most citedMarketing Budget Allocation with Offline Constrained Deep Reinforcement Learning

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cs.LG2023★ 1 cited

Marketing Budget Allocation with Offline Constrained Deep Reinforcement Learning

Tianchi Cai, Jiyan Jiang, Wenpeng Zhang +7

We study the budget allocation problem in online marketing campaigns that utilize previously collected offline data. We first discuss the long-term effect of optimizing marketing b…

cs.LG2021★ 1 cited

Adversarial Learning for Incentive Optimization in Mobile Payment Marketing

Xuanying Chen, Zhining Liu, Li Yu +5

Many payment platforms hold large-scale marketing campaigns, which allocate incentives to encourage users to pay through their applications. To maximize the return on investment, i…