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A game of tictactoe playing against an ML Agent built on dojo inside PixeLAW.

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Tic Tac Toe in PixeLAW with ML Bot

Welcome to the Tic Tac Toe game integrated into the PixeLAW world, where you can challenge an ML bot to a game of Tic Tac Toe!

How to Play

  1. Accessing the Game

    • Access the PixeLAW platform to play the game.
    • Ensure you have an account or access to the PixeLAW world where the game is hosted.
  2. Starting the Game

    • Locate the Tic Tac Toe game within the PixeLAW world. It should be represented as a grid of pixels.
  3. Game Interface

    • Interact with the game interface provided within PixeLAW to make your moves.
    • The grid represents the Tic Tac Toe board, and you'll choose your moves by selecting grid positions.
  4. Playing Against the ML Bot

    • Start a game against the ML bot by initiating the game through the interface.
    • The ML bot will be making its moves based on its predictions and analysis of the game board.
  5. Making Moves

    • You'll make your moves by selecting an available cell on the grid to place your 'X.'
    • The ML bot will respond with its 'O' move after your turn.
  6. Game Progression

    • The game will proceed turn by turn until one player achieves a winning pattern or the board fills up (resulting in a draw).
  7. Ending the Game

    • The game will declare a winner or a draw at the end based on the game outcome.

Technical Details

  • ML Bot Integration

    • The ML bot runs its inference on-chain and interacts with the game contract within PixeLAW.
    • The bot's moves are determined based on its analysis and predictions using an on-chain machine learning model.
  • Contract Interaction

    • The game contract interacts with the core of PixeLAW, changing the state of the world visualized within PixeLAW based on the moves made during the game.

Getting Started (For Developers/Contributors)

  • To contribute or understand the technical aspects:

    • Access the game's code repository or development environment.
    • Explore the integration of the ML model, game contract, and PixeLAW core.
  • Understanding the PixeLAW Environment:

    • Familiarize yourself with PixeLAW's grid-based representation and interaction mechanisms.

Notes

  • This game serves as a demonstration of integrating machine learning within PixeLAW and exploring interactions within decentralized environments.

  • Feel free to explore, contribute, or adapt this project for learning or development purposes.

Enjoy playing Tic Tac Toe against the ML bot within the immersive PixeLAW world! 🎮✨

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A game of tictactoe playing against an ML Agent built on dojo inside PixeLAW.

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