2019.12.01 AI papers

11-27-2019	Actionable Interpretability through Optimizable Counterfactual Explanations for Tree Ensembles by Ana Lucic et al
11-26-2019	Improving Fictitious Play Reinforcement Learning with Expanding Models by Rong-Jun Qin et al
11-26-2019	Towards Universal Languages for Tractable Ontology Mediated Query Answering by Heng Zhang et al
11-27-2019	Towards Similarity Graphs Constructed by Deep Reinforcement Learning by Dmitry Baranchuk et al
11-27-2019	Fair DARTS: Eliminating Unfair Advantages in Differentiable Architecture Search by Xiangxiang Chu et al
11-27-2019	Algorithmic Improvements for Deep Reinforcement Learning applied to Interactive Fiction by Vishal Jain et al
11-28-2019	Simulation-based reinforcement learning for real-world autonomous driving by Błażej Osiński et al
11-26-2019	Comprehensive decision-strategy space exploration for efficient territorial planning strategies by Olivier Billaud et al
11-29-2019	Induction of Subgoal Automata for Reinforcement Learning by Daniel Furelos-Blanco et al
11-28-2019	Augmented Random Search for Quadcopter Control: An alternative to Reinforcement Learning by Ashutosh Kumar Tiwari et al
11-28-2019	Option-critic in cooperative multi-agent systems by Jhelum Chakravorty et al
11-26-2019	FCA2VEC: Embedding Techniques for Formal Concept Analysis by Dominik Dürrschnabel et al
11-29-2019	Procedural Content Generation: From Automatically Generating Game Levels to Increasing Generality in Machine Learning by Sebastian Risi et al
11-26-2019	Single Headed Attention RNN: Stop Thinking With Your Head by Stephen Merity
11-27-2019	Property Invariant Embedding for Automated Reasoning by Miroslav Olšák et al
11-27-2019	Learning Neural Search Policies for Classical Planning by Pawel Gomoluch et al
11-26-2019	Join Query Optimization with Deep Reinforcement Learning Algorithms by Jonas Heitz et al
11-26-2019	Feature-Rich Part-of-speech Tagging for Morphologically Complex Languages: Application to Bulgarian by Georgi Georgiev et al
11-26-2019	Biology and Compositionality: Empirical Considerations for Emergent-Communication Protocols by Travis LaCroix
11-27-2019	Large-Scale Noun Compound Interpretation Using Bootstrapping and the Web as a Corpus by Su Nam Kim et al
11-27-2019	Contrastive Learning of Structured World Models by Thomas Kipf et al
11-26-2019	Evaluating Commonsense in Pre-trained Language Models by Xuhui Zhou et al
11-26-2019	Logical Interpretations of Autoencoders by Anton Fuxjaeger et al
11-26-2019	PIQA: Reasoning about Physical Commonsense in Natural Language by Yonatan Bisk et al
11-27-2019	Reviewing and Improving the Gaussian Mechanism for Differential Privacy by Jun Zhao et al
11-27-2019	Following Social Groups: Socially Compliant Autonomous Navigation in Dense Crowds by Xinjie Yao et al
11-29-2019	An Iterative Polishing Framework based on Quality Aware Masked Language Model for Chinese Poetry Generation by Liming Deng et al
11-27-2019	Improving Model Robustness Using Causal Knowledge by Trent Kyono et al
11-29-2019	Class Teaching for Inverse Reinforcement Learners by Manuel Lopes et al
11-27-2019	Deep Reinforcement Learning based Adaptive Moving Target Defense by Taha Eghtesad et al
11-26-2019	Multi-Vehicle Mixed-Reality Reinforcement Learning for Autonomous Multi-Lane Driving by Rupert Mitchell et al
11-28-2019	Refining HTN Methods via Task Insertion with Preferences by Zhanhao Xiao et al
11-29-2019	Learning Domain-Independent Planning Heuristics with Hypergraph Networks by William Shen et al
11-26-2019	SemEval-2015 Task 3: Answer Selection in Community Question Answering by Preslav Nakov et al
11-28-2019	Playing Games in the Dark: An approach for cross-modality transfer in reinforcement learning by Rui Silva et al
11-27-2019	Bayesian Optimization for Categorical and Category-Specific Continuous Inputs by Dang Nguyen et al
11-26-2019	Transfer Learning in Visual and Relational Reasoning by T. S. Jayram et al
11-29-2019	Distributed Soft Actor-Critic with Multivariate Reward Representation and Knowledge Distillation by Dmitry Akimov
11-27-2019	Analysis of Explainers of Black Box Deep Neural Networks for Computer Vision: A Survey by Vanessa Buhrmester et al
11-27-2019	Stigmergic Independent Reinforcement Learning for Multi-Agent Collaboration by Xu Xing et al
11-26-2019	Control-Tutored Reinforcement Learning: an application to the Herding Problem by Francesco De Lellis et al
11-27-2019	Findings of the 2016 WMT Shared Task on Cross-lingual Pronoun Prediction by Liane Guillou et al
11-28-2019	Inducing Relational Knowledge from BERT by Zied Bouraoui et al
11-29-2019	DeepAlign: Alignment-based Process Anomaly Correction using Recurrent Neural Networks by Timo Nolle et al
11-28-2019	The Weighted Tsetlin Machine: Compressed Representations with Weighted Clauses by Adrian Phoulady et al
11-28-2019	Diversity-Aware Vehicle Motion Prediction via Latent Semantic Sampling by Xin Huang et al
11-26-2019	Behavior Regularized Offline Reinforcement Learning by Yifan Wu et al
11-28-2019	DiscoTK: Using Discourse Structure for Machine Translation Evaluation by Shafiq Joty et al
11-26-2019	TimeCaps: Capturing Time Series Data with Capsule Networks by Hirunima Jayasekara et al
11-27-2019	FT-SWRL: A Fuzzy-Temporal Extension of Semantic Web Rule Language by Abba Lawan et al
11-26-2019	Defending Against Adversarial Machine Learning by Alison Jenkins
11-29-2019	Abstract Argumentation and the Rational Man by Timotheus Kampik et al