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Author
Last Commit
Dec. 14, 2017
Created
Jan. 13, 2017


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

  1. Python 3.5
  2. Tensorflow 1.0.0
  3. Keras
  4. numpy
  5. pandas
  6. matplot
  7. pillow
  8. Skimage
  9. 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

OpenAI GYM - [WIP]

  • Mountain Car - DQN