2019.10.14 AI papers

10-10-2019	Hierarchical Reinforcement Learning with Advantage-Based Auxiliary Rewards by Siyuan Li et al
10-11-2019	Fairness in Clustering with Multiple Sensitive Attributes by Savitha Sam Abraham et al
10-10-2019	AI for Explaining Decisions in Multi-Agent Environments by Amos Azaria et al
10-10-2019	Imitation Learning from Observations by Minimizing Inverse Dynamics Disagreement by Chao Yang et al
10-09-2019	Integrating Behavior Cloning and Reinforcement Learning for Improved Performance in Sparse Reward Environments by Vinicius G. Goecks et al
10-10-2019	Reflections on Incremental Cardinality Constraints for MaxSAT by Ruben Martins et al
10-10-2019	The Quest for Interpretable and Responsible Artificial Intelligence by Vaishak Belle
10-08-2019	Executing Instructions in Situated Collaborative Interactions by Alane Suhr et al
10-08-2019	Investigation on the generalization of the Sampled Policy Gradient algorithm by Nil Stolt Ansó
10-08-2019	Model-based Reinforcement Learning for Predictions and Control for Limit Order Books by Haoran Wei et al
10-09-2019	Automated Multidisciplinary Design and Control of Hopping Robots for Exploration of Extreme Environments on the Moon and Mars by Himangshu Kalita et al
10-08-2019	Find or Classify? Dual Strategy for Slot-Value Predictions on Multi-Domain Dialog State Tracking by Jian-Guo Zhang et al
10-09-2019	Policy Optimization Through Approximated Importance Sampling by Marcin B. Tomczak et al
10-10-2019	Assistive Gym: A Physics Simulation Framework for Assistive Robotics by Zackory Erickson et al
10-08-2019	Multiple-objective Reinforcement Learning for Inverse Design and Identification by Haoran Wei et al
10-10-2019	Causality and deceit: Do androids watch action movies? by Dusko Pavlovic et al
10-11-2019	Prediction-based Resource Allocation using Bayesian Neural Networks and Minimum Cost and Maximum Flow Algorithm by Gyunam Park et al
10-11-2019	BiPaR: A Bilingual Parallel Dataset for Multilingual and Cross-lingual Reading Comprehension on Novels by Yimin Jing et al
10-09-2019	Fast Task-Adaptation for Tasks Labeled Using Natural Language in Reinforcement Learning by Matthias Hutsebaut-Buysse et al
10-10-2019	Asking Easy Questions: A User-Friendly Approach to Active Reward Learning by Erdem Bıyık et al
10-08-2019	Multi-Modal Simultaneous Forecasting of Vehicle Position Sequences using Social Attention by Jean Mercat et al
10-09-2019	Whos responsible? Jointly quantifying the contribution of the learning algorithm and training data by Gal Yona et al
10-09-2019	Model-Based Reinforcement Learning Exploiting State-Action Equivalence by Mahsa Asadi et al
10-09-2019	Compatible features for Monotonic Policy Improvement by Marcin B. Tomczak et al
10-09-2019	Imagined Value Gradients: Model-Based Policy Optimization with Transferable Latent Dynamics Models by Arunkumar Byravan et al
10-10-2019	Strategic Coalitions in Stochastic Games by Pavel Naumov et al
10-08-2019	Alternating Recurrent Dialog Model with Large-scale Pre-trained Language Models by Qingyang Wu et al
10-08-2019	TraffickCam: Explainable Image Matching For Sex Trafficking Investigations by Abby Stylianou et al
10-10-2019	Autonomous Driving using Safe Reinforcement Learning by Incorporating a Regret-based Human Lane-Changing Decision Model by Dong Chen et al
10-11-2019	Generalized Planning With Procedural Domain Control Knowledge by Javier Segovia-Aguas et al
10-10-2019	Modeling Conceptual Understanding in Image Reference Games by Rodolfo Corona et al
10-11-2019	Green Deep Reinforcement Learning for Radio Resource Management: Architecture, Algorithm Compression and Challenge by Zhiyong Du et al
10-09-2019	Large Scale Global Optimization by Hybrid Evolutionary Computation by Gutha Jaya Krishna et al
10-10-2019	RLCard: A Toolkit for Reinforcement Learning in Card Games by Daochen Zha et al
10-09-2019	Improving Generalization in Meta Reinforcement Learning using Learned Objectives by Louis Kirsch et al
10-08-2019	Can We Distinguish Machine Learning from Human Learning? by Vicki Bier et al
10-09-2019	On the Possibility of Rewarding Structure Learning Agents: Mutual Information on Linguistic Random Sets by Ignacio Arroyo-Fernández et al
10-09-2019	Learning High-order Structural and Attribute information by Knowledge Graph Attention Networks for Enhancing Knowledge Graph Embedding by Wenqiang Liu et al
10-08-2019	Designing Trustworthy AI: A Human-Machine Teaming Framework to Guide Development by Carol J. Smith
10-08-2019	Conceptualize and Infer User Needs in E-commerce by Xusheng Luo et al
10-10-2019	Dialog on a canvas with a machine by Vivien Cabannes et al
10-10-2019	Efficient Intrinsically Motivated Robotic Grasping with Learning-Adaptive Imagination in Latent Space by Muhammad Burhan Hafez et al
10-11-2019	The Emergence of Compositional Languages for Numeric Concepts Through Iterated Learning in Neural Agents by Shangmin Guo et al
10-10-2019	Contract Statements Knowledge Service for Chatbots by Boris Ruf et al
10-11-2019	Relation learning in a neurocomputational architecture supports cross-domain transfer by Leonidas A. A. Doumas et al
10-10-2019	Language Transfer for Early Warning of Epidemics from Social Media by Mattias Appelgren et al
10-09-2019	Semantic Understanding of Foggy Scenes with Purely Synthetic Data by Martin Hahner et al
10-09-2019	Toward a Computational Theory of Evidence-Based Reasoning for Instructable Cognitive Agents by Gheorghe Tecuci et al
10-08-2019	Toward Synergic Learning for Autonomous Manipulation of Deformable Tissues via Surgical Robots: An Approximate Q-Learning Approach by Sahba Aghajani Pedram et al