19 citations · 26 across the 5 of their papers we have counts for
5 papers
Wasserstein Diversity-Enriched Regularizer for Hierarchical Reinforcement Learning
Haorui Li, Jiaqi Liang, Linjing Li +1
Hierarchical reinforcement learning composites subpolicies in different hierarchies to accomplish complex tasks.Automated subpolicies discovery, which does not depend on domain kno…
Aggregate effects of advertising decisions: a complex systems look at search engine advertising via an experimental study
Yanwu Yang, Xin Li, Bernard J. Jansen +1
Purpose: We model group advertising decisions, which are the collective decisions of every single advertiser within the set of advertisers who are competing in the same auction or…
Learning Parameters for a Generalized Vidale-Wolfe Response Model with Flexible Ad Elasticity and Word-of-Mouth
Yanwu Yang, Baozhu Feng, Daniel Zeng
In this research, we investigate a generalized form of Vidale-Wolfe (GVW) model. One key element of our modeling work is that the GVW model contains two useful indexes representing…
Keyword Optimization in Sponsored Search Advertising: A Multi-Level Computational Framework
Yanwu Yang, Bernard J. Jansen, Yinghui Yang +2
In sponsored search advertising, keywords serve as an essential bridge linking advertisers, search users and search engines. Advertisers have to deal with a series of keyword decis…
How Search Engine Advertising Affects Sales over Time: An Empirical Investigation
Yanwu Yang, Kang Zhao, Daniel Zeng +1
As a mainstream marketing channel on the Internet, Search Engine Advertising (SEA) has a huge business impact and attracts a plethora of attention from both academia and industry.…