We present TorchCraft, a library that enables deep learning research on Real-Time Strategy (RTS) games such as StarCraft: Brood War, by making it easier to control these games from a machine learning framework, here Torch. This white paper argues for using RTS games as a benchmark for AI research, and describes the design and components of TorchCraft. TorchCraft is a BWAPI module that sends StarCraft data out over a ZMQ connection. This lets you parse StarCraft data and interact with BWAPI from anywhere. The TorchCraft client should be installed from C++, Python, or Lua. We provide off-the-shelf solutions for Python and Lua.

Features

  • We provide an example C++ CMake project in examples/cpp/
  • You will need to have a license of StarCraft: Brood War.
  • A bridge between Torch and StarCraft
  • TorchCraft is a BWAPI module that sends StarCraft data out over a ZMQ connection
  • Requires zstd-devel 1.1.4
  • Requires zeromq 4+

Project Activity

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License

BSD License

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Additional Project Details

Operating Systems

Windows

Programming Language

C++

Related Categories

C++ Machine Learning Software, C++ Reinforcement Learning Libraries

Registered

2022-08-16