Reinforcement Learning

Asking Easy Questions: A User-Friendly Approach to Active Reward Learning CoRL 2019 Aspect Sentiment Classification Towards Question-Answering with Reinforced Bidirectional Attention Network ACL 2019 Assumed Density Filtering Q-learning IJCAI 2019 A Strongly Asymptotically Optimal Agent in General Environments IJCAI 2019 A Structured Prediction Approach for Generalization in Cooperative Multi-Agent Reinforcement Learning NeurIPS 2019 A Survey of Reinforcement Learning Informed by Natural Language IJCAI 2019 A Survey on Reproducibility by Evaluating Deep Reinforcement Learning Algorithms on Real-World Robots CoRL 2019 Asymptotically Optimal Planning for Non-Myopic Multi-Robot Information Gathering RSS 2019 Asynchronous Methods for Model-Based Reinforcement Learning CoRL 2019 A Theory of Regularized Markov Decision Processes ICML 2019 A Tighter Analysis of Randomised Policy Iteration UAI 2019 A Topic-Aware Reinforced Model for Weakly Supervised Stance Detection AAAI 2019 Attention-Aware Sampling via Deep Reinforcement Learning for Action Recognition AAAI 2019 Attention Guided Imitation Learning and Reinforcement Learning AAAI 2019 Augmenting Markov Decision Processes with Advising AAAI 2019 A Unified Bellman Optimality Principle Combining Reward Maximization and Empowerment NeurIPS 2019 Automated Shapeshifting for Function Recovery in Damaged Robots RSS 2019 Automatic Face Aging in Videos via Deep Reinforcement Learning CVPR 2019 Automatic Successive Reinforcement Learning with Multiple Auxiliary Rewards IJCAI 2019 Autoregressive Policies for Continuous Control Deep Reinforcement Learning IJCAI 2019 Batch Policy Learning under Constraints ICML 2019 Bayesian Action Decoder for Deep Multi-Agent Reinforcement Learning ICML 2019 Bayesian Policy Optimization for Model Uncertainty ICLR 2019 Better Exploration with Optimistic Actor Critic NeurIPS 2019 Better, Faster, Stronger Sequence Tagging Constituent Parsers NAACL 2019