Skip to content

jbradberry/boardgame-socketplayer

master
Switch branches/tags

Name already in use

A tag already exists with the provided branch name. Many Git commands accept both tag and branch names, so creating this branch may cause unexpected behavior. Are you sure you want to create this branch?
Code

Latest commit

 

Git stats

Files

Permalink
Failed to load latest commit information.
Type
Name
Latest commit message
Commit time
bin
 
 
 
 
 
 
 
 
 
 
 
 

boardgame-socketplayer

A client for pluggable board game implementations.

The client included here is designed to work with jbradberry/boardgame-socketserver and the Monte Carlo Tree Search implementation 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

$ 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 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:

About

A generic board game socket client

Topics

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages