Adversarial Constrained Bidding via Minimax Regret Optimization with Causality-Aware Reinforcement Learning

The proliferation of the Internet has led to the emergence of online advertising, driven by the mechanics of online auctions. In these repeated auctions, software agents participate on behalf of aggregated advertisers to optimize for their long-term utility. To fulfill the diverse demands, bidding s...

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Veröffentlicht in:	arXiv.org
Hauptverfasser:	Wang, Haozhe, Du, Chao, Fang, Panyan, He, Li, Wang, Liang, Zheng, Bo
Format:	Paper
Sprache:	Englisch
Veröffentlicht:	Ithaca Cornell University Library, arXiv.org 12.06.2023
Schlagworte:	Advertising Causality Constraints Distillation Minimax technique Online advertising Optimization Software agents Synthetic data
ISSN:	2331-8422
Online-Zugang:	Volltext
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