To combat the formidable AI agents in games, players and researchers have developed strategies to block guidelines. Randomization introduces unpredictability, making it harder for AI to predict moves. Neutral networks can mimic human behaviour, confusing AI algorithms. Adversarial training involves exposing AI to modified or distorted inputs, improving its robustness against non-traditional strategies.
