Optimizing User Engagement Through Adaptive Ad Sequencing
开发了一个离线强化学习框架，用于识别和评估能够优化用户参与度的广告序列策略。
This paper develops an offline reinforcement learning framework that identifies and evaluate the ad sequencing policy that optimizes user engagement.