Budget Constrained Bidding by Model-free Reinforcement Learning in Display Advertising-Reference-Cited by-同舟云学术

Budget Constrained Bidding by Model-free Reinforcement Learning in Display Advertising

Published:2018-10-17 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 27th ACM International Conference on Information and Knowledge Management
language:
Short-container-title:

Author:

Wu Di¹,Chen Xiujun¹,Yang Xun¹,Wang Hao¹,Tan Qing¹,Zhang Xiaoxun¹,Xu Jian¹,Gai Kun¹

Affiliation:

1. Alibaba Group, Beijing, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3269206.3271748

Reference33 articles.

1. 2017. IAB internet advertising revenue report. https://www.iab.com/wp-content/uploads/2017/12/IAB-Internet-Ad-Revenue-Report-Half-Year-2017-REPORT. pdf. 2017. IAB internet advertising revenue report. https://www.iab.com/wp-content/uploads/2017/12/IAB-Internet-Ad-Revenue-Report-Half-Year-2017-REPORT. pdf.

2. Optimal delivery of sponsored search advertisements subject to budget constraints

3. Santiago Balseiro and Yonatan Gur. 2017. Learning in repeated auctions with budgets: Regret minimization and equilibrium. (2017). Santiago Balseiro and Yonatan Gur. 2017. Learning in repeated auctions with budgets: Regret minimization and equilibrium. (2017).

Cited by 70 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. Offline Reinforcement Learning for Optimizing Production Bidding Policies;Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining;2024-08-24

2. Convexity in Real-time Bidding and Related Problems;ACM Transactions on Economics and Computation;2024-06-10

3. Mystique: A Budget Pacing System for Performance Optimization in Online Advertising;Companion Proceedings of the ACM Web Conference 2024;2024-05-13

4. Trajectory-wise Iterative Reinforcement Learning Framework for Auto-bidding;Proceedings of the ACM Web Conference 2024;2024-05-13

5. Imagine and Imitate: Cost-Effective Bidding under Partially Observable Price Landscapes;Big Data and Cognitive Computing;2024-04-28