policy learning

Imitating Latent Policies from Observation ICML 2019 Imitation Learning from Observation AAAI 2019 Interactive Teaching Algorithms for Inverse Reinforcement Learning IJCAI 2019 Learning Action Representations for Reinforcement Learning ICML 2019 Learning How to Active Learn by Dreaming ACL 2019 Learning Reactive Motion Policies in Multiple Task Spaces from Human Demonstrations CoRL 2019 Learning to Generalize from Sparse and Underspecified Rewards ICML 2019 Learning When Not to Answer: a Ternary Reward Structure for Reinforcement Learning Based Question Answering NAACL 2019 Leveraging Human Guidance for Deep Reinforcement Learning Tasks IJCAI 2019 Machine Teaching for Inverse Reinforcement Learning: Algorithms and Applications AAAI 2019 Modeling Multi-Action Policy for Task-Oriented Dialogues EMNLP 2019 Model-Predictive Policy Learning with Uncertainty Regularization for Driving in Dense Traffic ICLR 2019 Multi-Task Deep Reinforcement Learning with PopArt AAAI 2019 Neural Machine Translation with Adequacy-Oriented Learning AAAI 2019 Neural Task Graphs: Generalizing to Unseen Tasks From a Single Video Demonstration CVPR 2019 Offline Contextual Bandits with High Probability Fairness Guarantees NeurIPS 2019 OIL: Observational Imitation Learning RSS 2019 Optimizing over a Restricted Policy Class in MDPs AISTATS 2019 Policy Continuation with Hindsight Inverse Dynamics NeurIPS 2019 Read, Watch, and Move: Reinforcement Learning for Temporally Grounding Natural Language Descriptions in Videos AAAI 2019 Recent Advances in Imitation Learning from Observation IJCAI 2019 Rewarding Smatch: Transition-Based AMR Parsing with Reinforcement Learning ACL 2019 Semi-Supervised Learning of Decision-Making Models for Human-Robot Collaboration CoRL 2019 Sharing Experience in Multitask Reinforcement Learning IJCAI 2019 Simpler and Faster Learning of Adaptive Policies for Simultaneous Translation EMNLP 2019