Minesweeper ~ 9.2

Yi Zeng – Freeware – iOS
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Classic Minesweeper Game, Enhanced by AI

Our Minesweeper game offers a unique take on the classic version by incorporating cutting-edge AI technology. With a focus on enhancing the user experience, we have implemented various improvements.

<ul>
 <li>Challenge your brain and logic reasoning skills</li>
 <li>Choose from 4 difficulty options</li>
 <li>Unlock fun experiences and claim daily rewards</li>
</ul>

Enhancements by AI:

<ol>
 <li>We model the Minesweeper game as a Constraint Satisfaction Problem (CSP), utilizing advanced techniques to optimize gameplay <a href="https://inst.eecs.berkeley.edu/~cs188/fa18/assets/slides/lec4/FA18_cs188_lecture4_CSPs_6pp.pdf">[a]</a>.</li>
 <li>Multiple state-of-the-art algorithms are employed to precompute heuristic scores for each valid move, resulting in a ranked list of the top 10 (or fewer) moves <a href="https://dash.harvard.edu/bitstream/handle/1/14398552/BECERRA-SENIORTHESIS-2015.pdf?sequence=1">[b]</a>.</li>
 <li>By comparing the optimal move determined by the heuristic with the user's actual move, we use a predefined non-uniform distribution probability to control the placement of mines on the board, strategically altering cell positions <a href="https://en.wikipedia.org/wiki/Reinforcement_learning">[c]</a>.</li>
 <li>To provide a custom-tailored gaming experience that is both challenging and enjoyable, we further adjust the mine-switching probability based on win/loss ratios<a href="https://en.wikipedia.org/wiki/Reinforcement_learning">[c]</a>.</li>
</ol>

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