boardgame-socketplayer

A client for pluggable board game implementations.

The client included here is designed to work with jbradberry/boardgame-socketserver <https://github.com/jbradberry/boardgame-socketserver>_ and the Monte Carlo Tree Search implementation jbradberry/mcts <https://github.com/jbradberry/mcts>_.

Requirements

• Python 2.7, 3.5+; PyPy; PyPy3
• six

Getting Started

To set up your local environment you should create a virtualenv and install everything into it. ::

$ mkvirtualenv boardgames

Pip install this repo, either from a local copy, ::

$ pip install -e boardgame-socketplayer

or from github, ::

$ pip install git+https://github.com/jbradberry/boardgame-socketplayer

To connect to a server as a human player playing (for example) Ultimate Tic Tac Toe <https://github.com/jbradberry/ultimate_tictactoe>_ ::

$ board-play.py t3 human
$ board-play.py t3 human 192.168.1.1 8000   # with ip addr and port

To connect a client using one of the compatible Monte Carlo Tree Search AI <https://github.com/jbradberry/mcts>_ players ::

$ board-play.py t3 jrb.mcts.uct    # number of wins metric
$ board-play.py t3 jrb.mcts.uctv   # point value of the board metric

Configuration variables can be passed in using -e <variable name>=<variable value>. The -e flag may be repeated to pass in multiple variables. For example, ::

$ board-play.py t3 jrb.mcts.uct -e time=120 -e C=3.5

would configure the UCT player to use 2 minutes of thinking time, with an exploration coefficient of 3.5.

Games

Compatible games that have been implemented include:

• Reversi <https://github.com/jbradberry/reversi>_
• Connect Four <https://github.com/jbradberry/connect-four>_
• Ultimate (or 9x9) Tic Tac Toe <https://github.com/jbradberry/ultimate_tictactoe>_
• Chong <https://github.com/jbradberry/chong>_