2020.04.27 AI papers

04-22-2020	Chip Placement with Deep Reinforcement Learning by Azalia Mirhoseini et al
04-21-2020	Experience Grounds Language by Yonatan Bisk et al
04-23-2020	Model-Based Meta-Reinforcement Learning for Flight with Suspended Payloads by Suneel Belkhale et al
04-23-2020	Rapidly Bootstrapping a Question Answering Dataset for COVID-19 by Raphael Tang et al
04-23-2020	Visual Question Answering Using Semantic Information from Image Descriptions by Tasmia Tasrin et al
04-23-2020	Proceedings of the ICLR Workshop on Computer Vision for Agriculture (CV4A) 2020 by Yannis Kalantidis et al
04-21-2020	COVID-19 and Company Knowledge Graphs: Assessing Golden Powers and Economic Impact of Selective Lockdown via AI Reasoning by Luigi Bellomarini et al
04-22-2020	Constructing Geographic and Long-term Temporal Graph for Traffic Forecasting by Yiwen Sun et al
04-22-2020	Per-Step Reward: A New Perspective for Risk-Averse Reinforcement Learning by Shangtong Zhang et al
04-21-2020	The Imandra Automated Reasoning System (system description) by Grant Olney Passmore et al
04-22-2020	Cooperative Perception with Deep Reinforcement Learning for Connected Vehicles by Shunsuke Aoki et al
04-23-2020	Human-Machine Collaboration for Democratizing Data Science by Clément Gautrais et al
04-22-2020	Human and Machine Action Prediction Independent of Object Information by Fatemeh Ziaeetabar et al
04-21-2020	Knowledge-Driven Distractor Generation for Cloze-style Multiple Choice Questions by Siyu Ren et al
04-22-2020	Logical Natural Language Generation from Open-Domain Tables by Wenhu Chen et al
04-22-2020	Cpp-Taskflow: A General-purpose Parallel and Heterogeneous Task Programming System at Scale by Tsung-Wei Huang et al
04-22-2020	Policy Gradient from Demonstration and Curiosity by Jie Chen et al
04-22-2020	AmbigQA: Answering Ambiguous Open-domain Questions by Sewon Min et al
04-21-2020	Knowledge Graph Embedding with Linear Representation for Link Prediction by Yanhui Peng et al
04-21-2020	Hierarchically Fair Federated Learning by Jingfeng Zhang et al
04-22-2020	Tension Space Analysis for Emergent Narrative by Ben Kybartas et al
04-23-2020	A Complete Characterization of Projectivity for Statistical Relational Models by Manfred Jaeger et al
04-21-2020	Learning large logic programs by going beyond entailment by Andrew Cropper et al
04-21-2020	SIBRE: Self Improvement Based REwards for Reinforcement Learning by Somjit Nath et al
04-22-2020	AutoEG: Automated Experience Grafting for Off-Policy Deep Reinforcement Learning by Keting Lu et al
04-22-2020	Efficient adjustment sets in causal graphical models with hidden variables by Ezequiel Smucler et al
04-21-2020	ParkPredict: Motion and Intent Prediction of Vehicles in Parking Lots by Xu Shen et al
04-22-2020	Tactical Decision-Making in Autonomous Driving by Reinforcement Learning with Uncertainty Estimation by Carl-Johan Hoel et al
04-21-2020	Knowledge Refactoring for Program Induction by Sebastijan Dumancic et al
04-22-2020	Flexible and Efficient Long-Range Planning Through Curious Exploration by Aidan Curtis et al
04-21-2020	Simple Dataset for Proof Method Recommendation in Isabelle/HOL (Dataset Description) by Yutaka Nagashima
04-21-2020	Algorithms for slate bandits with non-separable reward functions by Jason Rhuggenaath et al
04-21-2020	Structured Mechanical Models for Robot Learning and Control by Jayesh K. Gupta et al
04-23-2020	Improving the Decision-Making Process of Self-Adaptive Systems by Accounting for Tactic Volatility by Jeffrey Palmerino et al
04-21-2020	Characterizing Boundedness in Chase Variants by Stathis Delivorias et al
04-22-2020	Discovering Imperfectly Observable Adversarial Actions using Anomaly Detection by Olga Petrova et al
04-21-2020	pomdp_py: A Framework to Build and Solve POMDP Problems by Kaiyu Zheng et al
04-23-2020	Constructing Complexity-efficient Features in XCS with Tree-based Rule Conditions by Trung B. Nguyen et al
04-22-2020	Differential evolution outside the box by Anna V. Kononova et al