Generating Text with Deep Reinforcement Learning
Generating Text with Deep Reinforcement Learning 主要思想就是多次循环生成，先生成简单的，然后难的。 要用强化学习生成，更新公式可以由Bellman equation得到。这里文本生成，考虑到long range temporal dependencies和varying lengths，使用了LSTM。 首先，是最基础的RNN结构，只有一个输入和隐
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
- 更多相关文章...
- • SVG
- SVG 教程 - • ASP.NET Text 属性 - ASP.NET 教程
- • 为了进字节跳动，我精选了29道Java经典算法题，带详细讲解
- • Composer 安装与使用
相关标签/搜索
每日一句
-
每一个你不满意的现在，都有一个你没有努力的曾经。
欢迎关注本站公众号,获取更多信息
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