DIFFUSEARCH: Revolutionizing Chess AI with Implicit Search and Discrete Diffusion Modeling

Large Language Models (LLMs) have gained significant attention in AI research due to their impressive capabilities. However,  their limitation lies with long-term planning and complex problem-solving. While explicit search methods like Monte Carlo Tree Search (MCTS) have been employed to enhance decision-making in various AI systems, including chess engines and game-playing algorithms, they present challenges […]

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