2020.8.24 AI papers

08-18-2020	Super-Human Performance in Gran Turismo Sport Using Deep Reinforcement Learning by Florian Fuchs et al
08-18-2020	Deploying Lifelong Open-Domain Dialogue Learning by Kurt Shuster et al
08-18-2020	Inductive logic programming at 30: a new introduction by Andrew Cropper et al
08-18-2020	Commonsense Knowledge in Wikidata by Filip Ilievski et al
08-18-2020	ReLMoGen: Leveraging Motion Generation in Reinforcement Learning for Mobile Manipulation by Fei Xia et al
08-20-2020	Controlling Dialogue Generation with Semantic Exemplars by Prakhar Gupta et al
08-19-2020	Image Segmentation of Zona-Ablated Human Blastocysts by Md Yousuf Harun et al
08-20-2020	Institutional Grammar 2.0 Codebook by Christopher K. Frantz et al
08-20-2020	Utilizing Explainable AI for Quantization and Pruning of Deep Neural Networks by Muhammad Sabih et al
08-20-2020	A Composable Specification Language for Reinforcement Learning Tasks by Kishor Jothimurugan et al
08-20-2020	The Role of Domain Expertise in User Trust and the Impact of First Impressions with Intelligent Systems by Mahsan Nourani et al
08-19-2020	Data-Independent Structured Pruning of Neural Networks via Coresets by Ben Mussay et al
08-19-2020	Intelligent Replication Management for HDFS Using Reinforcement Learning by Hyunsung Lee
08-19-2020	Using Sampling Strategy to Assist Consensus Sequence Analysis by Zhichao Xu et al
08-18-2020	Trust and Medical AI: The challenges we face and the expertise needed to overcome them by Thomas P. Quinn et al
08-19-2020	DPMC: Weighted Model Counting by Dynamic Programming on Project-Join Trees by Jeffrey M. Dudek et al
08-18-2020	Leveraging Historical Interaction Data for Improving Conversational Recommender System by Kun Zhou et al
08-21-2020	Learning to Collaborate in Multi-Module Recommendation via Multi-Agent Reinforcement Learning without Communication by Xu He et al
08-20-2020	COOKIE: A Dataset for Conversational Recommendation over Knowledge Graphs in E-commerce by Zuohui Fu et al
08-21-2020	Curriculum Learning with Hindsight Experience Replay for Sequential Object Manipulation Tasks by Binyamin Manela et al
08-19-2020	Reinforcement Learning for Low-Thrust Trajectory Design of Interplanetary Missions by Alessandro Zavoli et al
08-20-2020	Expressing Diverse Human Driving Behavior with Probabilistic Rewards and Online Inference by Liting Sun et al
08-19-2020	Intelligent Radio Signal Processing: A Contemporary Survey by Quoc-Viet Pham et al
08-21-2020	Evaluating Machine Learning Models for the Fast Identification of Contingency Cases by Florian Schaefer et al
08-20-2020	Causal Future Prediction in a Minkowski Space-Time by Athanasios Vlontzos et al
08-20-2020	VisualSem: a high-quality knowledge graph for vision and language by Houda Alberts et al
08-18-2020	Characterizing Stage-Aware Writing Assistance in Collaborative Document Authoring by Bahareh Sarrafzadeh et al
08-19-2020	SentiQ: A Probabilistic Logic Approach to Enhance Sentiment Analysis Tool Quality by Wissam Maamar Kouadri et al
08-21-2020	Reinforcement Learning-based Admission Control in Delay-sensitive Service Systems by Majid Raeis et al
08-20-2020	Neural Logic Reasoning by Shaoyun Shi et al
08-20-2020	Patient ADE Risk Prediction through Hierarchical Time-Aware Neural Network Using Claim Codes by Jinhe Shi et al
08-19-2020	Learning Attribute-Based and Relationship-Based Access Control Policies with Unknown Values by Thang Bui et al
08-18-2020	Mediating Community-AI Interaction through Situated Explanation: The Case of AI-Led Moderation by Yubo Kou et al
08-21-2020	A Heuristic Approach to Two Level Boolean Minimization Derived from Karnaugh Mapping by Ethan L. Childerhose et al
08-19-2020	Prescriptive Business Process Monitoring for Recommending Next Best Actions by Sven Weinzierl et al
08-21-2020	Differentiable TAN Structure Learning for Bayesian Network Classifiers by Wolfgang Roth et al
08-18-2020	Learning Fair Policies in Multiobjective (Deep) Reinforcement Learning with Average and Discounted Rewards by Umer Siddique et al
08-21-2020	Bits and Pieces: Understanding Information Decomposition from Part-whole Relationships and Formal Logic by Aaron J. Gutknecht et al
08-19-2020	A Survey of Knowledge-based Sequential Decision Making under Uncertainty by Shiqi Zhang et al
08-18-2020	Analysis of Social Robotic Navigation approaches: CNN Encoder and Active Learning as an alternative to Deep Reinforcement Learning by Janderson Ferreira et al
08-20-2020	Algorithmic Transparency with Strategic Users by Qiaochu Wang et al
08-21-2020	Entropia: A Family of Entropy-Based Conformance Checking Measures for Process Mining by Artem Polyvyanyy et al
08-20-2020	Adventures in Mathematical Reasoning by Toby Walsh
08-20-2020	Multi-Agent Reinforcement Learning with Graph Clustering by Tianze Zhou et al
08-19-2020	Balanced Order Batching with Task-Oriented Graph Clustering by Lu Duan et al
08-19-2020	Tractable Inference in Credal Sentential Decision Diagrams by Lilith Mattei et al
08-18-2020	XNAP: Making LSTM-based Next Activity Predictions Explainable by Using LRP by Sven Weinzierl et al
08-18-2020	Relational Reflection Entity Alignment by Xin Mao et al
08-18-2020	Long-Term Effect Estimation with Surrogate Representation by Lu Cheng et al
08-18-2020	S^3-Rec: Self-Supervised Learning for Sequential Recommendation with Mutual Information Maximization by Kun Zhou et al
08-19-2020	Authorized and Unauthorized Practices of Law: The Role of Autonomous Levels of AI Legal Reasoning by Lance Eliot
08-18-2020	Addestramento con Dataset Sbilanciati by Massimiliano Morrelli
08-19-2020	Assessing Safety-Critical Systems from Operational Testing: A Study on Autonomous Vehicles by Xingyu Zhao et al
08-18-2020	A Hierarchical User Intention-Habit Extract Network for Credit Loan Overdue Risk Detection by Hao Guo et al
08-18-2020	Turing Test and the Practice of Law: The Role of Autonomous Levels of AI Legal Reasoning by Lance Eliot