That’s what we want our brain-computer interfaces to accomplish. The goal is for the software to work in concert with the brain and adapt as quickly as the brain does. To achieve this, we’re using reinforcement learning, a process by which we, as humans, evaluate the outcomes of our actions based on feedback both tangible (some physical reward) and intangible (a sense of accomplishment). Our brains use this knowledge to guide us through life, and a simple version has been implemented in AI. It was through reinforcement learning that a computer taught itself to master the Atari game “Breakout.” By reviewing its actions, it adjusted its performance to accomplish its preprogrammed goal: achieve the highest score possible.

https://www.wsj.com/articles/the-key-to-smarter-ai-copy-the-brain-1523369923