The parallelized evolution strategy that combines all of these features is summarized in the following pseudocode: 

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Parallelized Evolution Strategy
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Initialize parameters  on each worker
Initialize random seed on each worker

for  do:
    for  do:
        Sample 
        Evaluate individuals  and 

    Spread returns to each other worker

    for  do:
        Compute normalized rank  from the returns
        Reconstruct  from the random seeds of the other workers
         (maybe using Adam)

Now, all that remains is to implement this algorithm.