Artificial Intelligence Ping-Pong

How to Install

Requirements

• Python version 3.7+

Installation Steps

• Step 1: Download or clone the repository

• Step 2: Create a virtual enviroment

  • Run the command: python -m venv venv
  • Activate the virtual enviroment, run command: venv\Scripts\activate
  • Install dependencies, run command: pip install -r requirements.txt

• Step 3: Run the game

  • Run the command: python main.py || you'll have a Q-learning agent on the left racket and a SARSA agent on the right racket
  • Run the command: python main.py -q || you'll have a Q-learning agent on both racket
  • Run the command: python main.py -sarsa || you'll have a SARSA agent on both racket

Train a model

• Step 1: Choose type of the model

  • Consider file learning_q_sarsa.py if you want train a model with a Q-learning agent and a SARSA agent
  • Consider file learning_q.py if you want train a model with two Q-learning agents
  • Consider file learning_sarsa.py if you want train a model with SARSA agents

• Step 2: Execute training of the model

  • In learning file you can setup hyper-parameters(alpha, gamma and epsilon values), game speed, number of episodes and other configurations
  • Execute your leaning file choosed in step 1, ex. run command: python learning_q_sarsa.py

• Step 3: Load your model and play the game

  • Run the command: python main.py || if you choose learning_q_sarsa.py file
  • Run the command: python main.py -q || if you choose learning_q.py file
  • Run the command: python main.py -sarsa || if you choose learning_sarsa.py file