Research indicates that large language models (LLMs) are often ascribed human-like attributes such as morality and understanding of natural language. The comparison extends to Age of Empires II, suggesting that both LLMs and the game exhibit similar anthropomorphic characteristics.

Chess engines like AlphaZero and lc0 use reinforcement learning by having the engine play itself multiple times to train the model on game outcomes. A combination of a weaker model and strong search capabilities can outperform a stronger model alone, as the search can significantly enhance performance.