A multi-armed bandit is an algorithm that decides how to split traffic across several variations while a test is still running, shifting more visitors toward whichever option is performing best. Instead of holding an even split until a fixed sample size is reached, a bandit continuously realloca...
Source: [Dev.to](https://dev.to/david_sert/multi-armed-bandit-testing-how-it-works-and-when-to-use-1ldd)