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https://github.com/savka777/alpha-board

A Collection of AI Algorithms Beating Board Games
https://github.com/savka777/alpha-board

a a-star-algorithm ai game hueristics-function minimax-algorithm

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A Collection of AI Algorithms Beating Board Games

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README

          

# AI Game Agents Collection

Welcome to the **AI Game Agents Collection** repository! This project brings together AI implementations for various classic games, including Tic-Tac-Toe, Sliding Puzzles, and logic-based challenges. Each AI is designed to play optimally using algorithms such as Minimax, heuristics, and search-based techniques.

## Included AI Game Agents

### Tic-Tac-Toe Variants
- [5x5 Tic-Tac-Toe AI](https://github.com/savka777/5x5-Tic-Tac-Toe) – A larger board variation with enhanced AI strategies.
- [3x3 Tic-Tac-Toe with Minimax](https://github.com/savka777/3x3-Tic-Tac-Toe-Minimax) – Classic Tic-Tac-Toe solved using the Minimax algorithm.

### Puzzle Games
- [8-Piece Sliding Puzzle Solver](https://github.com/savka777/8-Piece-Sliding-Puzzle) – AI solver for the classic sliding puzzle game.

### Logic-Based Challenges
- [Corn, Goose, and Fox Problem](https://github.com/savka777/Corn-Goose-Fox-Problem) – AI solution to the famous river-crossing puzzle.

## Getting Started
Each game agent is housed in its respective repository. Click on the links above to explore their implementations, AI strategies, and how to run them.

## Contributions
Feel free to contribute by improving existing agents or adding new AI-based games! Fork the repo, make changes, and submit a pull request.

## License
This project is licensed under the MIT License.