RL for modeling rodent behavior?

I’ve seen some pretty cool work using Q learning and HMMs to model rat behavior in some pretty complex behavioral paradigms, <e.g learning a contrast gradient with psychometric function etc…) but for very classical associative learning, are there any interesting approaches that one might use? What properties/parameters of conditioned learning, e.g. beyond learning rate might be interesting to try to pull out by fitting RLs?