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- 1Survey Maps Deep Reinforcement Learning for the Internet of Things▼AI Learns to Juggle the Internet of Things: Survey Maps Deep Reinforcement
A new survey examines how deep reinforcement learning is being applied to manage Internet of Things systems, where devices must constantly balance competing demands such as energy use, network traffic and resource allocation. By learning from trial and error, AI agents can adapt these decisions in ways fixed rules cannot. The review consolidates recent research and highlights both progress and open challenges in the field.