2019.07.14 AI papers

07-10-2019	Striving for Simplicity in Off-policy Deep Reinforcement Learning by Rishabh Agarwal et al
07-09-2019	Procedural Content Generation through Quality Diversity by Daniele Gravina et al
07-10-2019	Vision-and-Dialog Navigation by Jesse Thomason et al
07-11-2019	Artificial Intelligence as a Services (AI-aaS) on Software-Defined Infrastructure by Saeedeh Parsaeefard et al
07-12-2019	Learning Self-Correctable Policies and Value Functions from Demonstrations with Negative Sampling by Yuping Luo et al
07-11-2019	Imitation-Projected Policy Gradient for Programmatic Reinforcement Learning by Abhinav Verma et al
07-10-2019	A Model-based Approach for Sample-efficient Multi-task Reinforcement Learning by Nicholas C. Landolfi et al
07-11-2019	Safe Policy Improvement with Soft Baseline Bootstrapping by Kimia Nadjahi et al
07-11-2019	ADDMC: Exact Weighted Model Counting with Algebraic Decision Diagrams by Jeffrey M. Dudek et al
07-12-2019	From Observability to Significance in Distributed Information Systems by Mark Burgess
07-10-2019	Semantic Parsing with Dual Learning by Ruisheng Cao et al
07-09-2019	Adaptive Margin Ranking Loss for Knowledge Graph Embeddings via a Correntropy Objective Function by Mojtaba Nayyeri et al
07-12-2019	Augmenting Neural Nets with Symbolic Synthesis: Applications to Few-Shot Learning by Adithya Murali et al
07-09-2019	On the Semantic Interpretability of Artificial Intelligence Models by Vivian S. Silva et al
07-11-2019	Evidential positive opinion influence measures for viral marketing by Siwar Jendoubi et al
07-10-2019	Learning to Reason with Relational Video Representation for Question Answering by Thao Minh Le et al
07-11-2019	MLR (Memory, Learning and Recognition): A General Cognitive Model -- applied to Intelligent Robots and Systems Control by Aras R. Dargazany
07-11-2019	Graph-Structured Visual Imitation by Maximilian Sieb et al
07-10-2019	RL-RRT: Kinodynamic Motion Planning via Learning Reachability Estimators from RL Policies by Hao-Tien Lewis Chiang et al
07-11-2019	Why Blocking Targeted Adversarial Perturbations Impairs the Ability to Learn by Ziv Katzir et al
07-11-2019	Rethink Global Reward Game and Credit Assignment in Multi-agent Reinforcement Learning by Jianhong Wang et al
07-10-2019	A Deep Reinforcement-Learning-based Driving Policy for Autonomous Road Vehicles by Konstantinos Makantasis et al
07-11-2019	DisCoRL: Continual Reinforcement Learning via Policy Distillation by René Traoré et al
07-12-2019	A semi-holographic hyperdimensional representation system for hardware-friendly cognitive computing by A. Serb et al
07-09-2019	Variance-Based Risk Estimations in Markov Processes via Transformation with State Lumping by Shuai Ma et al
07-12-2019	Automatic Generation of Atomic Consistency Preserving Search Operators for Search-Based Model Engineering by Alexandru Burdusel et al
07-11-2019	Effective and General Evaluation for Instruction Conditioned Navigation using Dynamic Time Warping by Gabriel Magalhaes et al
07-11-2019	Knowledge-incorporating ESIM models for Response Selection in Retrieval-based Dialog Systems by Jatin Ganhotra et al
07-12-2019	Learning an Urban Air Mobility Encounter Model from Expert Preferences by Sydney M. Katz et al
07-09-2019	A Conformance Checking-based Approach for Drift Detection in Business Processes by Víctor Gallego-Fontenla et al
07-10-2019	Data-driven Policy on Feasibility Determination for the Train Shunting Problem by Paulo R. de O. da Costa et al
07-11-2019	Adaptive Thompson Sampling Stacks for Memory Bounded Open-Loop Planning by Thomy Phan et al
07-11-2019	Grounding Value Alignment with Ethical Principles by Tae Wan Kim et al
07-11-2019	Reward Advancement: Transforming Policy under Maximum Causal Entropy Principle by Guojun Wu et al
07-10-2019	Exploiting Causality for Selective Belief Filtering in Dynamic Bayesian Networks (Extended Abstract) by Stefano V. Albrecht et al
07-09-2019	Partially Observable Planning and Learning for Systems with Non-Uniform Dynamics by Nicholas Collins et al
07-09-2019	Informative Path Planning with Local Penalization for Decentralized and Asynchronous Swarm Robotic Search by Payam Ghassemi et al
07-09-2019	Explicitly Conditioned Melody Generation: A Case Study with Interdependent RNNs by Benjamin Genchel et al
07-09-2019	A Scheme for Dynamic Risk-Sensitive Sequential Decision Making by Shuai Ma et al
07-10-2019	An Empirical Study on the Practical Impact of Prior Beliefs over Policy Types by Stefano V. Albrecht et al
07-10-2019	The Role of Cooperation in Responsible AI Development by Amanda Askell et al
07-09-2019	Measuring Inter-group Agreement on zSlice Based General Type-2 Fuzzy Sets by Javier Navarro et al
07-09-2019	Decentralized Dynamic Task Allocation in Swarm Robotic Systems for Disaster Response by Payam Ghassemi et al
07-10-2019	Differentiable Probabilistic Logic Networks by Alexey Potapov et al