Add WWW2019 Paper

cszhangzhen · Jun 3, 2019 · c4af8aa · c4af8aa
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@@ -29,10 +29,12 @@ Courses on Deep Reinforcement Learning (DRL) and DRL papers for recommender syst
 1. **Stabilizing Reinforcement Learning in Dynamic Environment with Application to Online Recommendation**. Shi-Yong Chen, Yang Yu, Qing Da, Jun Tan, Hai-Kuan Huang, Hai-Hong Tang. KDD 2018. [paper](http://lamda.nju.edu.cn/yuy/GetFile.aspx?File=papers/kdd18-RobustDQN.pdf)
 1. **Reinforcement Learning to Rank in E-Commerce Search Engine: Formalization, Analysis, and Application**. Yujing Hu, Qing Da, Anxiang Zeng, Yang Yu, Yinghui Xu. KDD 2018. [paper](https://arxiv.org/pdf/1803.00710.pdf)
 1. **A Reinforcement Learning Framework for Explainable Recommendation**. Xiting Wang, Yiru Chen, Jie Yang, Le Wu, Zhengtao Wu, Xing Xie. ICDM 2018. [paper](https://www.microsoft.com/en-us/research/uploads/prod/2018/08/main.pdf)
+1. **Top-K Off-Policy Correction for a REINFORCE Recommender System**. Minmin Chen, Alex Beutel, Paul Covington, Sagar Jain, Francois Belletti, Ed H. Chi. WSDM 2019. [paper](https://arxiv.org/pdf/1812.02353.pdf)
+1. **Generative Adversarial User Model for Reinforcement Learning Based Recommendation System**. Xinshi Chen, Shuang Li, Hui Li, Shaohua Jiang, Yuan Qi, Le Song. ICML 2019. [paper](http://proceedings.mlr.press/v97/chen19f/chen19f.pdf)
+1. **Aggregating E-commerce Search Results from Heterogeneous Sources via Hierarchical Reinforcement Learning**. Ryuichi Takanobu, Tao Zhuang, Minlie Huang, Jun Feng, Haihong Tang, Bo Zheng. WWW 2019. [paper](https://arxiv.org/pdf/1902.08882.pdf)
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+### Preprint Papers
 1. **Reinforcement Learning based Recommender System using Biclustering Technique**. Sungwoon Choi, Heonseok Ha, Uiwon Hwang, Chanju Kim, Jung-Woo Ha, Sungroh Yoon. arxiv 2018. [paper](https://arxiv.org/pdf/1801.05532.pdf) 
 1. **Deep Reinforcement Learning based Recommendation with Explicit User-Item Interactions Modeling**. Feng Liu, Ruiming Tang, Xutao Li, Weinan Zhang, Yunming Ye, Haokun Chen, Huifeng Guo, Yuzhou Zhang. arxiv 2018. [paper](https://arxiv.org/pdf/1810.12027.pdf)
 1. **Model-Based Reinforcement Learning for Whole-Chain Recommendations**. Xiangyu Zhao, Long Xia, Yihong Zhao, Dawei Yin, Jiliang Tang. arxiv 2019. [paper](https://arxiv.org/pdf/1902.03987.pdf)
 1. **Reinforcement Learning to Optimize Long-term User Engagement in Recommender Systems**. Lixin Zou, Long Xia, Zhuoye Ding, Jiaxing Song, Weidong Liu, Dawei Yin. arxiv 2019. [paper](https://arxiv.org/pdf/1902.05570.pdf)
-1. **Top-K Off-Policy Correction for a REINFORCE Recommender System**. Minmin Chen, Alex Beutel, Paul Covington, Sagar Jain, Francois Belletti, Ed H. Chi. WSDM 2019. [paper](https://arxiv.org/pdf/1812.02353.pdf)
-1. **Generative Adversarial User Model for Reinforcement Learning Based Recommendation System**. Xinshi Chen, Shuang Li, Hui Li, Shaohua Jiang, Yuan Qi, Le Song. ICML 2019. [paper](http://proceedings.mlr.press/v97/chen19f/chen19f.pdf)
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