10 citations · 16 across the 11 of their papers we have counts for
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cs.LG2018★ 2 cited
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…
cs.LG2018★ 10 cited
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…