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Monte-Carlo roll-out about seqgan HOT 4 CLOSED

lantaoyu avatar lantaoyu commented on July 30, 2024
Monte-Carlo roll-out

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Comments (4)

eduOS avatar eduOS commented on July 30, 2024

I am wondering what you meant by "to process variable sequences in MC rollout"?

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WangWenshan avatar WangWenshan commented on July 30, 2024

Sequences do not always have the same length.
You can see Figure 1 in the paper (https://arxiv.org/abs/1612.00370)

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eduOS avatar eduOS commented on July 30, 2024

I think it is the same as that in generating the outputs while training the decoder, since when you calculate the loss you will mask out the tokens from the stop_token(you can add this) until the end of the sentence. The same applies to the roll-out, that is, when you work out the gan loss you will mask out the unnecessary tokens at the end of each sentence. As you can see in this line, the same lengths are reached for every sentence.

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WangWenshan avatar WangWenshan commented on July 30, 2024

Thanks

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