Abstract:In this paper we present a deep graph reinforcement learning model to predict and improve the user experience during a live video streaming event, orchestrated by an agent/tracker. We first formulate the user experience prediction problem as a classification task, accounting for the fact that most of the viewers at the beginning of an event have poor quality of experience due to lowbandwidth connections and limited interactions with the tracker. In our model we consider different factors that influence the qua… Show more
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