TorchCraft: a Library for Machine Learning Research on Real-Time Strategy Games

Abstract

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.

References in corpus (1)

• Episodic Exploration for Deep Deterministic Policies: An Application to StarCraft Micromanagement Tasks

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• ToyBox: Better Atari Environments for Testing Reinforcement Learning Agents
• Multi-platform Version of StarCraft: Brood War in a Docker Container: Technical Report
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