A MAML-initialized deep Q-network for a UAV collecting IoT data adapts faster to new age-of-information and power objectives than a randomly initialized DQN baseline in simulations.
A perspective on time toward wireless 6G,
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Age and Power Minimization via Meta-Deep Reinforcement Learning in UAV Networks
A MAML-initialized deep Q-network for a UAV collecting IoT data adapts faster to new age-of-information and power objectives than a randomly initialized DQN baseline in simulations.