Cross-entropy method is like playing a game. In the game, you have different levels and you can choose different ways to reach each level. When you reach a new level, you get rewarded with points. The more points you get, the better you do in the game.
The cross-entropy method is a way to make sure that you get the most points in the game. It works by measuring how close you are to the optimal level, which is the level that gives you the most points. The game then uses randomness to explore other possible solutions to the game and compares them to the optimal level. The way it decides the best solution is by seeing how it improves the overall score. This means that the best solutions are ones that get the most points.
The cross-entropy method is used by computers to solve complex problems quickly and accurately. By using this method, computers can analyze a large amount of data points and come up with the best possible solution for a problem. This makes it really useful for many different applications.