The popular video game "Overcooked" is a great example of a task requiring complex planning and cooperation with other players. This game is used as the inspiration for an environment for evaluating AI, called "Overcooked-AI". This paper implements a centralized critic into the Overcooked-AI environment's implementation of the PPO algorithm and compares the results with the decentralized critic approach when it comes to cooperation with human-like agents and computational efficiency. \\

The centralized critic approach gives similar results compared to the decentralized critic approach, both in self-play and when playing with human-like agents. This is probably due to the decentralized critic approach already having full access to the entire observation space, and no hyperparameter tuning being done due to a lack of time.