论文阅读：(LIRD)Deep Reinforcement Learning for List-wise Recommendations
文章目录 摘要 一、Introduction 1、基本介绍 2、List-wise Recommendations 3、Architecture Selection（结构选择） 4、Online Environment Simulator（在线环境模拟器） 5、简单总结 二、THE PROPOSED FRAMEWORK（系统框架） 1、问题建模 2、User-Agent交互环境模拟器 3、模型结构
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相关文章
- 1. Deep Reinforcement Learning for List-wise Recommendations
- 2. 论文阅读笔记：Learning Attribute-to-Feature Mappings for Cold-Start Recommendations
- 3. 【论文阅读】Discovering Reinforcement Learning Algorithms
- 4. 论文解析：Deep Reinforcement Learning for List-wise Recommendations
- 5. 论文解析：Deep Reinforcement Learning for Page-wise Recommendations
- 6. 【论文笔记】Deep Reinforcement Learning for Page-wise Recommendations
- 7. 论文阅读：DRN: A Deep Reinforcement Learning Framework for News Recommendation
- 8. 论文阅读笔记《Ranking Sentences for Extractive Summarization with Reinforcement Learning》
- 9. RL论文阅读【三】Dueling Network Architectures for Deep Reinforcement Learning
- 10. Deep Reinforcement Learning for Dialogue Generation 论文阅读 A Diversity-Promoting Objective Function fo