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Q-Learning with Differential Entropy of Q-Tables
It is well-known that information loss can occur in the classic and simple Q-learning algorithm.
Towards Interpretable ANNs: An Exact Transformation to Multi-Class Multivariate Decision Trees
While the EC-DT translates an ANN in a layer-wise manner to represent exactly the decision boundaries implicitly learned by the hidden layers of the network, the Extended C-Net combines the decompositional approach from EC-DT with a C5 tree learning algorithm to form decision rules.
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