This will probably be my last devlog before the ship. I have overhauled the manager to include feature engineering, which should help the model make connections much faster. It now receives choice shifts, match outcomes and overall move frequencies instead of just the history of past rounds. Changed the algorithm to predict the user’s next move instead of the counter. This makes it easier to understand how it was thinking that you would act. It still returns the counter to the player move tho. Also changed back from the probability weighted selection method to the epsilon greedy strategy (highest probability move is chosen 90% of the time and 10% is random). The only thing left is to tweak all the values until I am satisfied with the result and then off it goes into the sea.