sequential decision making

Scalable Thompson Sampling via Optimal Transport AISTATS 2019 Sequential Experimental Design for Transductive Linear Bandits NeurIPS 2019 Sequential Patient Recruitment and Allocation for Adaptive Clinical Trials AISTATS 2019 Soft Q-Learning with Mutual-Information Regularization ICLR 2019 Teaching Machines to Extract Main Content for Machine Reading Comprehension AAAI 2019 Thompson Sampling on Symmetric Alpha-Stable Bandits IJCAI 2019 Variational Information Planning for Sequential Decision Making AISTATS 2019 A2-RL: Aesthetics Aware Reinforcement Learning for Image Cropping CVPR 2018 Deep Bayesian Bandits Showdown: An Empirical Comparison of Bayesian Deep Networks for Thompson Sampling ICLR 2018 Deep Reinforcement Learning for Chinese Zero Pronoun Resolution ACL 2018 Distort-and-Recover: Color Enhancement Using Deep Reinforcement Learning CVPR 2018 Efficient nonmyopic batch active search NeurIPS 2018 Enhancing the Accuracy and Fairness of Human Decision Making NeurIPS 2018 Hierarchical Imitation and Reinforcement Learning ICML 2018 Learning Structural Weight Uncertainty for Sequential Decision-Making AISTATS 2018 Loss Functions for Multiset Prediction NeurIPS 2018 Multi-Shot Pedestrian Re-Identification via Sequential Decision Making CVPR 2018 Negotiable Reinforcement Learning for Pareto Optimal Sequential Decision-Making NeurIPS 2018 Nonstochastic Bandits with Composite Anonymous Feedback COLT 2018 Preventing Disparate Treatment in Sequential Decision Making IJCAI 2018 Regret Bounds for Online Portfolio Selection with a Cardinality Constraint NeurIPS 2018 Safe Active Learning for Time-Series Modeling with Gaussian Processes NeurIPS 2018 Stagewise Safe Bayesian Optimization with Gaussian Processes ICML 2018 Structural Causal Bandits: Where to Intervene? NeurIPS 2018 Active Learning for Accurate Estimation of Linear Models ICML 2017