Language Understanding for TextGames using Deep Reinforcement
繼上上週的機器閱讀理解和上週的自動文摘分享之後，本週開始分享幾篇Deep Reinforcement Learning在NLP中應用的paper。在網上看到過這樣的言論，一些大牛認爲深度增強學習是人工智能研究的未來，是真正的AI，還給出了一個這樣的公式：DL+RL=AI。其實，增強學習一直都是機器學習中常用的一種無監督學習方法，隨着deepmind公司的一些好玩的成果，比如：用程序來玩簡單的vid
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相關文章
- 1. 論文筆記4：Language Understanding for Text-based Games using Deep Reinforcement Learning
- 2. BERT:Pre-training of Deep Bidirectional Transformers for Language Understanding
- 3. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
- 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. 論文閱讀：BERT：Pre-training of Deep Bidirectional Transformers for Language Understanding