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α_in

Open marnie007 opened this issue 5 years ago • 2 comments

In training step 1, we keep α_in= 0, while in training step 2, we keep α_in = 1. But in the paper , the experiment use different α_in from 0 to 1, what's the mean? Hope you can reply me, thank you.

marnie007 avatar May 07 '20 15:05 marnie007

Thank you for your attention. In training stage, we set α_in to 0 and 1 in the two training steps to establish the correspondence between control variables and optimization objectives. Therefore, during the test, we can change α_in from 0 to 1 to achieve continuous changes between the two states.

qibao77 avatar May 24 '20 11:05 qibao77

Thanks your reply. I know about it.

marnie007 avatar Jun 06 '20 02:06 marnie007