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earlier slide um where instead of just trying to increase the probability of the good actions you actually differentiate your loss with respect to
the actions um this is like the reparameterization trick which is used um for um like for density modeling and unsupervised learning
um so uh here you're trying to instead of just increasing the probability of the good actions you're trying to push the actions towards better
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