2020.3.2 AI papers

02-25-2020	Simultaneously Evolving Deep Reinforcement Learning Models using Multifactorial Optimization by Aritz D. Martinez et al
02-25-2020	Problems with Shapley-value-based explanations as feature importance measures by I. Elizabeth Kumar et al
02-26-2020	Proceedings 8th International Workshop on Theorem Proving Components for Educational Software by Pedro Quaresma et al
02-25-2020	Topologically sensitive metaheuristics by Aleksandar Kartelj et al
02-25-2020	Cautious Reinforcement Learning with Logical Constraints by Mohammadhosein Hasanbeig et al
02-25-2020	TanksWorld: A Multi-Agent Environment for AI Safety Research by Corban G. Rivera et al
02-28-2020	Reinforcement Learning through Active Inference by Alexander Tschantz et al
02-28-2020	Towards a Geometry Automated Provers Competition by Nuno Baeta et al
02-26-2020	A Visual Communication Map for Multi-Agent Deep Reinforcement Learning by Ngoc Duy Nguyen et al
02-28-2020	Reinforcement Learning in FlipIt by Laura Greige et al
02-25-2020	Injecting Domain Knowledge in Neural Networks: a Controlled Experiment on a Constrained Problem by Mattia Silvestri et al
02-26-2020	The Emerging Landscape of Explainable AI Planning and Decision Making by Tathagata Chakraborti et al
02-27-2020	Learning Optimal Temperature Region for Solving Mixed Integer Functional DCOPs by Saaduddin Mahmud et al
02-26-2020	Knowledge Cores in Large Formal Contexts by Tom Hanika et al
02-26-2020	Optimistic Exploration even with a Pessimistic Initialisation by Tabish Rashid et al
02-26-2020	A neural network model of perception and reasoning by Paul J. Blazek et al
02-27-2020	Autonomous robotic nanofabrication with reinforcement learning by Philipp Leinen et al
02-26-2020	From Seeing to Moving: A Survey on Learning for Visual Indoor Navigation (VIN) by Xin Ye et al
02-27-2020	ConQUR: Mitigating Delusional Bias in Deep Q-learning by Andy Su et al
02-26-2020	When Do Drivers Concentrate? Attention-based Driver Behavior Modeling With Deep Reinforcement Learning by Xingbo Fu et al
02-26-2020	Policy Evaluation Networks by Jean Harb et al
02-25-2020	Network Representation Learning for Link Prediction: Are we improving upon simple heuristics? by Alexandru Mara et al
02-25-2020	DLSpec: A Deep Learning Task Exchange Specification by Abdul Dakkak et al
02-26-2020	Provable Meta-Learning of Linear Representations by Nilesh Tripuraneni et al
02-27-2020	On Catastrophic Interference in Atari 2600 Games by William Fedus et al
02-26-2020	Controllable Level Blending between Games using Variational Autoencoders by Anurag Sarkar et al
02-25-2020	Relaxed Scheduling for Scalable Belief Propagation by Vitaly Aksenov et al
02-27-2020	Annotation of Emotion Carriers in Personal Narratives by Aniruddha Tammewar et al
02-27-2020	Multi-tier Automated Planning for Adaptive Behavior (Extended Version) by Daniel Ciolek et al
02-27-2020	RIDE: Rewarding Impact-Driven Exploration for Procedurally-Generated Environments by Roberta Raileanu et al
02-25-2020	Algorithms for Optimizing Fleet Scheduling of Air Ambulances by Joseph Tassone et al
02-26-2020	Modelisation de lincertitude et de limprecision de donnees de crowdsourcing : MONITOR by Constance Thierry et al
02-26-2020	Type-2 Fuzzy Set based Hesitant Fuzzy Linguistic Term Sets for Linguistic Decision Making by Taniya Seth et al
02-26-2020	Gamma-Reward: A Novel Multi-Agent Reinforcement Learning Method for Traffic Signal Control by Junjia Liu et al
02-27-2020	Bringing freedom in variable choice when searching counter-examples in floating point programs by Heytem Zitoun et al
02-27-2020	An efficient constraint based framework forhandling floating point SMT problems by Heytem Zitoun et al
02-27-2020	Hallucinative Topological Memory for Zero-Shot Visual Planning by Kara Liu et al
02-25-2020	Counterfactual fairness: removing direct effects through regularization by Pietro G. Di Stefano et al
02-27-2020	C-CoCoA: A Continuous Cooperative Constraint Approximation Algorithm to Solve Functional DCOPs by Amit Sarker et al
02-27-2020	Cautious Reinforcement Learning via Distributional Risk in the Dual Domain by Junyu Zhang et al
02-27-2020	Testing Monotonicity of Machine Learning Models by Arnab Sharma et al
02-27-2020	Efficiently Guiding Imitation Learning Algorithms with Human Gaze by Akanksha Saran et al
02-25-2020	Rewriting History with Inverse RL: Hindsight Inference for Policy Improvement by Benjamin Eysenbach et al
02-26-2020	Efficient reinforcement learning control for continuum robots based on Inexplicit Prior Knowledge by Junjia Liu et al
02-26-2020	Review, Analyze, and Design a Comprehensive Deep Reinforcement Learning Framework by Ngoc Duy Nguyen et al
02-28-2020	Automating the Generation of High School Geometry Proofs using Prolog in an Educational Context by Ludovic Font et al
02-26-2020	Generalized Hindsight for Reinforcement Learning by Alexander C. Li et al
02-27-2020	Do ML Experts Discuss Explainability for AI Systems? A discussion case in the industry for a domain-specific solution by Juliana Jansen Ferreira et al
02-27-2020	Sub-Goal Trees -- a Framework for Goal-Based Reinforcement Learning by Tom Jurgenson et al
02-26-2020	Improving the Performance of Stochastic Local Search for Maximum Vertex Weight Clique Problem Using Programming by Optimization by Yi Chu et al
02-26-2020	Wavelet-based Temporal Forecasting Models of Human Activities for Anomaly Detection by Manuel Fernandez-Carmona et al
02-25-2020	FairRec: Two-Sided Fairness for Personalized Recommendations in Two-Sided Platforms by Gourab K. Patro et al
02-25-2020	Forming Diverse Teams from Sequentially Arriving People by Faez Ahmed et al
02-25-2020	Turning 30: New Ideas in Inductive Logic Programming by Andrew Cropper et al
02-25-2020	Language-Independent Tokenisation Rivals Language-Specific Tokenisation for Word Similarity Prediction by Danushka Bollegala et al
02-27-2020	Reinforcement Learning of Risk-Constrained Policies in Markov Decision Processes by Tomas Brazdil et al
02-27-2020	Piecewise linear regressions for approximating distance metrics by Josiah Putman et al
02-25-2020	Teaching the Old Dog New Tricks: Supervised Learning with Constraints by Fabrizio Detassis et al
02-27-2020	Opportunities of a Machine Learning-based Decision Support System for Stroke Rehabilitation Assessment by Min Hun Lee et al