home/categories/machine-learning/ecnu-icalk-autoskill-skillbank-convskill-english-gpt4-8-glm4-7-minesweeper-prediction-and-solver-development-skill-md
machine-learningdata-ai
minesweeper-prediction-and-solver-development
Develop a Python-based Minesweeper prediction tool for a 5x5 grid using historical data to identify safe spots and mine locations. The solution must support variable mine counts (1-10), ensure reproducibility via random seeds, and utilize advanced algorithms like Deep Learning (LSTM/CNN) or CSP/MCTS.
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ECNU-ICALK
更新于 3/13/2026
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quick start
Installation and usage
Develop a Python-based Minesweeper prediction tool for a 5x5 grid using historical data to identify safe spots and mine locations. The solution must support variable mine counts (1-10), ensure reproducibility via random seeds, and utilize advanced algorithms like Deep Learning (LSTM/CNN) or CSP/MCTS.
安装
$ install --globalskills.sh
使用
安装后，您可以通过在终端运行以下命令来使用此技能：
skills use minesweeper-prediction-and-solver-development