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.
- 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