Deep Reinforcement Learning for Dialogue Generation
Deep Reinforcement Learning for Dialogue Generation 任務好理解，就是生成對話，之前採用最大似然來優化這個問題，會存在以下問題： 生成的最後開始變得毫無意義，作者想利用增強學習來緩解這一點。 有關爲什麼用Policy Gradient不用Q-Learning，作者是這樣解釋的： 按照我對兩種強化學習的理解，q-learning是最大化q值，acti
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相關文章
- 1. Deep Reinforcement Learning for Dialogue Generation
- 2. Deep Reinforcement Learning for Dialogue Generation閱讀筆記
- 3. Deep Reinforcement Learning for Dialogue Generation 論文閱讀 A Diversity-Promoting Objective Function fo
- 4. Deep Reinforcement Learning for Dialogue Generation-關於生成對話的深度強化學習
- 5. Adversarial Learning for Neural Dialogue Generation 代碼分析
- 6. Deep Reinforcement Learning for Join Order Enumeration
- 7. Deep Reinforcement Learning for List-wise Recommendations
- 8. 閱讀《SeedNet: Automatic Seed Generation with Deep Reinforcement Learning for Robust Interactive Segme》
- 9. Image Cption：Curiosity-driven Reinforcement Learning for Diverse Visual Paragraph Generation
- 10. Deep Reinforcement Learning