Minesweeperﾠ vs Minesweeper ~

- No ads, ever! - Universal app: one purchase to play on iPhone, iPad, & Mac - Auto-Complete to quickly finish the game - Statistics to keep track of your performance - First reveal of each game will always be safe - Tap and hold to quickly flag a space Personalize your game in Settings - Choose from four difficulty settings and four grid sizes - Switch to a dynamically sized grid to fill the screen - Zoom and scroll through the grid - More amazing features coming soon! Native iOS Design - Supports all devices and orientations - Dark Mode enabled - Split View and Slide Over compatible - Keyboard shortcuts for most actions Privacy Policy: crawbuck.com/privacy Terms of Use: crawbuck.com/terms

Classic minesweeper game, redefined by AI. Our minesweeper game is one of its own kind in the market. We leverage AI technology to achieve various improvement on top of the classic minesweeper game. - Exercise your brain and logic reasoning skills - 4 difficulty options - Fun experiences to unlock and daily rewards to claim. - Classic minesweeper redefined by AI * Redefined by AI * 1. Model the minesweeper game as a Constraint Satisfaction Problem (CSP) [a] 2. Precompute the heuristic score for each valid move using multiple state-of-the-art algorithms [b], to yield a stack rank of 10 (or less) best moves. 3. Based on the heuristic difference between the optimal move and the actual move by the user, we use our pre-defined probability (non-uniform distribution) to control the mine position (by ad-hoc switching cells on the board). 4. At the end of the game, further tune the mine-switching probability using win/lose ratio as an input [c], to ensure a custom tailored gaming experience that’s challenging but not frustrating. References: [a] https://inst.eecs.berkeley.edu/~cs188/fa18/assets/slides/lec4/FA18_cs188_lecture4_CSPs_6pp.pdf [b] https://dash.harvard.edu/bitstream/handle/1/14398552/BECERRA-SENIORTHESIS-2015.pdf?sequence=1 [c] https://en.wikipedia.org/wiki/Reinforcement_learning