Reinforcement Learning

Reinforced Product Metadata Selection for Helpfulness Assessment of Customer Reviews EMNLP 2019 Reinforced Training Data Selection for Domain Adaptation ACL 2019 Reinforcement-based denoising of distantly supervised NER with partial annotation EMNLP 2019 Relay Policy Learning: Solving Long-Horizon Tasks via Imitation and Reinforcement Learning CoRL 2019 Representation Learning on Graphs: A Reinforcement Learning Application AISTATS 2019 Rethinking the Discount Factor in Reinforcement Learning: A Decision Theoretic Approach AAAI 2019 Retrieving Sequential Information for Non-Autoregressive Neural Machine Translation ACL 2019 Revisiting Reweighted Wake-Sleep for Models with Stochastic Control Flow UAI 2019 Risk-Sensitive Generative Adversarial Imitation Learning AISTATS 2019 Robust exploration in linear quadratic reinforcement learning NeurIPS 2019 RUDDER: Return Decomposition for Delayed Rewards NeurIPS 2019 Safe and Sample-Efficient Reinforcement Learning Algorithms for Factored Environments IJCAI 2019 Safe Policy Improvement with Baseline Bootstrapping in Factored Environments AAAI 2019 Self-Paced Contextual Reinforcement Learning CoRL 2019 Self-Regulated Interactive Sequence-to-Sequence Learning ACL 2019 Sentence Mover’s Similarity: Automatic Evaluation for Multi-Sentence Texts ACL 2019 Sequential Patient Recruitment and Allocation for Adaptive Clinical Trials AISTATS 2019 Simpler and Faster Learning of Adaptive Policies for Simultaneous Translation EMNLP 2019 Social Reinforcement Learning to Combat Fake News Spread UAI 2019 Split Q Learning: Reinforcement Learning with Two-Stream Rewards IJCAI 2019 State Abstraction as Compression in Apprenticeship Learning AAAI 2019 State Aggregation Learning from Markov Transition Data NeurIPS 2019 State-Augmentation Transformations for Risk-Sensitive Reinforcement Learning AAAI 2019 Strategic Tasks for Explainable Reinforcement Learning AAAI 2019 Successor Features Based Multi-Agent RL for Event-Based Decentralized MDPs AAAI 2019