126 citations · 494 across the 31 of their papers we have counts for
Showing 2018Show all
3 papers · 1 filter
cs.AI2018★ 9 cited
A Multi-Agent Reinforcement Learning Method for Impression Allocation in Online Display Advertising
Di Wu, Cheng Chen, Xun Yang +4
In online display advertising, guaranteed contracts and real-time bidding (RTB) are two major ways to sell impressions for a publisher. Despite the increasing popularity of RTB, th…
cs.LG2018★ 2 cited
Learning Adaptive Display Exposure for Real-Time Advertising
Weixun Wang, Junqi Jin, Jianye Hao +9
In E-commerce advertising, where product recommendations and product ads are presented to users simultaneously, the traditional setting is to display ads at fixed positions. Howeve…
cs.AI2018★ 93 cited
Budget Constrained Bidding by Model-free Reinforcement Learning in Display Advertising
Di Wu, Xiujun Chen, Xun Yang +5
Real-time bidding (RTB) is an important mechanism in online display advertising, where a proper bid for each page view plays an essential role for good marketing results. Budget co…