Minimal and clean examples of reinforcement learning algorithms presented by RLCode team. [한국어]
From the most basic algorithms to the more recent ones categorized as 'deep reinforcement learning', the examples are easy to read with comments. Please feel free to create a Pull Request, or open an issue.!
- Python 3.5
- Tensorflow 1.0.0
- Keras
- numpy
- pandas
- matplot
pip install -r requirements.txt
Code 1 - Mastering the basics of reinforcement learning in the simplified world called "Grid World"
Code 2 - Applying deep reinforcement learning on basic Cartpole game.
Code 3 - Mastering Atari games with Deep Reinforcement Learning