While the ML-Agents framework provides powerful capabilities for building AI agents for your games, it also provides automation for debugging and testing. The development of any complex software needs to be tied to extensive product testing and review by talented quality assurance teams. Testing every aspect, every possible combination, and every level can be extremely time-consuming and expensive. Therefore, in this chapter, we will look at using ML-Agents as an automated way to test a simple game. As we change or modify the game, our automated testing system can inform us of any issues or possible changes that may have broken the test. We can also take this further with ML-Agents, for instance, to evaluate training performance.
The following is a brief summary of what we will cover in this chapter:
- Introducing the game
- Setting up ML-Agents ...
