reinforcement learning

Fake News Mitigation via Point Process Based Intervention ICML 2017 From Language to Programs: Bridging Reinforcement Learning and Maximum Marginal Likelihood ACL 2017 From the Lab to the Desert: Fast Prototyping and Learning of Robot Locomotion RSS 2017 Grammatical Error Correction with Neural Reinforcement Learning IJCNLP 2017 Hybrid Code Networks: practical and efficient end-to-end dialog control with supervised and reinforcement learning ACL 2017 Improving Reinforcement Learning with Confidence-Based Demonstrations IJCAI 2017 Input Convex Neural Networks ICML 2017 Integrated Learning of Dialog Strategies and Semantic Parsing EACL 2017 Interactive Learning from Policy-Dependent Human Feedback ICML 2017 Interactive Learning of Grounded Verb Semantics towards Human-Robot Communication ACL 2017 Is the Bellman residual a bad proxy? NeurIPS 2017 Latent Intention Dialogue Models ICML 2017 Learning Combinatorial Optimization Algorithms over Graphs NeurIPS 2017 Learning Conversational Systems that Interleave Task and Non-Task Content IJCAI 2017 Learning how to Active Learn: A Deep Reinforcement Learning Approach EMNLP 2017 Learning in POMDPs with Monte Carlo Tree Search ICML 2017 Learning Robotic Manipulation of Granular Media CoRL 2017 Learning Robot Objectives from Physical Human Interaction CoRL 2017 Learning to Diagnose: Assimilating Clinical Narratives using Deep Reinforcement Learning IJCNLP 2017 Learning to Learn From Noisy Web Videos CVPR 2017 Learning to Translate in Real-time with Neural Machine Translation EACL 2017 Learning Unknown Markov Decision Processes: A Thompson Sampling Approach NeurIPS 2017 Learning what to read: Focused machine reading EMNLP 2017 Mapping Instructions and Visual Observations to Actions with Reinforcement Learning EMNLP 2017 Modular Multitask Reinforcement Learning with Policy Sketches ICML 2017