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https://github.com/adityathakker/awesome-rl-nlp

Curated Reinforcement Learning Resources for Natural Language Processing
https://github.com/adityathakker/awesome-rl-nlp

List: awesome-rl-nlp

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Curated Reinforcement Learning Resources for Natural Language Processing

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# Awesome Reinforcement Learning(RL) for Natural Language Processing(NLP) 

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. 



## Table of Contents

  - [Repositories](#repositories)

  - [Tutorials](#tutorials)

  - [Interesting Research Papers](#interesting-research-papers)

  

## Repositories

  - [Generative_NLP_RL_GAN](https://github.com/OctThe16th/Generative_NLP_RL_GAN)

  - [RL4NLP Reading Group (Spring 2017)](https://github.com/jiyfeng/rl4nlp)

  - [Recent Deep Learning papers in NLU and RL](https://github.com/madrugado/deep-learning-nlp-rl-papers)



## Tutorials

  - [CMU Neural Nets for NLP 2017 (16): Reinforcement Learning](https://www.youtube.com/watch?v=F1hZfoh-wX4)

  - [Reinforcement Learning for NLP](http://www.umiacs.umd.edu/~jbg/teaching/CSCI_7000/11a.pdf)



## Interesting Research Papers

  - [Learning to Organize Knowledge with N-Gram Machines](https://arxiv.org/abs/1711.06744v1)

  - [Neural Symbolic Machines: Learning Semantic Parsers on Freebase with Weak Supervision](https://arxiv.org/abs/1611.00020v4)

  - [Deep Reinforcement Learning for Mention-Ranking Coreference Models](https://arxiv.org/abs/1609.08667v3)

  - [Coarse-to-Fine Question Answering for Long Documents](https://homes.cs.washington.edu/~eunsol/papers/acl17eunsol.pdf)

  - [A Deep Reinforced Model for Abstractive Summarization](https://arxiv.org/pdf/1705.04304.pdf)

  - [Reinforcement Learning for Simultaneous Machine Translation](https://www.umiacs.umd.edu/~jbg/docs/2014_emnlp_simtrans.pdf)

  - [Dual Learning for Machine Translation](https://papers.nips.cc/paper/6469-dual-learning-for-machine-translation.pdf)

  - [Learning to Win by Reading Manuals in a Monte-Carlo Framework](http://people.csail.mit.edu/regina/my_papers/civ11.pdf)

  - [Improving Information Extraction by Acquiring External Evidence with Reinforcement Learning](http://people.csail.mit.edu/karthikn/assets/pdf/rlie16.pdf)

  - [Deep Reinforcement Learning with a Natural Language Action Space](http://www.aclweb.org/anthology/P16-1153)

  - [Deep Reinforcement Learning for Dialogue Generation](https://arxiv.org/pdf/1606.01541.pdf)

  - [Reinforcement Learning for Mapping Instructions to Actions](http://people.csail.mit.edu/branavan/papers/acl2009.pdf)

  - [Language Understanding for Text-based Games using Deep Reinforcement Learning](https://arxiv.org/pdf/1506.08941.pdf)

  - [End-to-end LSTM-based dialog control optimized with supervised and reinforcement learning](https://arxiv.org/pdf/1606.01269v1.pdf)

  - [End-to-End Reinforcement Learning of Dialogue Agents for Information Access](https://arxiv.org/pdf/1609.00777v1.pdf)

  - [Hybrid Code Networks: practical and efficient end-to-end dialog control with supervised and reinforcement learning](https://arxiv.org/pdf/1702.03274.pdf)

  - [Scalable Sentiment for Sequence-to-sequence Chatbot Response with Performance Analysis](https://arxiv.org/abs/1804.02504)