Language Understanding for TextGames using Deep Reinforcement
继上上周的机器阅读理解和上周的自动文摘分享之后，本周开始分享几篇Deep Reinforcement Learning在NLP中应用的paper。在网上看到过这样的言论，一些大牛认为深度增强学习是人工智能研究的未来，是真正的AI，还给出了一个这样的公式：DL+RL=AI。其实，增强学习一直都是机器学习中常用的一种无监督学习方法，随着deepmind公司的一些好玩的成果，比如：用程序来玩简单的vid
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相关文章
- 1. 论文笔记4：Language Understanding for Text-based Games using Deep Reinforcement Learning
- 2. BERT:Pre-training of Deep Bidirectional Transformers for Language Understanding
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- 4. 《BERT:Pre-training of Deep Bidirectional Transformers for Language Understanding》
- 5. Bert: Pre-training of Deep Bidirectional Transformers for Language Understanding
- 6. Deep Reinforcement Learning with a Natural Language Action Space
- 7. ACL2020 Semantics-aware BERT for Language Understanding
- 8. CS224d: Deep Learning for Natural Language Process
- 9. Deep Reinforcement Learning
- 10. 论文阅读：BERT：Pre-training of Deep Bidirectional Transformers for Language Understanding