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.

Included short description on how to use the reinforcement learning and how to convert overcooked-ai layouts.

Updated `gym_env.py` and `drawing.py` to use unique environment names (`env_name`) for caching purposes, leveraging UUIDs for better cache management. Revised render and image fetch methods to incorporate the unique environment identifier, ensuring accurate and efficient cache invalidation and retrieval.

Enhanced visualizer by adding cache flags for background and counters and a reduced background mode for optimization. Adjusted relevant methods across video replay, performance benchmark, gym environment, and GUI code to use the new caching logic.

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.

Changed layout converter path management to be callable outside of the main program with the current folder structure.

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.

All logs, videos, models and wandb data is stored in the logs folder which is included in the gitignore and will therefore not be pushed.

All logs, videos, models and wandb data is stored in the logs folder which is included in the gitignore and will therefore not be pushed.

This change updates the filename to better reflect its purpose. tryout_pearl.py serves as a test environment for the 'PEARL' reinforcement learning algorithm within the Cooperative Cuisine project.

This commit refactors the setup of recorders and hooks in several configuration files. It simplifies the YAML structure, renames "extra_setup_functions" to "hook_callbacks", and replaces "log_path" with "record_path". This makes the configurations cleaner and more intuitive. The update also removes the "func" and "kwargs" in the extra setup functions. Now only hooks are registered. This change should not affect functionality, because until now only hooks were registered as extra setup functions.

Various changes have been made in the codebase to improve readability and maintainability. Type hints have been added to the functions and variables for better understanding of the datatypes. Refactoring of some code segments has also been done to make the code more concise and readable. The 'EffectType', 'ItemType' enumerations have been enriched with docstrings for better understanding of the enums. Certain classes have been updated to better follow the single responsibility principle.

The ActionType.PUT has been replaced with ActionType.PICK_UP_DROP across all instances in the codebase. This change aligns the action name with its actual function, making the action more intuitive and the code easier to understand. This update also includes minor modifications in comments and function arguments to reflect the new action name.