Provided are processes that include: obtaining, with a computer system, a time-series machine learning model trained to influence the actions of an agent; selecting, with the computer system, with the time-series machine learning model, stimuli to drive the agent to engage in a targeted activity; causing, with the computer system, the stimuli to be presented to the agent; obtaining, with the computer system, feedback indicative of whether the agent engaged in the targeted activity; adjusting, with the computer system, parameters of the time-series machine learning based on the feedback; and storing, with the computer system, the adjusted parameters in memory.
DRIVING STOCHASTIC AGENTS TO ENGAGE IN TARGETED ACTIONS WITH TIME-SERIES MACHINE LEARNING MODELS UPDATED WITH ACTIVE LEARNING