Search and Score-Based Waterfall Auction Optimization-Reference-Cited by-同舟云学术

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Search and Score-Based Waterfall Auction Optimization

Published:2022 Issue: Volume: Page:361-378
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
language:
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Author:

Halbersberg Dan,Halevi Matan,Salhov Moshe

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-24866-5_27

Reference19 articles.

1. Afshar, R.R., Rhuggenaath, J., Zhang, Y., Kaymak, U.: A reward shaping approach for reserve price optimization using deep reinforcement learning. In: Proceedings of the 9th International Joint Conference on Neural Networks (2021)

2. Afshar, R.R., Zhang, Y., Firat, M., Kaymak, U.: A decision support method to increase the revenue of ad publishers in waterfall strategy. In: IEEE Conference on Computational Intelligence for Financial Engineering and Economics, pp. 1–8. IEEE (2019)

3. Afshar, R.R., Zhang, Y., Firat, M., Kaymak, U.: A reinforcement learning method to select ad networks in waterfall strategy. In: Proceedings of the 11th International Conference on Agents and Artificial Intelligence (2019)

4. Battiti, R., Brunato, M., Mascia, F.: Reactive search and intelligent optimization, vol. 45. Springer Science & Business Media (2008)

5. Dimitri, P.: Bertsekas and Athena Scientific. Convex optimization algorithms, Athena Scientific Belmont (2015)

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. Revenue Maximization at Waterfall Auctions with Dynamic Programming;2022 IEEE International Conference on Big Data (Big Data);2022-12-17

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