Generative Auto-bidding via Conditional Diffusion Modeling

J Guo, Y Huo, Z Zhang, T Wang, C Yu, J Xu… - Proceedings of the 30th …, 2024 - dl.acm.org
Auto-bidding plays a crucial role in facilitating online advertising by automatically providing
bids for advertisers. Reinforcement learning (RL) has gained popularity for auto-bidding …

A personalized automated bidding framework for fairness-aware online advertising

H Zhang, L Niu, Z Zheng, Z Zhang, S Gu, F Wu… - Proceedings of the 29th …, 2023 - dl.acm.org
Powered by machine learning techniques, online advertising platforms have launched
various automated bidding strategy services to facilitate intelligent decision-making for …

Offline reinforcement learning for optimizing production bidding policies

D Korenkevych, F Cheng, A Balakir… - Proceedings of the 30th …, 2024 - dl.acm.org
The online advertising market, with its thousands of auctions run per second, presents a
daunting challenge for advertisers who wish to optimize their spend under a budget …

Adapting Constrained Markov Decision Process for OCPC Bidding with Delayed Conversions

L Zhang, X Zhang, Y Wang, X Li, Z Dong… - ACM Transactions on …, 2024 - dl.acm.org
Nowadays, optimized cost-per-click (OCPC) has been widely adopted in online advertising.
In OCPC, the advertiser sets an expected cost-per-conversion and pays per click, while the …

Trajectory-wise Iterative Reinforcement Learning Framework for Auto-bidding

H Li, Y Huo, S Dou, Z Zheng, Z Zhang, C Yu… - Proceedings of the …, 2024 - dl.acm.org
In online advertising, advertisers participate in ad auctions to acquire ad opportunities, often
by utilizing auto-bidding tools provided by demand-side platforms (DSPs). The current auto …

GAS: Generative Auto-bidding with Post-training Search

Y Li, S Mao, J Gao, N Jiang, Y Xu, Q Cai, F Pan… - arXiv preprint arXiv …, 2024 - arxiv.org
Auto-bidding is essential in facilitating online advertising by automatically placing bids on
behalf of advertisers. Generative auto-bidding, which generates bids based on an …

[PDF][PDF] ANOTO: Improving Automated Negotiation via Offline-to-Online Reinforcement Learning

S Chen, J Zhao, K Zhao, G Weiss, F Zhang… - Proceedings of the 23rd …, 2024 - ifaamas.org
Automated negotiation is a crucial component for establishing cooperation and collaboration
within multi-agent systems. While reinforcement learning (RL)-based negotiating agents …

[PDF][PDF] Quality Metrics for Reinforcement Learning for Edge Cloud and Internet-of-Things Systems.

C Pahl, HR Barzegar - WEBIST, 2023 - scitepress.org
Computation at the edge or within the Internet-of-Things (IoT) requires the use of controllers
to make the management of resources in this setting self-adaptive. Controllers are software …

Intelligence artificielle pour la configuration et l'achat de campagnes publicitaires en ligne

I Benamara - 2024 - theses.hal.science
In the evolving landscape of modern marketing, digital advertising has emerged as a pivotal
component, enabling businesses to expand their reach to larger, more diverse audiences …