Latest Version
Version
9.2
9.2
Update
June 19, 2024
June 19, 2024
Developer
A classic puzzle game
A classic puzzle game
Categories
Games
Games
Platforms
iOS
iOS
File Size
46.8 MB
46.8 MB
Downloads
0
0
License
Free
Free
Report
Report a Problem
Report a Problem
More About Minesweeper ~
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
- 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
Rate the App
Add Comment & Review
User Reviews
Based on 0 reviews
No reviews added yet.
Comments will not be approved to be posted if they are SPAM, abusive, off-topic, use profanity, contain a personal attack, or promote hate of any kind.
More »
Popular Apps
Viking Clan: RagnarokKano Games
Submarine Car Diving SimulatorSwim with dolphins & penguins
Govee LiteGovee
FastRay Fast VPN Proxy SecureFast VPN Proxy Vless & Vmess
Union VPN - Secure VPN ProxyPureBrowser
Build World AdventureExplore city in cube world
VPN Hotspot Shield Proxy 2023SwaharApps
Oxy Proxy ManagerOxylabs.io
Zoom - One Platform to Connectzoom.us
World War Heroes — WW2 PvP FPSAzur Interactive Games Limited
More »
Editor's Choice
Grim Soul: Dark Survival RPGBrickworks Games Ltd
Craft of Survival - Gladiators101XP LIMITED
Last Shelter: SurvivalLong Tech Network Limited
Dawn of Zombies: Survival GameRoyal Ark
Merge Survival : WastelandStickyHands Inc.
AoD Vikings: Valhalla GameRoboBot Studio
Viking Clan: RagnarokKano Games
Vikings: War of ClansPlarium LLC
Asphalt 9: LegendsGameloft SE
Modern Tanks: War Tank GamesXDEVS LTD