DeepMind has also applied similar techniques to other games, including video games. They have developed AI agents capable of playing video games like StarCraft II and Dota 2 at a high level, demonstrating the ability of their algorithms to learn and adapt in complex, dynamic environments.

The use of game-playing environments allows DeepMind to develop and test AI algorithms that can handle uncertainty, make decisions in real-time, and adapt to changing conditions. These skills have broader applications beyond games, such as in healthcare, robotics, and optimization problems.

It's worth noting that DeepMind's work in AI and game-playing has paved the way for advancements in reinforcement learning, which is a type of machine learning that's used in various domains, not just games. This research has had a significant impact on the field of artificial intelligence and has practical applications in solving complex real-world problems.