# The latest trained models with tensorboard logs From this directory may be loaded but not automatically saved. Old models should only be replaced by new ones by hand. ## numercial observations Training with an environment (RoboSkate-v0) that has only the numerical observations as well as the optimal steering angle as input. Comparison with A2C, PPO and SAC. ## Segmentation ### Segmentation dim_2 - large FOV and trained with random crops - it learned path width and position!!!