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 4:
5. The computer-implemented method to actively manage dynamic networks of claim 1, wherein the deep reinforcement learning agent comprises a expectation (Eπ), a time interval (τ), a plurality of feasible policies (π), a set of feasible policies (Π), a discount factor (γ), a reward (r), a trajectory (s, a), an entropy of the actions H(π(·|s(τ) )), and a parameter controlling the level of surprise (α>0), wherein the deep reinforcement learning agent maximizes rewards according to a following equation:, max
       
   
   
    π
    ∈
    Π
   
  
  ⁢
  
   
    
     𝔼
     π
    
    [
    
     
      
       ∑
       
        τ
        =
        0
       
       ∞
      
      
       
        γ
        τ
       
       ⁢
       
        r
        ⁡
        (
        
         
          s
          τ
         
         ,
         
          a
          τ
         
        
        )
       
      
     
     +
     
      α
            
       (
       
        π
        ⁡
        (
        
         ·
         
          
           ❘
           "\[LeftBracketingBar]"
          
          
           S
           
            (
            τ
            )
           
          
         
        
        )
       
       )
      
     
    
    ]
   
   .