reinforcement learning

Multi-Task Learning for Contextual Bandits NeurIPS 2017 Multi-View Decision Processes: The Helper-AI Problem NeurIPS 2017 MUSE: Modularizing Unsupervised Sense Embeddings EMNLP 2017 Mutual Alignment Transfer Learning CoRL 2017 Natural Value Approximators: Learning when to Trust Past Estimates NeurIPS 2017 Neural Symbolic Machines: Learning Semantic Parsers on Freebase with Weak Supervision ACL 2017 On-line Dialogue Policy Learning with Companion Teaching EACL 2017 Online Reinforcement Learning in Stochastic Games NeurIPS 2017 On Thompson Sampling and Asymptotic Optimality IJCAI 2017 Optimistic Planning for the Stochastic Knapsack Problem AISTATS 2017 Optimistic posterior sampling for reinforcement learning: worst-case regret bounds NeurIPS 2017 ParlAI: A Dialog Research Software Platform EMNLP 2017 PoseAgent: Budget-Constrained 6D Object Pose Estimation via Reinforcement Learning CVPR 2017 Preparing for the Unknown: Learning a Universal Policy with Online System Identification RSS 2017 Q-LDA: Uncovering Latent Patterns in Text-based Sequential Decision Processes NeurIPS 2017 QMDP-Net: Deep Learning for Planning under Partial Observability NeurIPS 2017 Reinforced Video Captioning with Entailment Rewards EMNLP 2017 Reinforcement Learning for Bandit Neural Machine Translation with Simulated Human Feedback EMNLP 2017 Reinforcement Learning with Deep Energy-Based Policies ICML 2017 Reinforcement mechanism design IJCAI 2017 Reverse Curriculum Generation for Reinforcement Learning CoRL 2017 Runtime Neural Pruning NeurIPS 2017 Saliency-based Sequential Image Attention with Multiset Prediction NeurIPS 2017 Self-Critical Sequence Training for Image Captioning CVPR 2017 Semi-Supervised QA with Generative Domain-Adaptive Nets ACL 2017