Curated List of Reinforcement Learning Resources for Natural Language Processing. I am updating this list as I read and learn about this repositories/papers/tutorials. This repository might not get updated regularly because less research work is being published in the intersection of NLP and RL.

• Repositories
• Tutorials
• Interesting Research Papers

• Generative_NLP_RL_GAN
• RL4NLP Reading Group (Spring 2017)
• Recent Deep Learning papers in NLU and RL

• CMU Neural Nets for NLP 2017 (16): Reinforcement Learning
• Reinforcement Learning for NLP

• Learning to Organize Knowledge with N-Gram Machines
• Neural Symbolic Machines: Learning Semantic Parsers on Freebase with Weak Supervision
• Deep Reinforcement Learning for Mention-Ranking Coreference Models
• Coarse-to-Fine Question Answering for Long Documents
• A Deep Reinforced Model for Abstractive Summarization
• Reinforcement Learning for Simultaneous Machine Translation
• Dual Learning for Machine Translation
• Learning to Win by Reading Manuals in a Monte-Carlo Framework
• Improving Information Extraction by Acquiring External Evidence with Reinforcement Learning
• Deep Reinforcement Learning with a Natural Language Action Space
• Deep Reinforcement Learning for Dialogue Generation
• Reinforcement Learning for Mapping Instructions to Actions
• Language Understanding for Text-based Games using Deep Reinforcement Learning
• End-to-end LSTM-based dialog control optimized with supervised and reinforcement learning
• End-to-End Reinforcement Learning of Dialogue Agents for Information Access
• Hybrid Code Networks: practical and efficient end-to-end dialog control with supervised and reinforcement learning
• Scalable Sentiment for Sequence-to-sequence Chatbot Response with Performance Analysis