Abstract: Adaptive video streaming has become a fundamental technology for video delivery. With the rise of deep reinforcement learning (DRL), streaming vendors are increasingly adopting DRL-driven ...
Abstract: Modeling temporal dynamics in recommendation systems is essential for capturing drifts in user preferences over time, particularly under conditions of data sparsity and non-stationarity. In ...