2019.08.18 AI papers

08-13-2019	Reward Tampering Problems and Solutions in Reinforcement Learning: A Causal Influence Diagram Perspective by Tom Everitt et al
08-12-2019	Superstition in the Network: Deep Reinforcement Learning Plays Deceptive Games by Philip Bontrager et al
08-13-2019	Multi-Agent Manipulation via Locomotion using Hierarchical Sim2Real by Ofir Nachum et al
08-13-2019	Is Deep Reinforcement Learning Really Superhuman on Atari? by Marin Toromanoff et al
08-15-2019	Multi-class Hierarchical Question Classification for Multiple Choice Science Exams by Dongfang Xu et al
08-13-2019	Reasoning-Driven Question-Answering for Natural Language Understanding by Daniel Khashabi
08-15-2019	A Multivariate Model for Representing Semantic Non-compositionality by Meghdad Farahmand
08-13-2019	Reinforcement Learning based Interconnection Routing for Adaptive Traffic Optimization by Sheng-Chun Kao et al
08-14-2019	Evaluating Empathy in Artificial Agents by Özge Nilay Yalçın
08-14-2019	VideoNavQA: Bridging the Gap between Visual and Embodied Question Answering by Cătălina Cangea et al
08-13-2019	Icebreaker: Element-wise Active Information Acquisition with Bayesian Deep Latent Gaussian Model by Wenbo Gong et al
08-14-2019	Towards Explainable AI Planning as a Service by Michael Cashmore et al
08-13-2019	Competitive Multi-Agent Deep Reinforcement Learning with Counterfactual Thinking by Yue Wang et al
08-13-2019	Local Score Dependent Model Explanation for Time Dependent Covariates by Xochitl Watts et al
08-13-2019	From Crystallized Adaptivity to Fluid Adaptivity in Deep Reinforcement Learning -- Insights from Biological Systems on Adaptive Flexibility by Malte Schilling et al
08-13-2019	HyperKG: Hyperbolic Knowledge Graph Embeddings for Knowledge Base Completion by Prodromos Kolyvakis et al
08-14-2019	FlowDelta: Modeling Flow Information Gain in Reasoning for Conversational Machine Comprehension by Yi-Ting Yeh et al
08-15-2019	PHYRE: A New Benchmark for Physical Reasoning by Anton Bakhtin et al
08-12-2019	SHREWD: Semantic Hierarchy-based Relational Embeddings for Weakly-supervised Deep Hashing by Heikki Arponen et al
08-14-2019	Mastering emergent language: learning to guide in simulated navigation by Mathijs Mul et al
08-14-2019	Continuous Control for High-Dimensional State Spaces: An Interactive Learning Approach by Rodrigo Pérez-Dattari et al
08-15-2019	Conditional LSTM-GAN for Melody Generation from Lyrics by Yi Yu et al
08-13-2019	Getting To Know You: User Attribute Extraction from Dialogues by Chien-Sheng Wu et al
08-12-2019	On Defending Against Label Flipping Attacks on Malware Detection Systems by Rahim Taheri et al
08-12-2019	Efficient Contraction of Large Tensor Networks for Weighted Model Counting through Graph Decompositions by Jeffrey M. Dudek et al
08-14-2019	Unsupervised Behavior Change Detection in Multidimensional Data Streams for Maritime Traffic Monitoring by Lucas May Petry et al
08-13-2019	Fine-grained Information Status Classification Using Discourse Context-Aware Self-Attention by Yufang Hou
08-13-2019	Semi-Supervised Learning using Differentiable Reasoning by Emile van Krieken et al
08-13-2019	Learn How to Cook a New Recipe in a New House: Using Map Familiarization, Curriculum Learning, and Common Sense to Learn Families of Text-Based Adventure Games by Xusen Yin et al
08-12-2019	Multi-view Clustering with the Cooperation of Visible and Hidden Views by Zhaohong Deng et al
08-13-2019	Evaluation of a Recommender System for Assisting Novice Game Designers by Tiago Machado et al
08-15-2019	Playing a Strategy Game with Knowledge-Based Reinforcement Learning by Viktor Voss et al
08-15-2019	Tracing Player Knowledge in a Parallel Programming Educational Game by Pavan Kantharaju et al
08-12-2019	Multi-View Fuzzy Clustering with The Alternative Learning between Shared Hidden Space and Partition by Zhaohong Deng et al
08-13-2019	Inverse Rational Control with Partially Observable Continuous Nonlinear Dynamics by Saurabh Daptardar et al
08-13-2019	Generative Question Refinement with Deep Reinforcement Learning in Retrieval-based QA System by Ye Liu et al
08-12-2019	Decision making in dynamic and interactive environments based on cognitive hierarchy theory: Formulation, solution, and application to autonomous driving by Sisi Li et al