Demo

https://youtu.be/39H-E1_DKsw?si=hVRmKHFsBniJ1NSz

Nim AI Game

This Python project implements a game of Nim along with an AI player that uses Q-learning to learn and play the game effectively. The game involves removing items from piles, and the player who removes the last item loses.

How to Play

1. Clone the repository:

   git clone https://github.com/AKKI0511/Nim-Game-AI.git
   cd Nim-Game-AI

2. Run the game:

   python play.py

   Follow the on-screen instructions to play against the AI.

Game Rules

• Each game board has several piles of items (initially [1, 3, 5, 7]).
• Players take turns removing items from one pile on their turn.
• The player who removes the last item loses the game.

Classes

Nim

• Represents the Nim game.
• Tracks game state, player turns, and the winner.
• Provides methods for making moves and checking available actions.

NimAI

• Implements an AI player using Q-learning.
• Learns to play the game effectively by updating Q-values based on rewards.
• Chooses actions strategically based on learned Q-values.

Functions

• train(n): Train the AI by playing n games against itself.
• play(ai, human_player=None): Play a game against the AI as a human player.

Acknowledgements

This project uses Q-learning, a popular reinforcement learning technique, to train the AI for playing Nim effectively.

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