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Found 3 papers, 1 papers with code
Distilling Deep RL Models Into Interpretable Neuro-Fuzzy Systems
In this work, we present an algorithm to distill the policy from a deep Q-network into a compact neuro-fuzzy controller.
PDD-SHAP: Fast Approximations for Shapley Values using Functional Decomposition
Because of their strong theoretical properties, Shapley values have become very popular as a way to explain predictions made by black box models.
Evaluating Feature Attribution Methods in the Image Domain
Feature attribution maps are a popular approach to highlight the most important pixels in an image for a given prediction of a model.
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