Search Results for author: Rongquan Bai

Found 3 papers, 1 papers with code

MEBS: Multi-task End-to-end Bid Shading for Multi-slot Display Advertising

no code implementations5 Mar 2024 Zhen Gong, Lvyin Niu, Yang Zhao, Miao Xu, Zhenzhe Zheng, Haoqi Zhang, Zhilin Zhang, Fan Wu, Rongquan Bai, Chuan Yu, Jian Xu, Bo Zheng

Through extensive offline and online experiments, we demonstrate the effectiveness and efficiency of our method, and we obtain a 7. 01% lift in Gross Merchandise Volume, a 7. 42% lift in Return on Investment, and a 3. 26% lift in ad buy count.

Sustainable Online Reinforcement Learning for Auto-bidding

1 code implementation13 Oct 2022 Zhiyu Mou, Yusen Huo, Rongquan Bai, Mingzhou Xie, Chuan Yu, Jian Xu, Bo Zheng

Due to safety concerns, it was believed that the RL training process can only be carried out in an offline virtual advertising system (VAS) that is built based on the historical data generated in the RAS.

Q-Learning reinforcement-learning +1

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