A multi-UAV system uses a soft actor-critic agent paired with a two-phase matching rule to jointly optimize UAV movement, user transmit power, and user association for simultaneous mobile edge computing and data collection.
Resource management and reflection optimization for intelligent reflecting surface assisted multi-access edge computing using deep reinforcement learning,
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UAV-assisted Joint Mobile Edge Computing and Data Collection via Matching-enabled Deep Reinforcement Learning
A multi-UAV system uses a soft actor-critic agent paired with a two-phase matching rule to jointly optimize UAV movement, user transmit power, and user association for simultaneous mobile edge computing and data collection.