Modern computer games often use artificial intelligence (AI) algorithms to control certain elements of the game. This is particularly relevant in genres where decision-making is made over and over again in a single session, such as when playing strategy games.
The author of this video used the StarCraft II API client for Python 3. This library contains functions created specifically for programmers developing StarCraft II programs.
It is very difficult to match a capable machine learning algorithm. But what if we created another algorithm to compete with the original algorithm created by the game developers?
Bots – or automatic player agents – are nothing new and they have existed since the dawn of video games. But in the past, they were created using a hard-coded logic. What’s the difference when their functionality is enhanced using AI?
The following video shows an experiment in which a machine learning bot was built with the aim of defeating StarCraft 2. This is not an easy task, of course, but a very interesting experiment and well documented. presented here may be useful to those who want to learn the principles of Artificial Intelligence in a fun and intuitive way:
