Could someone clear my doubt on the loss function used in SeqGAN paper . The paper uses policy gradient method to train the generator which is a recurrent neural network here.

  1. Have I interpreted the terms correctly?
  2. What are we summing over? The entire vocabulary of words?

Loss function - my interpretation: enter image description here

  • $\begingroup$ Try to ask a more specific question and simplify the post. In that way, I think you will attract more people and potentially someone that attempts to answer your question. If you have multiple questions, I suggest that you create 1 post for each of the questions (even if they are related) for the simple reason that simplicity/clarity often attracts more people. $\endgroup$
    – nbro
    Oct 31 '20 at 15:09
  • 1
    $\begingroup$ @nbro Thanks for the suggestion. I removed the excess questions because my core doubt is what the term under the summation indicates $\endgroup$
    – Mathav Raj
    Nov 6 '20 at 17:46

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