Connections between Relational Event Model and Inverse Reinforcement Learning for Characterizing Group Interaction Sequences

19 Oct 2020 Congyu Wu

In this paper we explore previously unidentified connections between relational event model (REM) from the field of network science and inverse reinforcement learning (IRL) from the field of machine learning with respect to their ability to characterize sequences of directed social interaction events in group settings. REM is a conventional approach to tackle such a problem whereas the application of IRL is a largely unbeaten path... (read more)

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