InfoGAN: Interpretable Representation Learning by ...
classication, regression, visualization, and policy learning in reinforcement learning. While unsupervised learning is ill-posed because the relevant downstream tasks are unknown at training time, a disentangled representation , one which explicitly represents the salient attributes of a
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