Representation Learning

Overlooked Implications of the Reconstruction Loss for VAE Disentanglement
Learning disentangled representations with variational autoencoders (VAEs) is often attributed to the regularisation component of the …
Nathan Michlo, Richard Klein, Steven James
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Accounting for the Sequential Nature of States to Learn Representations in Reinforcement Learning
In this work, we investigate the properties of data that cause popular representation learning approaches to fail. In particular, we …
Nathan Michlo, Devon Jarvis, Richard Klein, Steven James
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