Reinforcement Learning with Policy Mixture Model for Temporal Point Processes Clustering

Weichang Wu, Junchi Yan, Xiaokang Yang +1

Temporal point process is an expressive tool for modeling event sequences over time. In this paper, we take a reinforcement learning view whereby the observed sequences are assumed…