2019.03.17 Artificial Intelligence papers

03-14-2019	Can Robot Attract Passersby without Causing Discomfort by User-Centered Reinforcement Learning? by Yasunori Ozaki et al
03-12-2019	On the Pitfalls of Measuring Emergent Communication by Ryan Lowe et al
03-13-2019	VRKitchen: an Interactive 3D Virtual Environment for Task-oriented Learning by Xiaofeng Gao et al
03-13-2019	Aesthetics of Neural Network Art by Aaron Hertzmann
03-14-2019	Deep Reinforcement Learning with Feedback-based Exploration by Jan Scholten et al
03-12-2019	Communication-efficient distributed SGD with Sketching by Nikita Ivkin et al
03-12-2019	Universally Slimmable Networks and Improved Training Techniques by Jiahui Yu et al
03-14-2019	Reinforcement Learning with Dynamic Boltzmann Softmax Updates by Ling Pan et al
03-14-2019	Inferring Personalized Bayesian Embeddings for Learning from Heterogeneous Demonstration by Rohan Paleja et al
03-12-2019	Theory III: Dynamics and Generalization in Deep Networks by Andrzej Banburski et al
03-13-2019	Adversarial attacks against Fact Extraction and VERification by James Thorne et al
03-12-2019	Richness of Deep Echo State Network Dynamics by Claudio Gallicchio et al
03-12-2019	Unsupervised Discovery of Parts, Structure, and Dynamics by Zhenjia Xu et al
03-12-2019	Interaction Embeddings for Prediction and Explanation in Knowledge Graphs by Wen Zhang et al
03-12-2019	Augment-Reinforce-Merge Policy Gradient for Binary Stochastic Policy by Yunhao Tang et al
03-12-2019	A Sequential Set Generation Method for Predicting Set-Valued Outputs by Tian Gao et al
03-12-2019	Deep Multi-Agent Reinforcement Learning with Discrete-Continuous Hybrid Action Spaces by Haotian Fu et al
03-15-2019	Policy Distillation and Value Matching in Multiagent Reinforcement Learning by Samir Wadhwania et al
03-13-2019	Improving Transparency of Deep Neural Inference Process by Hiroshi Kuwajima et al
03-12-2019	DREAM-NAP: Decay Replay Mining to Predict Next Process Activities by Julian Theis et al
03-14-2019	Contextual Markov Decision Processes using Generalized Linear Models by Aditya Modi et al
03-13-2019	Simulating Emergent Properties of Human Driving Behavior Using Multi-Agent Reward Augmented Imitation Learning by Raunak P. Bhattacharyya et al
03-13-2019	MMKG: Multi-Modal Knowledge Graphs by Ye Liu et al
03-13-2019	Online Budgeted Learning for Classifier Induction by Eran Fainman et al
03-13-2019	Efficient Search-Based Weighted Model Integration by Zhe Zeng et al
03-14-2019	gym-gazebo2, a toolkit for reinforcement learning using ROS 2 and Gazebo by Nestor Gonzalez Lopez et al
03-15-2019	Tuning Hyperparameters without Grad Students: Scalable and Robust Bayesian Optimisation with Dragonfly by Kirthevasan Kandasamy et al
03-13-2019	Computing Approximate Equilibria in Sequential Adversarial Games by Exploitability Descent by Edward Lockhart et al
03-14-2019	ROS2Learn: a reinforcement learning framework for ROS 2 by Yue Leire Erro Nuin et al
03-14-2019	Theories of Parenting and their Application to Artificial Intelligence by Sky Croeser et al
03-13-2019	A Multi-armed Bandit MCMC, with applications in sampling from doubly intractable posterior by Wang Guanyang
03-13-2019	Natural Language Interaction with Explainable AI Models by Arjun R Akula et al
03-14-2019	Incremental Learning of Discrete Planning Domains from Continuous Perceptions by Luciano Serafini et al
03-13-2019	Computing the Scope of Applicability for Acquired Task Knowledge in Experience-Based Planning Domains by Vahid Mokhtari et al
03-15-2019	Applying Probabilistic Programming to Affective Computing by Desmond C. Ong et al
03-12-2019	Probabilistic Temporal Logic over Finite Traces (Technical Report) by Fabrizio M. Maggi et al
03-14-2019	Adaptive Variance for Changing Sparse-Reward Environments by Xingyu Lin et al
03-12-2019	Iterated two-phase local search for the Set-Union Knapsack Problem by Zequn Wei et al
03-13-2019	Hypothesis-based Belief Planning for Dexterous Grasping by Claudio Zito et al
03-15-2019	Online Explanation Generation for Human-Robot Teaming by Mehrdad Zakershahrak et al
03-14-2019	Toward Imitating Visual Attention of Experts in Software Development Tasks by Yoshiharu Ikutani et al