DEEP REINFORCEMENT LEARNING METHODS AND APPARATUSES FOR REFERRAL MARKETING

Embodiments of the present specification provide deep reinforcement learning methods and apparatuses for referral marketing. One method includes the following: obtaining state information of an execution environment of a deep reinforcement learning system, wherein the state information comprises user information of a current user of the deep reinforcement learning system; determining a marketing activity corresponding to the state information based on a marketing strategy, wherein the marketing activity comprises a combination of a marketing channel, marketing content, and a marketing time period; obtaining a reward score of the execution environment for the marketing activity; and updating the marketing strategy based on the reward score.