DRL4IR: 4th Workshop on Deep Reinforcement Learning for Information Retrieval-Reference-Cited by-同舟云学术

DRL4IR: 4th Workshop on Deep Reinforcement Learning for Information Retrieval

Published:2023-10-21 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 32nd ACM International Conference on Information and Knowledge Management
language:
Short-container-title:

Author:

Xin Xin¹^ORCID,Zhao Xiangyu²^ORCID,Huang Jin³^ORCID,Zhang Weinan⁴^ORCID,Zhao Li⁵^ORCID,Yin Dawei⁶^ORCID,Yang Grace Hui⁷^ORCID

Affiliation:

1. Shandong University, Qingdao, China

2. City University of Hong Kong, Hong Kong, China

3. University of Amsterdam, Amsterdam, Netherlands

4. Shanghai Jiao Tong University, Shanghai, China

5. Microsoft Research, Beijing, China

6. Baidu, Beijing, China

7. Georgetown University, Washington, DC, USA

Funder

Natural Science Foundation of China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3583780.3615303

Reference11 articles.

1. Reinforcement Learning based Recommender Systems: A Survey

2. Real-Time Bidding by Reinforcement Learning in Display Advertising

3. Gabriel Dulac-Arnold , Richard Evans , Hado van Hasselt , Peter Sunehag , Timothy Lillicrap , Jonathan Hunt , Timothy Mann , Theophane Weber , Thomas Degris , and Ben Coppin . 2015. Deep reinforcement learning in large discrete action spaces. arXiv preprint arXiv:1512.07679 ( 2015 ). Gabriel Dulac-Arnold, Richard Evans, Hado van Hasselt, Peter Sunehag, Timothy Lillicrap, Jonathan Hunt, Timothy Mann, Theophane Weber, Thomas Degris, and Ben Coppin. 2015. Deep reinforcement learning in large discrete action spaces. arXiv preprint arXiv:1512.07679 (2015).

4. Reinforcement Learning for Relation Classification From Noisy Data

5. It Is Different When Items Are Older

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. AgentIR: 1st Workshop on Agent-based Information Retrieval;Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval;2024-07-10