論文閱讀：(LIRD)Deep Reinforcement Learning for List-wise Recommendations
文章目錄 摘要 一、Introduction 1、基本介紹 2、List-wise Recommendations 3、Architecture Selection（結構選擇） 4、Online Environment Simulator（在線環境模擬器） 5、簡單總結 二、THE PROPOSED FRAMEWORK（系統框架） 1、問題建模 2、User-Agent交互環境模擬器 3、模型結構
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相關文章
- 1. Deep Reinforcement Learning for List-wise Recommendations
- 2. 論文閱讀筆記：Learning Attribute-to-Feature Mappings for Cold-Start Recommendations
- 3. 【論文閱讀】Discovering Reinforcement Learning Algorithms
- 4. 論文解析：Deep Reinforcement Learning for List-wise Recommendations
- 5. 論文解析：Deep Reinforcement Learning for Page-wise Recommendations
- 6. 【論文筆記】Deep Reinforcement Learning for Page-wise Recommendations
- 7. 論文閱讀：DRN: A Deep Reinforcement Learning Framework for News Recommendation
- 8. 論文閱讀筆記《Ranking Sentences for Extractive Summarization with Reinforcement Learning》
- 9. RL論文閱讀【三】Dueling Network Architectures for Deep Reinforcement Learning
- 10. Deep Reinforcement Learning for Dialogue Generation 論文閱讀 A Diversity-Promoting Objective Function fo