Teaching a World Model to Play Pokemon

The author discusses their attempt to train a World Model to play Pokémon games, utilizing the World Model's ability to reason about the game's environment and make decisions based on that reasoning. The World Model is a large language model that can be fine-tuned for a variety of tasks. The author used a combination of gameplay data and reinforcement learning to teach the model to play Pokémon games, with the goal of achieving a high level of proficiency. The model was able to successfully navigate the game's world, catch Pokémon, and battle opponents. The author notes that the World Model's ability to reason about the game's environment and make decisions based on that reasoning allowed it to perform well, even in situations where human players might struggle.