Researchers have used the classic video game Space Invaders to train a deep neural network using a type of reinforcement learning called Deep Q-Learning. The model learns to play the game by predicting the expected return or reward for each possible action in a given state. The researchers claim that their approach outperforms other methods and can be applied to more complex games. --- Why it matters: This matters because it shows how deep learning techniques can be used to solve complex tasks, such as playing video games, which have real-world applications in areas like robotics and autonomous systems. Source: https://huggingface.co/blog/deep-rl-dqn