space controllers
标题:连续值迭代(CVI)强化学习和虚拟体验重播(IER),用于学习多目标、连续动作和状态空间控制器
作者: Andreas Gerken, Michael Spranger
备注:Published in 2019 International Conference on Robotics and Automation (ICRA) 20-24 May 2019
链接:https://arxiv.org/abs/1908.10255

【6】 Enabling Semantic Data Access for Toxicological Risk Assessment
标题:为毒理学风险评估启用语义数据访问
作者: Erik Bryhn Myklebust, Knut Erik Tollefsen
链接:https://arxiv.org/abs/1908.10128

【7】 Learning-Based Video Game Development in MLP@UoM: An Overview
标题:基于学习的MLP@UOM视频游戏开发综述
作者: Ke Chen
备注:8 pages, 15 figures Invited paper presented as a keynote speech, ICEEIE'19 in Bali, Indonesia
链接:https://arxiv.org/abs/1908.10127

【8】 Heuristic design of fuzzy inference systems: A review of three decades of research
标题:模糊推理系统的启发式设计:三十年研究回顾
作者: Varun Ojha, Vaclav Snasel
链接:https://arxiv.org/abs/1908.10122

【9】 Bridging the Gap for Tokenizer-Free Language Models
标题:为无令牌器语言模型架起桥梁
作者: Dokook Choe, Noah Constant
链接:https://arxiv.org/abs/1908.10322

【10】 Is the Red Square Big? MALeViC: Modeling Adjectives Leveraging Visual Contexts
标题:红场大吗?MALeViC:利用视觉上下文对形容词进行建模
作者: Sandro Pezzelle, Raquel Fernández
备注:Accepted at EMNLP-IJCNLP 2019
链接:https://arxiv.org/abs/1908.10285

【11】 CNN-Based PET Sinogram Repair to Mitigate Defective Block Detectors
标题:基于CNN的PET正弦图修复减轻缺陷块检测器
作者: William Whiteley, Jens Gregor
链接:https://arxiv.org/abs/1908.10252

【12】 Task-assisted Motion Planning in Partially Observable Domains
标题:部分可观测领域中的任务辅助运动规划
作者: Antony Thomas, Marco Baglietto
链接:https://arxiv.org/abs/1908.10227

【13】 Datalog Reasoning over Compressed RDF Knowledge Bases
标题:压缩RDF知识库上的Datalog推理
作者: Pan Hu, Ian Horrocks
备注:CIKM 2019
链接:https://arxiv.org/abs/1908.10177

【14】 Proactive Intention Recognition for Joint Human-Robot Search and Rescue Missions through Monte-Carlo Planning in POMDP Environments
标题:POMDP环境下基于蒙特卡罗规划的人-机器人联合搜索救援任务的主动意图识别
作者: Dimitri Ognibene, Letizia Marchegiani
链接:https://arxiv.org/abs/1908.10125

【15】 Research on Autonomous Maneuvering Decision of UCAV based on Approximate Dynamic Programming
标题:基于近似动态规划的UCAV自主机动决策研究
作者: Zhencai Hu, Fei Wang
链接:https://arxiv.org/abs/1908.10010

【16】 An Emotional Analysis of False Information in Social Media and News Articles
标题:社交媒体和新闻文章中虚假信息的情感分析
作者: Bilal Ghanem, Francisco Rangel
链接:https://arxiv.org/abs/1908.09951

【17】 Don't paraphrase, detect! Rapid and Effective Data Collection for Semantic Parsing
标题:不要转述,检测!用于语义分析的快速有效的数据收集
作者: Jonathan Herzig, Jonathan Berant
备注:EMNLP-IJCNLP 2019
链接:https://arxiv.org/abs/1908.09940

【18】 Toward Dialogue Modeling: A Semantic Annotation Scheme for Questions and Answers
标题:面向对话建模:一种问答语义标注方案
作者: Maria-Andrea Cruz-Blandón (IDMC), LORIA)
链接:https://arxiv.org/abs/1908.09921

【19】 Coarse Correlation in Extensive-Form Games
标题:粗略相关在泛型博弈中的应用
作者: Gabriele Farina, Tuomas Sandholm
链接:https://arxiv.org/abs/1908.09893

【20】 Multi-Granularity Representations of Dialog
标题:对话框的多粒度表示
作者: Shikib Mehri, Maxine Eskenazi
备注:Accepted as a long paper at EMNLP 2019
链接:https://arxiv.org/abs/1908.09890

【21】 Hyperparameter-Free Losses for Model-Based Monocular Reconstruction
标题:基于模型的单目重建的超参数无损失
作者: Eduard Ramon, Xavier Giró-i-Nieto
链接:https://arxiv.org/abs/1908.09001

【22】 Architecture Search by Estimation of Network Structure Distributions
标题:基于网络结构分布估计的体系结构搜索
作者: Anton Muravev, Moncef Gabbouj
链接:https://arxiv.org/abs/1908.06886

机器翻译,仅供参考

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