A REINFORCE-based deep RL agent that allocates bandwidth and VMs to network slices outperforms equal slicing in simulated and trace-driven experiments, though the loss function is incompletely specified.
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Deep Reinforcement Learning for Network Slicing with Heterogeneous Resource Requirements and Time Varying Traffic Dynamics
A REINFORCE-based deep RL agent that allocates bandwidth and VMs to network slices outperforms equal slicing in simulated and trace-driven experiments, though the loss function is incompletely specified.