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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?
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