User Response Modeling in Reinforcement Learning for Ads Allocation
Author:
Affiliation:
1. University of Chinese Academy of Sciences & Institute of Automation, Chinese Academy of Sciences, Beijing, China
2. Meituan, Beijing, China
Funder
Meituan
National Natural Science Foundation of China
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3589335.3648310
Reference43 articles.
1. Yash Chandak, Georgios Theocharous, James Kostas, Scott Jordan, and Philip Thomas. 2019. Learning action representations for reinforcement learning. In International conference on machine learning. PMLR, 941--950.
2. Top-K Off-Policy Correction for a REINFORCE Recommender System
3. User Response Models to Improve a REINFORCE Recommender System
4. Off-Policy Actor-critic for Recommender Systems
5. Yuhui Chen, Haoran Li, and Dongbin Zhao. 2023. Boosting continuous control with consistency policy. arXiv preprint arXiv:2310.06343 (2023).
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