deep-learning-nlp-rl-papers and rl4nlp
These two tools are competitors, as both aim to provide collections of papers on reinforcement learning applied to NLP, but with differing levels of curation and community engagement.
About deep-learning-nlp-rl-papers
madrugado/deep-learning-nlp-rl-papers
Recent Deep Learning papers in NLU and RL
This is a curated collection of deep learning research papers focusing on Natural Language Understanding (NLU) and Reinforcement Learning (RL), along with brief personal notes on each paper's main idea. It serves as a personal reference for researchers, students, and practitioners to quickly recall or discover important work in these fields. You get a categorized list of papers with summaries and supplemental articles.
About rl4nlp
Shujian2015/rl4nlp
A collection of papers on reinforcement learning applied to NLP
This collection helps AI researchers and machine learning engineers stay up-to-date on the latest methods for building advanced language systems. It compiles academic papers exploring how reinforcement learning techniques can be applied to tasks like generating conversational AI responses, summarizing documents, or classifying text. If you are developing cutting-edge natural language processing applications, this resource provides an organized overview of relevant research.
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