How to combine two differently scaled, but equally important "running" signals into a reward function?
Using z-normalisation ensures that they have same mean and Standard Deviation, but ofcourse values will be still different since mean and Standard Deviation depend on the Distribution of the data.
Alternative is to use feature scaling, where you force the values between 0 and 1 for both signals.