This article discusses a new technique that allows AI agents to learn from the original instruction manual of a game, rather than through trial and error. This technique was tested on several classic video games, such as Pac-Man, Space Invaders, and Montezuma’s Revenge, and was found to be successful in teaching the AI agents the rules and objectives of the game quickly. In some cases, the AI achieved higher scores than human players. This technique has implications for AI and machine learning, as it could provide a more efficient way to train AI agents for video games and other applications.
