Reinforcement Learning

Learning Safe Policies with Expert Guidance NeurIPS 2018 Learning Structural Weight Uncertainty for Sequential Decision-Making AISTATS 2018 Learning to Collaborate for Question Answering and Asking NAACL 2018 Learning to Infer Final Plans in Human Team Planning IJCAI 2018 Learning under Misspecified Objective Spaces CoRL 2018 Learning What Information to Give in Partially Observed Domains CoRL 2018 Least-Squares Temporal Difference Learning for the Linear Quadratic Regulator ICML 2018 Logician and Orator: Learning from the Duality between Language and Knowledge in Open Domain EMNLP 2018 Master-Slave Curriculum Design for Reinforcement Learning IJCAI 2018 Model-free, Model-based, and General Intelligence IJCAI 2018 Monte-Carlo Tree Search for Constrained POMDPs NeurIPS 2018 Multi-Hop Knowledge Graph Reasoning with Reward Shaping EMNLP 2018 Multi-Level Policy and Reward Reinforcement Learning for Image Captioning IJCAI 2018 Multi-modality Sensor Data Classification with Selective Attention IJCAI 2018 Multinomial Logit Bandit with Linear Utility Functions IJCAI 2018 Multi-objective Model-based Policy Search for Data-efficient Learning with Sparse Rewards CoRL 2018 Multiple-Step Greedy Policies in Approximate and Online Reinforcement Learning NeurIPS 2018 Multi-Shot Pedestrian Re-Identification via Sequential Decision Making CVPR 2018 Multi-source synthetic treebank creation for improved cross-lingual dependency parsing EMNLP 2018 Near Optimal Exploration-Exploitation in Non-Communicating Markov Decision Processes NeurIPS 2018 Near-Optimal Policies for Dynamic Multinomial Logit Assortment Selection Models NeurIPS 2018 Near-Optimal Time and Sample Complexities for Solving Markov Decision Processes with a Generative Model NeurIPS 2018 Non-delusional Q-learning and value-iteration NeurIPS 2018 Object Ordering with Bidirectional Matchings for Visual Reasoning NAACL 2018 Occam's razor is insufficient to infer the preferences of irrational agents NeurIPS 2018