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Autonomous agents need large repertoires of skills to act reasonably on new tasks that they have not seen before.
Learning latent plans from play
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End-to-end training of deep visuomotor policies
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Neural expectation maximization
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Variational autoencoders pursue pca directions (by accident)
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Unsupervised control through non-parametric discriminative rewards
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A simple framework for contrastive learning of visual representations
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