Patent ID: 11876877
Assignee: THE UNITED STATES OF AMERICA, AS REPRESENTED BY THE SECRETARY OF THE NAVY
Field: Digital communication (Electrical engineering)
Classification: CPC H | IPC G  H

Claim 5:
6. The computer-implemented method to actively manage dynamic networks of claim 1, wherein the reward (r) function for the deep reinforcement learning agent comprises a time interval (τ), a user-defined priority (kd), a C0 tuning parameter for a number of packets dequeued (C0), a plurality of weights (w), a packet arrival time variable (M), a C1 tuning parameter for penalizing the agent by its mean delay violations (C1) having a cap (k0Δn,d), a plurality of violations (v), a C2 tuning parameter for the number of packets marked by a CoDel policy (C2), a counter that tracks the number of packets marked by the CoDel policy (λ), wherein the reward function is determined by an equation:

r(τ+1)=Σd=1Dκd(C0wn,d(τ)Mn(τ)−C1 max{|vn,d(τ)|,k0Δn,d}−C2λn,d(τ)).