Pong

Pong is one of the earliest arcade video games. It is a table tennis sports game featuring simple two-dimensional graphics. The game was originally manufactured by Atari, which released it in 1972. Allan Alcorn created Pong as a training exercise assigned to him by Atari co-founder Nolan Bushnell.

Introduction

This is the implementation of training a RL agent to play the mighty game of Pong.

Requirements

In order to train a RL agent to play the mighty game of Pong, you need to run it on Python3 and install:

1. gym

pip install gym

2. gym atari

pip install "gym[atari]"

3. numpy

pip install numpy

Train RL agent

Run this command on your terminal

python pong.py

Arguments :
-l, --load <pkl_path> #path to the saved model to load from
-s, --save <folder_path> #path to the folder to save model
-r, --render #whether to render the environment or not

Authors

1. Faza Fahleraz https://github.com/ffahleraz
2. Nicholas Rianto Putra https://github.com/nicholaz99
3. Abram Perdanaputra https://github.com/abrampers

Words from Authors

Thanks to Andrej Karpathy for his amazing blogpost about Deep Reinforcement Learning: Pong from Pixels.

"It shouldn’t work, but amusingly we live in a universe where it does" - Andrej Karpathy

References

• Deep Reinforcement Learning: Pong from Pixels
• 220 Logistic Regression
• CS231n Convolutional Neural Networks for Visual Recognition
• Lecture 14 | Deep Reinforcement Learning
• TensorFlow and deep reinforcement learning, without a PhD (Google I/O '18)