sdlee94/Minesweeper-AI-Reinforcement-Learning

Minesweeper Solver Using Artificial Intelligence (Reinforcement Learning)

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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.

No commits in the last 6 months.

Use this if you are curious about how artificial intelligence can learn complex game strategies solely by experiencing outcomes and receiving rewards.

Not ideal if you are looking for a practical, ready-to-use tool to automatically solve Minesweeper for everyday play.

game-AI reinforcement-learning-demonstration AI-education game-strategy-learning Minesweeper
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 8 / 25
Maturity 8 / 25
Community 19 / 25

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Stars

43

Forks

18

Language

Python

License

Category

game-solver-ai

Last pushed

Oct 16, 2020

Commits (30d)

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