Adapted gym env to only del a visualizer if the environment name is in the dictionary, as this is not the case during intialization of the rl env.

Adapted LayoutConverter to not be integrated in gym_env.py but to be called seperately with a command line argument. Additionally, all layouts are now stored in the config/layouts folder and no layout files with a different format are stored within our project.

Transferring the layouts and creating the configs. Additionally, enabling the choice of random or determinstic order generation in the configs.

Inference uses the same configs as the training and instantiates the model load function from the configs.

Fixed a bug with the training configs.