hunkim/ReinforcementZeroToAll

Reinforcement Zero to All

This is work in progress and it may have bugs. However, we call for your comments and pull requests.

We emphasize on the following:

• Readiability over anything else
  • That's why we choose Python
• Pythonic code
  • PEP8
  • Docstring
• Use High Level Tensorflow API
  • Cleaner and easier to understand
• KISS
  • Keep It Simple Stupid

Lecture videos

• Youtube

File naming rule

99_9_description.py

• First two digits indicates a category of algorithms
  • 07: DQN
  • 08: Policy Gradient
  • 09: Random Search Methods
  • 10: Actor Critic
• A second digit indicates an id
• Description shows what the file is about

How to use uploader

It makes the uploading process a little bit simpler

1. Go to https://gym.openai.com/
2. Login with your github account
   • https://gym.openai.com/users/YOUR_GITHUB_ACCOUNT
3. Copy your OpenAI api key from the upper right corner of your profile page
   
4. Modify gym.ini
5. In console

#python gym_uploader.py /path/to/gym_results
python gym_uploader.py gym-results/

Install requirements

pip install -r requirements.txt

Run test and autopep8

TODO: Need to add more test cases

pytest

# pip install autopep8 # if you haven't install
autopep8 . --recursive --in-place --pep8-passes 2000 --verbose --ignore E501

Contributions/Comments

We always welcome your comments and pull requests.