A Stochastic Differential Equation Framework for Guiding Online User Activities in Closed Loop

Understand

Recently, there is a surge of interest in using point processes to model continuous-time user activities.

• This framework has resulted in novel models and improved performance in diverse applications.
• However, most previous works focus on the "open loop" setting where learned models are used for predictive tasks.
• Typically, we are interested in the "closed loop" setting where a policy needs to be learned to incorporate user feedbacks and guide user activities to desirable states.