This program is a clone for the classic Pong game. With a CLI activation, the user has the option of playing against another user, a specialized AI agent or a basic computer player that follows the ball. Currently, the only agent is a Q-learning AI. Further plans include additional agents that use other various decision-making structures, such as a neural network or a Markov decision process.
With Git, Python, and Poetry installed, simply run the following command to get the project on your machine.
git clone https://github.com/dawsonbooth/pong-aiThe game may additionally run slowly on macOS as opposed to a Windows PC. Solutions to this are not well documented, and given the scope of the project a PC may be better suited for the program anyway.
This is a command-line program. The main file, pong.py can be executed as follows:
python pong.py [-h] [-a1 [{player,basic,q-learning}]] [-a2 [{player,basic,q-learning}]]Optional arguments:
-h, --help Show the help message and exit
-a1, --agent1 {player,basic,q-learning}
Type of agent for the left paddle
-a2, --agent2 {player,basic,q-learning}
Type of agent for the right paddle
This software is released under the terms of MIT license.