Marketing Budget Allocation with Offline Constrained Deep Reinforcement Learning-Reference-Cited by-同舟云学术

Marketing Budget Allocation with Offline Constrained Deep Reinforcement Learning

Published:2023-02-27 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining
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Author:

Cai Tianchi¹^ORCID,Jiang Jiyan²^ORCID,Zhang Wenpeng³^ORCID,Zhou Shiji²^ORCID,Song Xierui¹^ORCID,Yu Li¹^ORCID,Gu Lihong¹^ORCID,Zeng Xiaodong¹^ORCID,Gu Jinjie¹^ORCID,Zhang Guannan¹^ORCID

Affiliation:

1. Ant Group, Hangzhou, China

2. Tsinghua University, Beijing, China

3. Ant Group, Beijing, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3539597.3570486

Reference43 articles.

1. Apprenticeship learning via inverse reinforcement learning

2. Jacob Abernethy , Peter L Bartlett , and Elad Hazan . 2011 . Blackwell approachability and no-regret learning are equivalent . In Proceedings of the 24th Annual Conference on Learning Theory. 27--46 . Jacob Abernethy, Peter L Bartlett, and Elad Hazan. 2011. Blackwell approachability and no-regret learning are equivalent. In Proceedings of the 24th Annual Conference on Learning Theory. 27--46.

3. M Mehdi Afsar , Trafford Crump , and Behrouz Far . 2021. Reinforcement learning based recommender systems: A survey. ACM Computing Surveys (CSUR) ( 2021 ). M Mehdi Afsar, Trafford Crump, and Behrouz Far. 2021. Reinforcement learning based recommender systems: A survey. ACM Computing Surveys (CSUR) (2021).

4. Budget pacing for targeted online advertisements at LinkedIn

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