FlorianWoelki / pong-rl

An reinforcement learning agent learning to play the ATARI game pong.

pong-rl

This repository contains the code for the Pong RL project. The goal of this project is to train an agent to play the game of Pong using reinforcement learning. The agent is trained using the (REINFORCE)[https://link.springer.com/content/pdf/10.1007/BF00992696.pdf] algorithm.

Installation

To install the required packages, run the following command:

pip install -r requirements.txt

Usage

To train the agent, run the following command:

python main.py

To generate a gif of the agent playing, run the following command:

python main.py -m animation

To see the agent play, run the following command:

python main.py -m render