1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.LG2022
Accounting for the Sequential Nature of States to Learn Features for Reinforcement Learning
Nathan Michlo, Devon Jarvis, Richard Klein +1
In this work, we investigate the properties of data that cause popular representation learning approaches to fail. In particular, we find that in environments where states do not s…
cs.LG2022★ 1 cited
Overlooked Implications of the Reconstruction Loss for VAE Disentanglement
Nathan Michlo, Richard Klein, Steven James
Learning disentangled representations with variational autoencoders (VAEs) is often attributed to the regularisation component of the loss. In this work, we highlight the interacti…