OpenAI's New Bot was Trained to Play Minecraft Using Over 70,000-Hours of Gameplay Footage - TechEBlog

OpenAI wanted to advance artificial intelligence (AI) and machine learning research in a more creative way, so they trained their new bot to play Minecraft using over 70,000 hours of gameplay footage from YouTube. The bot utilized the gameplay actions and tutorials to learn how to execute complex in-game sequences that would take a normal player around 24,000 individual actions to accomplish. Their behavioral cloning model accomplished many tasks including learning how to chop down trees to collect logs and then craft those into planks. This sequence would typically take a human Minecraft player approximately 50 seconds or 1,000 consecutive game actions. Additionally, the model performs other complex skills humans often do in the game, such as swimming, hunting animals for food, and eating that food.