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
pip install -r requirements.txt
Table of Contents
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.
- Deep Q Network
- Double Deep Q Network
- Dueling Deep Q Network
- Policy Gradient
- Actor Critic
- Asynchronous Advantage Actor Critic (A3C) - WIP
Code 3 - Mastering Atari games with Deep Reinforcement Learning