2020.7.20 AI papers

07-14-2020	Goal-Aware Prediction: Learning to Model What Matters by Suraj Nair et al
07-15-2020	Distributed Reinforcement Learning of Targeted Grasping with Active Vision for Mobile Manipulators by Yasuhiro Fujita et al
07-15-2020	Explaining Deep Neural Networks using Unsupervised Clustering by Yu-han Liu et al
07-16-2020	DRIFT: Deep Reinforcement Learning for Functional Software Testing by Luke Harries et al
07-14-2020	Our Evaluation Metric Needs an Update to Encourage Generalization by Swaroop Mishra et al
07-15-2020	Active World Model Learning with Progress Curiosity by Kuno Kim et al
07-15-2020	Deep Learning for Abstract Argumentation Semantics by Dennis Craandijk et al
07-14-2020	Lifelong Learning using Eigentasks: Task Separation, Skill Acquisition, and Selective Transfer by Aswin Raghavan et al
07-17-2020	Technologies for Trustworthy Machine Learning: A Survey in a Socio-Technical Context by Ehsan Toreini et al
07-16-2020	Mixture of Step Returns in Bootstrapped DQN by Po-Han Chiang et al
07-14-2020	Extracting Structured Data from Physician-Patient Conversations By Predicting Noteworthy Utterances by Kundan Krishna et al
07-17-2020	AlignNet: Unsupervised Entity Alignment by Antonia Creswell et al
07-15-2020	Predicting Clinical Diagnosis from Patients Electronic Health Records Using BERT-based Neural Networks by Pavel Blinov et al
07-14-2020	Multi-Task Reinforcement Learning as a Hidden-Parameter Block MDP by Amy Zhang et al
07-16-2020	Dueling Deep Q Network for Highway Decision Making in Autonomous Vehicles: A Case Study by Teng Liu et al
07-14-2020	Efficient Online Estimation of Empowerment for Reinforcement Learning by Ruihan Zhao et al
07-16-2020	Strengthening Deterministic Policies for POMDPs by Leonore Winterer et al
07-17-2020	Sequential Explanations with Mental Model-Based Policies by Arnold YS Yeung et al
07-16-2020	Provably Good Batch Reinforcement Learning Without Great Exploration by Yao Liu et al
07-17-2020	Discovering Reinforcement Learning Algorithms by Junhyuk Oh et al
07-16-2020	Meta-Gradient Reinforcement Learning with an Objective Discovered Online by Zhongwen Xu et al
07-14-2020	Intelligent requirements engineering from natural language and their chaining toward CAD models by Alain-Jérôme Fougères et al
07-16-2020	The role of collider bias in understanding statistics on racially biased policing by Norman Fenton et al
07-16-2020	Toward Forgetting-Sensitive Referring Expression Generationfor Integrated Robot Architectures by Tom Williams et al
07-14-2020	Global Convergence of Second-order Dynamics in Two-layer Neural Networks by Walid Krichene et al
07-16-2020	PC-PG: Policy Cover Directed Exploration for Provable Policy Gradient Learning by Alekh Agarwal et al
07-14-2020	Robust Identifiability in Linear Structural Equation Models of Causal Inference by Karthik Abinav Sankararaman et al
07-17-2020	CovidCare: Transferring Knowledge from Existing EMR to Emerging Epidemic for Interpretable Prognosis by Liantao Ma et al
07-16-2020	Transfer Deep Reinforcement Learning-enabled Energy Management Strategy for Hybrid Tracked Vehicle by Xiaowei Guo et al
07-17-2020	A biological plausible audio-visual integration model for continual lifelong learning by Wenjie Chen et al
07-17-2020	Latent Instrumental Variables as Priors in Causal Inference based on Independence of Cause and Mechanism by Nataliya Sokolovska et al
07-14-2020	Are We There Yet? Evaluating State-of-the-Art Neural Network based Geoparsers Using EUPEG as a Benchmarking Platform by Jimin Wang et al
07-17-2020	Hyperparameter Selection for Offline Reinforcement Learning by Tom Le Paine et al
07-14-2020	Learning Syllogism with Euler Neural-Networks by Tiansi Dong et al
07-17-2020	Tackling scalability issues in mining path patterns from knowledge graphs: a preliminary study by Pierre Monnin et al
07-16-2020	Specification mining and automated task planning for autonomous robots based on a graph-based spatial temporal logic by Zhiyu Liu et al
07-16-2020	Efficient State Abstraction using Object-centered Predicates for Manipulation Planning by Alejandro Agostini et al
07-14-2020	Programming by Rewards by Nagarajan Natarajan et al
07-16-2020	Enabling Morally Sensitive Robotic Clarification Requests by Ryan Blake Jackson et al
07-14-2020	Lifelong Policy Gradient Learning of Factored Policies for Faster Training Without Forgetting by Jorge A. Mendez et al
07-15-2020	Developmental Reinforcement Learning of Control Policy of a Quadcopter UAV with Thrust Vectoring Rotors by Aditya M. Deshpande et al
07-14-2020	Optimizing Memory Placement using Evolutionary Graph Reinforcement Learning by Shauharda Khadka et al
07-15-2020	Cause vs. Effect in Context-Sensitive Prediction of Business Process Instances by Jens Brunk et al
07-16-2020	Reinforcement Learning-Enabled Decision-Making Strategies for a Vehicle-Cyber-Physical-System in Connected Environment by Teng Liu et al
07-15-2020	Defeasible RDFS via Rational Closure by Giovanni Casini et al
07-15-2020	Failures of Contingent Thinking by Evan Piermont et al
07-14-2020	Conditional Independences and Causal Relations implied by Sets of Equations by Tineke Blom et al
07-14-2020	A model to support collective reasoning: Formalization, analysis and computational assessment by Jordi Ganzer et al
07-17-2020	Learning Desirable Matchings From Partial Preferences by Hadi Hosseini et al
07-17-2020	Constraint-Based Software Diversification for Efficient Mitigation of Code-Reuse Attacks by Rodothea Myrsini Tsoupidi et al
07-15-2020	Tractable Fragments of Temporal Sequences of Topological Information by Quentin Cohen-Solal
07-14-2020	Opening the Software Engineering Toolbox for the Assessment of Trustworthy AI by Mohit Kumar Ahuja et al
07-16-2020	Collision Avoidance Robotics Via Meta-Learning (CARML) by Abhiram Iyer et al
07-14-2020	Generic Outlier Detection in Multi-Armed Bandit by Yikun Ban et al
07-14-2020	A Normative approach to Attest Digital Discrimination by Natalia Criado et al
07-16-2020	Conservative AI and social inequality: Conceptualizing alternatives to bias through social theory by Mike Zajko