reinforcement learning

Latent Structure Models for Natural Language Processing ACL 2019 Learning Action Representations for Reinforcement Learning ICML 2019 Learning a Meta-Solver for Syntax-Guided Program Synthesis ICLR 2019 Learning Channel-Wise Interactions for Binary Convolutional Neural Networks CVPR 2019 Learning Compositional Neural Programs with Recursive Tree Search and Planning NeurIPS 2019 Learning Context-dependent Label Permutations for Multi-label Classification ICML 2019 Learning Data Manipulation for Augmentation and Weighting NeurIPS 2019 Learning Dynamic Context Augmentation for Global Entity Linking EMNLP 2019 Learning Factored Markov Decision Processes with Unawareness UAI 2019 Learning from Trajectories via Subgoal Discovery NeurIPS 2019 Learning Generalizable Device Placement Algorithms for Distributed Machine Learning NeurIPS 2019 Learning Interpretable Negation Rules via Weak Supervision at Document Level: A Reinforcement Learning Approach NAACL 2019 Learning Interpretable Relational Structures of Hinge-loss Markov Random Fields IJCAI 2019 Learning Linear-Quadratic Regulators Efficiently with only √T Regret ICML 2019 Learning Local Search Heuristics for Boolean Satisfiability NeurIPS 2019 Learning Novel Policies For Tasks ICML 2019 Learning Options with Interest Functions AAAI 2019 Learning Personalized Modular Network Guided by Structured Knowledge CVPR 2019 Learning Robust Options by Conditional Value at Risk Optimization NeurIPS 2019 Learning Self-Imitating Diverse Policies ICLR 2019 Learning the Extraction Order of Multiple Relational Facts in a Sentence with Reinforcement Learning EMNLP 2019 Learning to Ask for Conversational Machine Learning EMNLP 2019 Learning to Communicate and Solve Visual Blocks-World Tasks AAAI 2019 Learning to Compose Dynamic Tree Structures for Visual Contexts CVPR 2019 Learning to Detect Opinion Snippet for Aspect-Based Sentiment Analysis CoNLL 2019