jonhare / friendly-octo-waddle

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friendly-octo-waddle

Things we need to decide on as a group:

  1. What the project is going to be about

    • Connect-4 with an AI trained using Reinforcement Learning (RL).
    • Want to support HvH AIvH & AIvAI
  2. What programming language we're gonna use

    • Python, probably a simple command-line interface to start
  3. Plan out the initial tasks

    • Crash course in Python!
    • Develop logic for the game, inc HvH mode
      • User interface
      • Logic to determine rules (valid moves, winning conditions, stalemate/end-game, positioning tokens)
      • Design the game "model" (the implementation of the game state)
    • Introduce the ideas behind simple RL, including state-action spaces (Q-tables) & Q-Learning
    • Implement agent using Q-Learning
      • TODO: define steps
  4. Structure

    • Need an interface to customize the game
    • Print the game board
    • Players need to play the game
    • allow for different player types
    • different game modes (e.g. player vs machine, player vs player)
    • Get input from the players
    • Place the piece in the board
    • check if the move was valid.
    • Decide what happens when the move is invalid.
    • check if the player wins

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