Minesweeper Q vs Minesweeper ~

Classic Minesweeper game for iOS. Standard game rules with best, smoothest, very fast interface. We will keep our best to improve this game, since we are also devotees of minesweeper ! Please free feel to provide your suggestion or bug report by mail. ****************************************************** Features ****************************************************** ◆ Easy to control (Drag scroll, Quick change mode, Quick open…etc) ◆ First tap luck ◆ Optional sound assist ◆ Highscore/Statistics data ◆ Game center support ◆ 8 appearance include classic style & shuffle ◆ 3 classic difficulty ◆ Fully configurable, board size & number of mines. ◆ Quick Overview ◆ Auto save ◆ Fast launch time ◆ Build in minesweeper help & Video tutorial ◆ iOS4 multi-tasking support ◆ Share with Twitter & Facebook ◆ Retina High resolution support ◆ 3D Touch support ******************************************************* How to control Minesweeper ******************************************************* Normal mode: - Tap a square to clear it. - Tap and hold to flagging. - Tap a numbered square next to that many flags to clear the rest.(Quick open) - Tap empty square to change control mode.(Quick change mode) Quick Flagging mode: - Tap a square to flagging. - Tap and hold to clear square. - Tap a numbered square next to that many flags to clear the rest.(Quick open) - Tap empty square to change control mode.(Quick change mode) ****************************************************** Minesweeper Q Support ****************************************************** Please follow us on twitter to get the latest Minesweeper Q news. Twitter: http://www.twitter.com/spicalibar WebSite: http://sites.google.com/site/stargazing2spica/ Mail: stargazing.spica@gmail.com

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