Comments (2)
Maybe they found out that it works better with the original GAN loss since they also change it in their new ASE paper
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It looks like they train all networks (discriminator, ppo) together?, at the same rate (single optimizer and combined loss). Both in AMP and ASE. Any idea why that is done? In both papers' pseudocode, they seem to suggest this is done separately.
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