Maximal entropy random walk

Maximal entropy random walk is a type of behavior that a computer program can follow. It's like when a person takes a walk in a park, for example. The computer program randomly chooses which direction to travel, like a person might randomly choose left or right at a certain spot in the park. The goal of the random walk is to move around and explore as much of the park as possible. The idea is that, by exploring an area, the computer can learn more about how it works, and can make better decisions in the future. The maximal entropy in this type of random walk means that the computer is trying to explore or visit every possible path it could take, like visiting every single corner of the park and every single potential turn. This way, the computer can learn more and can make better decisions in the future.