Minimal and clean examples of reinforcement learning algorithms presented by RLCode team. [한국어]

Maintainers - Woongwon, Youngmoo, Hyeokreal, Uiryeong, Keon

From the basics to deep reinforcement learning, this repo provides easy-to-read code examples. One file for each algorithm. Please feel free to create a Pull Request, or open an issue!

Dependencies

Python 3.5
Tensorflow 1.0.0
Keras
numpy
pandas
matplot
pillow
Skimage
h5py

Install Requirements

pip install -r requirements.txt

Table of Contents

Grid World - Mastering the basics of reinforcement learning in the simplified world called "Grid World"

CartPole - Applying deep reinforcement learning on basic Cartpole game.

Atari - Mastering Atari games with Deep Reinforcement Learning

Breakout - DQN, DDQN Dueling DDQN A3C
Pong - Policy Gradient

OpenAI GYM - [WIP]

Mountain Car - DQN