Deep Reinforcement Learning for Dialogue Generation
Deep Reinforcement Learning for Dialogue Generation 任务好理解，就是生成对话，之前采用最大似然来优化这个问题，会存在以下问题： 生成的最后开始变得毫无意义，作者想利用增强学习来缓解这一点。 有关为什么用Policy Gradient不用Q-Learning，作者是这样解释的： 按照我对两种强化学习的理解，q-learning是最大化q值，acti
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相关文章
- 1. Deep Reinforcement Learning for Dialogue Generation
- 2. Deep Reinforcement Learning for Dialogue Generation阅读笔记
- 3. Deep Reinforcement Learning for Dialogue Generation 论文阅读 A Diversity-Promoting Objective Function fo
- 4. Deep Reinforcement Learning for Dialogue Generation-关于生成对话的深度强化学习
- 5. Adversarial Learning for Neural Dialogue Generation 代码分析
- 6. Deep Reinforcement Learning for Join Order Enumeration
- 7. Deep Reinforcement Learning for List-wise Recommendations
- 8. 阅读《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