DeepMind moves around the labyrinth via a reward-based method -- asynchronous reinforcement learning -- and a neural network that recognizes patterns in the digital space.

So it has come up with a technique called asynchronous reinforcement learning, which sees multiple versions of an AI tackling a problem in parallel and comparing their experiences.

To overcome this issue, DeepMind used a technique called asynchronous reinforcement learning, which involves multiple versions of an AI working together to tackle a problem and compare their ...

How it works The artificial intelligence relied on a technique called "reinforcement learning," which rewards the system for taking actions that improves its score.