Part 6/9:
The step toward deploying an actual reinforcement learning algorithm was executed efficiently, showcasing how machine learning principles could be integrated into the originally designed game.
Real-Time Testing and Adaptation
As the test progressed, the AI was observed generating effective gameplay strategies. At each iteration, the AI learned from its experiences, refining its approach based on feedback from the game environment. This adaptive learning is what kept the tester engaged; the combination of real-world application and intuitive AI responses provided an exciting dynamic.