<ul><li>Researchers have developed a Gomoku AI system based on Large Language Models (LLMs) to enhance strategic decision-making.</li><li>The system incorporates self-play and reinforcement learning to improve move selection and efficiency.</li><li>The AI system has been trained through 1,046 self-play games using a Deep Q-Network, resulting in improved strategic accuracy and gameplay durability.</li><li>Future improvements include combining multiple strategies, leveraging advanced reinforcement learning methods, and integrating vision-language models for enhanced performance.</li></ul>

Enhancing Strategic Decision-Making in Gomoku Using Large Language Models and Reinforcement Learning

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