This kind of unintended learning is something that all machine learning practitioners should be careful with. The example of the satellite photo analysis algori

This kind of unintended learning is something that all machine learning practitioners should be careful with. The example of the satellite photo analysis algorithm that turned out to have learned to classify difference between night and day photos comes to mind. This means that your particular reinforcement learning example needs something similar to regularization of cost functions or cross validation for checking for over or under fitting to correct these latency effects. It may be cheaper and more effective to use SSDs instead but the magnitude of the latency effects on your case are not clear either to determine if your algorithm would benefit substantially from a modern SSD.