reinforcement learning

Sentence Simplification with Deep Reinforcement Learning EMNLP 2017 Sequence Prediction with Unlabeled Data by Reward Function Learning IJCAI 2017 Sequence Tutor: Conservative Fine-Tuning of Sequence Generation Models with KL-control ICML 2017 Should Neural Network Architecture Reflect Linguistic Structure? CoNLL 2017 Speeding up Reinforcement Learning-based Information Extraction Training using Asynchronous Methods EMNLP 2017 Successor Features for Transfer in Reinforcement Learning NeurIPS 2017 Tackling Error Propagation through Reinforcement Learning: A Case of Greedy Dependency Parsing EACL 2017 Task-Oriented Query Reformulation with Reinforcement Learning EMNLP 2017 Teaching Machines to Describe Images with Natural Language Feedback NeurIPS 2017 Tensor Based Knowledge Transfer Across Skill Categories for Robot Control IJCAI 2017 The Intentional Unintentional Agent: Learning to Solve Many Continuous Control Tasks Simultaneously CoRL 2017 Towards End-to-End Reinforcement Learning of Dialogue Agents for Information Access ACL 2017 Towards Generalization and Simplicity in Continuous Control NeurIPS 2017 Transfer Learning in Multi-Armed Bandits: A Causal Approach IJCAI 2017 Unifying Task Specification in Reinforcement Learning ICML 2017 Unsupervised Perceptual Rewards for Imitation Learning RSS 2017 Value Iteration Networks IJCAI 2017 What Can You Do with a Rock? Affordance Extraction via Word Embeddings IJCAI 2017 Why is Posterior Sampling Better than Optimism for Reinforcement Learning? ICML 2017 World of Bits: An Open-Domain Platform for Web-Based Agents ICML 2017 Zap Q-Learning NeurIPS 2017 Accelerating Stochastic Composition Optimization NeurIPS 2016 Adaptive optimal training of animal behavior NeurIPS 2016 Adaptive Skills Adaptive Partitions (ASAP) NeurIPS 2016 An Emphatic Approach to the Problem of Off-policy Temporal-Difference Learning JMLR 2016