sequential decision

Maximum Entropy Monte-Carlo Planning NeurIPS 2019 Model-Free Model Reconciliation IJCAI 2019 Online Pandora’s Boxes and Bandits AAAI 2019 Optimal Testing in the Experiment-rich Regime AISTATS 2019 Posterior-regularized REINFORCE for Instance Selection in Distant Supervision NAACL 2019 Read, Watch, and Move: Reinforcement Learning for Temporally Grounding Natural Language Descriptions in Videos AAAI 2019 Rethinking the Discount Factor in Reinforcement Learning: A Decision Theoretic Approach AAAI 2019 Adaptive Learning with Unknown Information Flows NeurIPS 2018 A Weakly Supervised Method for Topic Segmentation and Labeling in Goal-oriented Dialogues via Reinforcement Learning IJCAI 2018 Cost-aware Cascading Bandits IJCAI 2018 Deep Reinforcement Learning for Chinese Zero Pronoun Resolution ACL 2018 Jumper: Learning When to Make Classification Decision in Reading IJCAI 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 Tractable (Simple) Contests IJCAI 2018 Adaptive Elicitation of Preferences under Uncertainty in Sequential Decision Making Problems IJCAI 2017 Instance Specific Discriminative Modal Pursuit: A Serialized Approach ACML 2017 Interactive Submodular Bandit NeurIPS 2017 Minimal Exploration in Structured Stochastic Bandits NeurIPS 2017 Safety-Aware Algorithms for Adversarial Contextual Bandit ICML 2017 Adaptive Concentration Inequalities for Sequential Decision Problems NeurIPS 2016 Balancing Suspense and Surprise: Timely Decision Making with Endogenous Information Acquisition NeurIPS 2016 Learning Simple Algorithms from Examples ICML 2016 Multi-armed Bandits: Competing with Optimal Sequences NeurIPS 2016