Generating Text with Deep Reinforcement Learning
上一篇介紹了DQN在文字遊戲中的應用，本文將分享一篇DQN在文本生成中的應用，將一個領域的知識遷移到其他領域應用的時候，都需要做概念上的等效替換，比如context可以替換爲state，被預測的word可以替換爲action。本文分享的題目是Generating Text with Deep Reinforcement Learning，作者是來自National Research Council
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相關文章
- 1. Generating Text with Deep Reinforcement Learning
- 2. Generating Test Input with Deep Reinforcement Learning 論文筆記
- 3. Continuous control with Deep Reinforcement Learning
- 4. Playing Atari with Deep Reinforcement Learning
- 5. Playing atari with deep reinforcement learning
- 6. Deep Reinforcement Learning
- 7. Deep Reinforcement Learning with a Natural Language Action Space
- 8. Reinforcement learning and Deep learning
- 9. Relational Deep Reinforcement Learning
- 10. NIPS-2013：Playing Atari with Deep Reinforcement Learning