Real-Time Bidding with Multi-Agent Reinforcement Learning in Display Advertising

Author:

Jin Junqi1,Song Chengru1,Li Han1,Gai Kun1,Wang Jun2,Zhang Weinan3

Affiliation:

1. Alibaba Group, Beijing, China

2. University College London, London, United Kingdom

3. Shanghai Jiao Tong University, Shanghai, China

Publisher

ACM

Cited by 86 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. Generative Auto-bidding via Conditional Diffusion Modeling;Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining;2024-08-24

2. Online Causal Inference for Advertising in Real-Time Bidding Auctions;Marketing Science;2024-08-14

3. A distributed adaptive policy gradient method based on momentum for multi-agent reinforcement learning;Complex & Intelligent Systems;2024-07-12

4. A Comprehensive Architecture for Federated Learning-Based Smart Advertising;Sensors;2024-06-09

5. A survey on multi-agent reinforcement learning and its application;Journal of Automation and Intelligence;2024-06

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