An Actor-critic Reinforcement Learning Model for Optimal Bidding in Online Display Advertising-Reference-Cited by-同舟云学术

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An Actor-critic Reinforcement Learning Model for Optimal Bidding in Online Display Advertising

Published:2022-10-17 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 31st ACM International Conference on Information & Knowledge Management
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Author:

Yuan Congde¹,Guo Mengzhuo¹,Xiang Chaoneng¹,Wang Shuangyang¹,Song Guoqing²,Zhang Qingpeng¹

Affiliation:

1. Tencent, Shenzhen, China

2. Tencent, China, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3511808.3557064

Reference37 articles.

1. Animesh Animesh , Vandana Ramachandran , and Siva Viswanathan . 2005 . Online advertisers bidding strategies for search, experience, and credence goods: An empirical investigation . In Second Workshop on Sponsored Search Auctions. EC. Citeseer. Animesh Animesh, Vandana Ramachandran, and Siva Viswanathan. 2005. Online advertisers bidding strategies for search, experience, and credence goods: An empirical investigation. In Second Workshop on Sponsored Search Auctions. EC. Citeseer.

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

3. Online Display Advertising Markets: A Literature Review and Future Directions

4. The adwords problem

5. Budget optimization in search-based advertising auctions

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1. Verification of a method for latent interest estimation based on user behavior analysis and POI attributes;2023 International Conference on Computing, Networking and Communications (ICNC);2023-02-20

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