minesweeper and Minesweeper-AI-Reinforcement-Learning

These are competitors offering alternative AI approaches to minesweeper solving—one using classical AI methods and the other using reinforcement learning—so a user would select based on their preferred algorithmic paradigm rather than using both together.

Maintenance 0/25
Adoption 5/25
Maturity 16/25
Community 17/25
Maintenance 0/25
Adoption 8/25
Maturity 8/25
Community 19/25
Stars: 9
Forks: 11
Downloads:
Commits (30d): 0
Language: Python
License: MIT
Stars: 43
Forks: 18
Downloads:
Commits (30d): 0
Language: Python
License:
Stale 6m No Package No Dependents
No License Stale 6m No Package No Dependents

About minesweeper

krvaibhaw/minesweeper

Artificial Intelligence playing minesweeper 🤖

This project offers an artificial intelligence that plays the classic game of Minesweeper. It takes the current game board as input and determines the optimal next move, aiming to clear the board without hitting any hidden mines. This tool is for anyone interested in observing an AI strategy for puzzle games or looking to understand basic AI decision-making in a visual context.

game-AI puzzle-solving strategy-games AI-demonstration educational-AI

About Minesweeper-AI-Reinforcement-Learning

sdlee94/Minesweeper-AI-Reinforcement-Learning

Minesweeper Solver Using Artificial Intelligence (Reinforcement Learning)

This project explores how a computer can learn to play and win the classic game Minesweeper through trial and error, without being explicitly programmed with the game's rules. It takes the game state as input and outputs the next optimal move. Anyone interested in observing how a machine learning model, specifically a reinforcement learning agent, can acquire game-playing skills from scratch would find this relevant.

game-AI reinforcement-learning-demonstration AI-education game-strategy-learning Minesweeper

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