five

Curling AI Decision Tree

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arXiv2025-09-30 收录
下载链接:
https://github.com/Linjunjie99/RL-LLM-DT
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资源简介:
该数据集包含了在冰壶游戏AI中使用的不同版本的决策树代码,这些代码通过迭代地应用强化学习和大型语言模型技术进行优化,以提高对抗不同对手的表现。此外,该数据集还展示了决策树AI针对不同对手的表现指标,并突出了大型语言模型在策略和编码方面所带来的改进。该数据集的规模涉及34个团队参与的冰壶AI评估,任务重点是提升冰壶游戏AI的决策树策略。

This dataset contains various versions of decision tree code utilized in curling game artificial intelligence (AI) systems. These codes are optimized through the iterative application of reinforcement learning and large language model (LLM) technologies to enhance performance against diverse opponents. Additionally, the dataset displays performance metrics of the decision tree-based AI when competing against different opponents, and highlights the improvements brought by LLMs in strategy formulation and code development. The dataset is derived from a curling AI evaluation involving 34 participating teams, with the core task focusing on advancing the decision tree strategies of curling game AI.
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