Generating Text with Deep Reinforcement Learning
Generating Text with Deep Reinforcement Learning 主要思想就是多次循環生成，先生成簡單的，然後難的。 要用強化學習生成，更新公式可以由Bellman equation得到。這裏文本生成，考慮到long range temporal dependencies和varying lengths，使用了LSTM。 首先，是最基礎的RNN結構，只有一個輸入和隱
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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