This is really funny. A less extreme example is how much domain-specific terminology in Reinforcement Learning and Control Theory/Model Predictive Control refer to the same underlying phenomena, but we must translate between the two. I understand there are many unique concepts as well, but it would be so helpful if the overlap here used the same terminology and notation.
I still get IEEE Trans. on Control Theory, and it's all machine learning now. Except that the controls people are desperately trying to solidify the underpinnings of machine learning, so that control systems don't suddenly misbehave for some sets of inputs. Controls people want a guarantee that if it does something reasonable for inputs of 5.1 and 5.2, it doesn't do something completely unexpected for an input of 5.15.
Reminds me of my favorite abstract, from John Doyle's paper "Guaranteed Margins for LQG Regulators".