02.03.19 Artificial Intelligence papers

01-31-2019	Contrasting Exploration in Parameter and Action Space: A Zeroth-Order Optimization Perspective by Anirudh Vemula et al
01-31-2019	The Second Conversational Intelligence Challenge (ConvAI2) by Emily Dinan et al
01-29-2019	Constraint Satisfaction Propagation: Non-stationary Policy Synthesis for Temporal Logic Planning by Thomas J. Ringstrom et al
01-31-2019	An Optimization Framework for Task Sequencing in Curriculum Learning by Francesco Foglino et al
01-30-2019	Learning Position Evaluation Functions Used in Monte Carlo Softmax Search by Harukazu Igarashi et al
02-01-2019	The Hanabi Challenge: A New Frontier for AI Research by Nolan Bard et al
01-29-2019	Automated Analysis, Reporting, and Archiving for Robotic Nondestructive Assay of Holdup Deposits by Heather Jones et al
01-30-2019	Deep Archetypal Analysis by Sebastian Mathias Keller et al
01-30-2019	Noise-tolerant fair classification by Alexandre Louis Lamy et al
01-31-2019	Learning Efficient Lexically-Constrained Neural Machine Translation with External Memory by Ya Li et al
01-29-2019	Optimising Clifford Circuits with Quantomatic by Andrew Fagan et al
01-29-2019	Private Q-Learning with Functional Noise in Continuous Spaces by Baoxiang Wang et al
01-30-2019	Unsupervised Prediction of Negative Health Events Ahead of Time by Anahita Hosseini et al
01-31-2019	ProBO: a Framework for Using Probabilistic Programming in Bayesian Optimization by Willie Neiswanger et al
01-30-2019	Automated Skin Lesion Classification Using Ensemble of Deep Neural Networks in ISIC 2018: Skin Lesion Analysis Towards Melanoma Detection Challenge by Md Ashraful Alam Milton
01-30-2019	Transfer in Deep Reinforcement Learning Using Successor Features and Generalised Policy Improvement by André Barreto et al
01-30-2019	Bootstrapping Robotic Ecological Perception from a Limited Set of Hypotheses Through Interactive Perception by Léni K. Le Goff et al
01-31-2019	Towards Controlled Transformation of Sentiment in Sentences by Wouter Leeftink et al
01-31-2019	Exploring the context of recurrent neural network based conversational agents by Raffaele Piccini et al
02-01-2019	Causal Simulations for Uplift Modeling by Jeroen Berrevoets et al
02-01-2019	Intelligent architectures for robotics: The merging of cognition and emotion by Luiz Pessoa
01-31-2019	Gaussian Conditional Random Fields for Classification by Andrija Petrović et al
01-31-2019	Your Gameplay Says it All: Modelling Motivation in Tom Clancys The Division by David Melhart et al
01-29-2019	Adversarial Adaptation of Scene Graph Models for Understanding Civic Issues by Shanu Kumar et al
01-30-2019	Human-Centered Artificial Intelligence and Machine Learning by Mark O. Riedl
01-29-2019	Real-time Hand Gesture Detection and Classification Using Convolutional Neural Networks by Okan Köpüklü et al
01-31-2019	Shaping the Narrative Arc: An Information-Theoretic Approach to Collaborative Dialogue by Kory W. Mathewson et al
01-31-2019	Visual Hindsight Experience Replay by Himanshu Sahni et al
01-31-2019	The Value Function Polytope in Reinforcement Learning by Robert Dadashi et al
01-31-2019	Successor Features Support Model-based and Model-free Reinforcement Learning by Lucas Lehnert et al
01-30-2019	Online Pandoras Boxes and Bandits by Hossein Esfandiari et al
01-31-2019	A Geometric Perspective on Optimal Representations for Reinforcement Learning by Marc G. Bellemare et al
01-30-2019	Go-Explore: a New Approach for Hard-Exploration Problems by Adrien Ecoffet et al
01-29-2019	Asynchronous Batch Bayesian Optimisation with Improved Local Penalisation by Ahsan S. Alvi et al
01-31-2019	Dating Documents using Graph Convolution Networks by Shikhar Vashishth et al
01-29-2019	Trust Region-Guided Proximal Policy Optimization by Yuhui Wang et al
01-31-2019	Unsupervised Text Style Transfer via Iterative Matching and Translation by Zhijing Jin et al
01-29-2019	Evaluating Bregman Divergences for Probability Learning from Crowd by F. A. Mena et al
01-30-2019	Compositionality for Recursive Neural Networks by Martha Lewis
01-29-2019	Stochastic Conditional Gradient Method for Composite Convex Minimization by Francesco Locatello et al
01-31-2019	Training Artificial Neural Networks by Generalized Likelihood Ratio Method: Exploring Brain-like Learning to Improve Adversarial Defensiveness by Li Xiao et al
01-30-2019	Benchmarking Classic and Learned Navigation in Complex 3D Environments by Dmytro Mishkin et al
01-29-2019	Safe, Efficient, and Comfortable Velocity Control based on Reinforcement Learning for Autonomous Driving by Meixin Zhu et al
01-31-2019	Learning to Make Analogies by Contrasting Abstract Relational Structure by Felix Hill et al
01-29-2019	TiFi: Taxonomy Induction for Fictional Domains [Extended version] by Cuong Xuan Chu et al
01-29-2019	A Robot for Nondestructive Assay of Holdup Deposits in Gaseous Diffusion Piping by Heather Jones et al
01-31-2019	Network Parameter Learning Using Nonlinear Transforms, Local Representation Goals and Local Propagation Constraints by Dimche Kostadinov et al
01-31-2019	Query Inseparability for ALC Ontologies by Elena Botoeva et al
01-29-2019	Discretizing Continuous Action Space for On-Policy Optimization by Yunhao Tang et al
01-31-2019	Funnelling: A New Ensemble Method for Heterogeneous Transfer Learning and its Application to Polylingual Text Classification by Andrea Esuli et al
01-31-2019	Lift-the-Flap: Context Reasoning Using Object-Centered Graphs by Mengmi Zhang et al
01-29-2019	Glyce: Glyph-vectors for Chinese Character Representations by Wei Wu et al
01-31-2019	Tsallis Reinforcement Learning: A Unified Framework for Maximum Entropy Reinforcement Learning by Kyungjae Lee et al
01-29-2019	Federated Collaborative Filtering for Privacy-Preserving Personalized Recommendation System by Muhammad Ammad-ud-din et al
02-01-2019	TF-Replicator: Distributed Machine Learning for Researchers by Peter Buchlovsky et al