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Swift OpenSpiel

The swift/ folder contains a port of OpenSpiel to use Swift for TensorFlow. This Swift port explores using a single programming language for the entire OpenSpiel environment, from game implementations to the algorithms and deep learning models.

This Swift port is intended for serious research use. As the Swift for TensorFlow platform matures and gains additional capabilities (e.g. distributed training), expect the kinds of algorithm that are expressible and tractable to train to grow significantly.

Contributions welcome for both additional games, and algorithms! If you run into issues (or would like to share your successes), please do reach out to the Swift for TensorFlow community at [email protected].

Building

To use Swift OpenSpiel, simply download a recent Swift for TensorFlow toolchain by following the installation instructions (available for macOS and Linux currently). Currently, OpenSpiel builds with the latest stable toolchains.

Once you have installed the Swift for TensorFlow toolchain, you can build and test Swift OpenSpiel like a normal Swift package. For example, on the command line:

cd swift
swift build  # builds the OpenSpiel library
swift test   # runs all unit tests

A tour through the code

  • Spiel.swift contains the primary abstractions common to all games, such as the GameProtocol and the StateProtocol.
  • There are a number of games each implemented in their own files. There are perfect information games, such as TicTacToe and Breakthrough, and there are imperfect information games, such as KuhnPoker and LeducPoker.
  • Available algorithms include TabularExploitability, and Exploitability Descent.

Join the community!

If you have any questions about Swift for TensorFlow (or would like to tell the community about something you did, or research you've published), please join our mailing list [email protected].