2019.06.23 AI papers

06-19-2019	Inherent Tradeoffs in Learning Fair Representation by Han Zhao et al
06-19-2019	PyRobot: An Open-source Robotics Framework for Research and Benchmarking by Adithyavairavan Murali et al
06-19-2019	SwiftNet: Using Graph Propagation as Meta-knowledge to Search HighlyvRepresentative Neural Architectures by Hsin-Pai et al
06-18-2019	On the Constrained Least-cost Tour Problem by Patrick O'Hara et al
06-20-2019	HappyBot: Generating Empathetic Dialogue Responses by Improving User Experience Look-ahead by Jamin Shin et al
06-20-2019	Exploring Model-based Planning with Policy Networks by Tingwu Wang et al
06-21-2019	Mitigating Bias in Algorithmic Employment Screening: Evaluating Claims and Practices by Manish Raghavan et al
06-18-2019	Adapting Behaviour via Intrinsic Reward: A Survey and Empirical Study by Cam Linke et al
06-19-2019	An Open-World Extension to Knowledge Graph Completion Models by Haseeb Shah et al
06-18-2019	Uncovering Probabilistic Implications in Typological Knowledge Bases by Johannes Bjerva et al
06-20-2019	Autonomous Haiku Generation by Rui Aguiar et al
06-20-2019	Modeling AGI Safety Frameworks with Causal Influence Diagrams by Tom Everitt et al
06-20-2019	Probabilistic Logic Neural Networks for Reasoning by Meng Qu et al
06-18-2019	Robust Reinforcement Learning for Continuous Control with Model Misspecification by Daniel J. Mankowitz et al
06-19-2019	Adaptive Temporal-Difference Learning for Policy Evaluation with Per-State Uncertainty Estimates by Hugo Penedones et al
06-21-2019	Shaping Belief States with Generative Environment Models for RL by Karol Gregor et al
06-20-2019	Privacy, altruism, and experience: Estimating the perceived value of Internet data for medical uses by Gilie Gefen et al
06-19-2019	An Ontology-based Approach to Explaining Artificial Neural Networks by Roberto Confalonieri et al
06-21-2019	Disentangled Skill Embeddings for Reinforcement Learning by Janith C. Petangoda et al
06-18-2019	RadGrad: Active learning with loss gradients by Paul Budnarain et al
06-18-2019	Directed Exploration for Reinforcement Learning by Zhaohan Daniel Guo et al
06-21-2019	Continual Reinforcement Learning with Diversity Exploration and Adversarial Self-Correction by Fengda Zhu et al
06-21-2019	Explainable Fact Checking with Probabilistic Answer Set Programming by Naser Ahmadi et al
06-19-2019	Who is in Your Top Three? Optimizing Learning in Elections with Many Candidates by Nikhil Garg et al
06-20-2019	A Hierarchical Architecture for Sequential Decision-Making in Autonomous Driving using Deep Reinforcement Learning by Majid Moghadam et al
06-19-2019	Control What You Can: Intrinsically Motivated Task-Planning Agent by Sebastian Blaes et al
06-20-2019	Designing Game of Theorems by Yutaka Nagashima
06-20-2019	Learning Reward Functions by Integrating Human Demonstrations and Preferences by Malayandi Palan et al
06-20-2019	A Deep Reinforcement Learning Approach for Global Routing by Haiguang Liao et al
06-19-2019	Multi-Agent Pathfinding: Definitions, Variants, and Benchmarks by Roni Stern et al
06-19-2019	The Linked Open Data cloud is more abstract, flatter and less linked than you may think! by Luigi Asprino et al
06-18-2019	Learning to Plan Hierarchically from Curriculum by Philippe Morere et al
06-18-2019	Hill Climbing on Value Estimates for Search-control in Dyna by Yangchen Pan et al
06-20-2019	Near-optimal Reinforcement Learning using Bayesian Quantiles by Aristide Tossou et al
06-20-2019	Variable Impedance Control in End-Effector Space: An Action Space for Reinforcement Learning in Contact-Rich Tasks by Roberto Martín-Martín et al
06-18-2019	Declarative Learning-Based Programming as an Interface to AI Systems by Parisa Kordjamshidi et al
06-19-2019	When to Trust Your Model: Model-Based Policy Optimization by Michael Janner et al
06-20-2019	Cooperative Lane Changing via Deep Reinforcement Learning by Guan Wang et al
06-20-2019	Finding Needles in a Moving Haystack: Prioritizing Alerts with Adversarial Reinforcement Learning by Liang Tong et al
06-18-2019	Model Explanations under Calibration by Rishabh Jain et al
06-18-2019	Novelty Messages Filtering for Multi Agent Privacy-preserving Planning by Alfonso E. Gerevini et al
06-20-2019	Object Placement on Cluttered Surfaces: A Nested Local Search Approach by Abdul Rahman Dabbour et al
06-18-2019	Memetic EDA-Based Approaches to Comprehensive Quality-Aware Automated Semantic Web Service Composition by Chen Wang et al
06-18-2019	Towards White-box Benchmarks for Algorithm Control by André Biedenkapp et al
06-20-2019	Generic Ontology Design Patterns at Work by Bernd Krieg-Brückner et al
06-21-2019	Categorizing Wireheading in Partially Embedded Agents by Arushi Majha et al
06-18-2019	Subsumption-driven clause learning with DPLL+restarts by Olivier Bailleux
06-18-2019	A Framework for Parallelizing OWL Classification in Description Logic Reasoners by Zixi Quan et al
06-18-2019	Inferred successor maps for better transfer learning by Tamas J. Madarasz
06-20-2019	Customer Segmentation of Wireless Trajectory Data by Matthew R Karlsen et al
06-19-2019	Solving Multiagent Planning Problems with Concurrent Conditional Effects by Daniel Furelos-Blanco et al
06-21-2019	Hybrid Planning for Dynamic Multimodal Stochastic Shortest Paths by Shushman Choudhury et al
06-20-2019	Bayesian Modelling in Practice: Using Uncertainty to Improve Trustworthiness in Medical Applications by David Ruhe et al