Before revision:  ] In this paper, we address the problem of generating a compact representation of 2D-lidar scans  for reinforcement learning in navigation tasks.
After revision:  ] In this paper, we address the generation of a compact and information-rich state representation. In particular, we train a variational autoencoder for 2D-lidar scans for reinforcement learning in navigation tasks.