I'm using DQN to train multi-version of the same system and there is a small difference when I run them both separately. However, my result suddenly dropped in both versions if I run them both at the same time. I tried again but I got the same results with slightly different. Would it be affecting my results if I run multi-version of my system at the same time?
Is there any explanation for that and How can I get accurate results when I train multi-version of the same system at the same time?