README.md

Take 5 Card Game OpenAI Gym Environment

This is a simple implementation of the classic take 5 card game.

Currently it only supports single player and the other players uses the "Largest Card" policy.

Installation

In your virtual environment, navigate to this folder and install the package.

pip install -e .
pip install -r requirements.txt

Make this location available in your Python path.

export PYTHONPATH=$PYTHONPATH:/path/to/take5

Hello World

import gym
import take5

config = {"sides": 5, "multi_agent": False}
env = gym.make('Take5-v0', config=config)
observation = env.reset()
env.render()
for i in range (10):
  action = i
  if config["multi_agent"]:
    action = {player: action for player in observation.keys()}
  observation, reward, done, info = env.step(action)
  env.render()

Test Test Test

pytest

TODO

• Support multi-players