Calculate the average over sum-of-rewards-perepisode


Problem

After you decide the training to be completed, run 50 test episodes using your trained policy, but with = 0.0 for all 50 episodes. Again, reset the environment at the beginning of each episode. Calculate the average over sum-of-rewards-perepisode (call this the Test-Average), and the standard deviation (the Test- StandardDeviation). These values indicate how your trained agent performs.

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Python Programming: Calculate the average over sum-of-rewards-perepisode
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