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From a paper by Williams, I know in general how to backpropagate log-probabilities of chosen actions when applying the REINFORCE weight update rule.

However, I was wondering about a case not being covered in the aforementioned paper:

I am wondering how to define the so-called characteristic eligibility, when working with a Categorical/Multinomial distribution for sampling actions.

Does anyone know how this works or (even) knows a paper stating the update rule in question?

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