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Chelsea Finn shares paper on generative value classifiers: a new Q-function parameterization without action conditioning
Chelsea Finn
Chelsea Finn shared Alexander Swerdlow's paper, which proposes generative value classifiers, a way of parameterizing Q-functions that does not require action conditioning. The authors believe this type of method can be combined with large-scale pretrained policies and can learn and generalize better from richer output signals. The paper link is alexanderswerdlow.github.io/gvc/.
Part of the event: Generative Value Classifier: Q-function parameterization without action conditioning
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