10 citations · 16 across the 11 of their papers we have counts for
4 papers · 1 filter
Disentangled Representation Learning through Unsupervised Symmetry Group Discovery
Barthélémy Dang-Nhu, Louis Annabi, Sylvain Argentieri
Symmetry-based disentangled representation learning leverages the group structure of environment transformations to uncover the latent factors of variation. Prior approaches to sym…
On the Relationship Between Variational Inference and Auto-Associative Memory
Louis Annabi, Alexandre Pitti, Mathias Quoy
In this article, we propose a variational inference formulation of auto-associative memories, allowing us to combine perceptual inference and memory retrieval into the same mathema…
State representation learning with recurrent capsule networks
Louis Annabi, Michael Garcia Ortiz
Unsupervised learning of compact and relevant state representations has been proved very useful at solving complex reinforcement learning tasks. In this paper, we propose a recurre…
Flatland: a Lightweight First-Person 2-D Environment for Reinforcement Learning
Hugo Caselles-Dupré, Louis Annabi, Oksana Hagen +2
Flatland is a simple, lightweight environment for fast prototyping and testing of reinforcement learning agents. It is of lower complexity compared to similar 3D platforms (e.g. De…