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Feedback-Driven Online Deep Reinforcement Learning for Hotspot Aware Adaptive Traffic Steering in Non-Stationary Networks
Modern communication networks increasingly operate under non-stationary traffic conditions, where busty traffic and flash crowds challenge traditional static rule-based network control mechanisms. Despite the fact that reinforcement learning has already been explored for network optimization, most existing methods rely...