Which traditional RL methods do you mean, and what kind of comparison? If you mean they are returning to tabular Q-learning, then yes, sort of. They still use

Which traditional RL methods do you mean, and what kind of comparison? If you mean they are returning to tabular Q-learning, then yes, sort of. They still use function approximation (as required; tabular Q-learning stands no chance of generalising across states), but their function kind of looks like a table look up. A look up of the 50 closest values to some computed key though. It would be totally uninteresting to compare this with tabular Q-learning though.