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!
- Python 3.5
- Tensorflow 1.0.0
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
OpenAI GYM - [WIP]