An LLM-driven Hearthstone agent is developed using the Sabberstone framework to evaluate several models, including GPT-4o, GPT-4o-mini, o3-mini, and GPT-5-mini, across multiple decks and prompting strategies, and results indicate that all evaluated LLMs outperform the random baseline, and GPT-5-mini achieves win rates close to the strongest numerical agents under the evaluation setting.
Christian Poglitsch, Philipp Bardakji, Johanna Pirker· International Conference on...· 0 citations
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