Reinforcement learning with reward machines enables sleep control in mobile networks that accounts for history-dependent, time-averaged quality of service constraints.
Power minimization for age of information constrained dynamic control in wireless sensor networks
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Reinforcement Learning with Reward Machines for Sleep Control in Mobile Networks
Reinforcement learning with reward machines enables sleep control in mobile networks that accounts for history-dependent, time-averaged quality of service constraints.