cribbage 1.1.0

Opponents

• Random. This opponent plays a random legal move

• Expert. This opponent uses an enumerative strategy to determine the move with the greatest possible reward (points), and takes that move. The author wrote the optimal policy

• Student. This opponent is a deep neural network that has been trained via self-play using Google Keras and OpenAI Gym (see /train for details) to execute an optimal policy

Installation

Install using pip

pip install cribbage

Or install from the source

git clone git@github.com:dacarlin/cribbage.git
cd cribbage
python setup.py install

How to use

From the command line, specify the kinds of players you want in the game

cribbage human random

You can also name the players

cribbage human random --name1 Osha --name2 Otto

If you would like to try playing one of the AI opponents, you can run with the following

cribbage human expert --name1 Alne --name2 Arin

Both the Student and the Expert players achieve performance that is better than most humans.

Help

Run cribbage -h for an explanation of the command line arguments