At first glance, RL appears more expensive and require orders of magnitude more training steps, however computer vision for object localization and classification may require larger and more fine-tuned architectures given the problems are a bit more mature.

Of the two, which would you say is more computationally demanding? Or is it a tie? Or is it the ever common “it depends” answer?