Generating Text with Deep Reinforcement Learning
上一篇介绍了DQN在文字游戏中的应用，本文将分享一篇DQN在文本生成中的应用，将一个领域的知识迁移到其他领域应用的时候，都需要做概念上的等效替换，比如context可以替换为state，被预测的word可以替换为action。本文分享的题目是Generating Text with Deep Reinforcement Learning，作者是来自National Research Council
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相关文章
- 1. Generating Text with Deep Reinforcement Learning
- 2. Generating Test Input with Deep Reinforcement Learning 论文笔记
- 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