StarCraft II: A New Challenge for Reinforcement Learning
@article{Vinyals2017StarCraftIA, title={StarCraft II: A New Challenge for Reinforcement Learning}, author={Oriol Vinyals and Timo Ewalds and Sergey Bartunov and P. Georgiev and A. S. Vezhnevets and Michelle Yeo and Alireza Makhzani and Heinrich K{\"u}ttler and J. Agapiou and Julian Schrittwieser and John Quan and Stephen Gaffney and S. Petersen and K. Simonyan and T. Schaul and H. V. Hasselt and D. Silver and T. Lillicrap and Kevin Calderone and Paul Keet and Anthony Brunasso and D. Lawrence and Anders Ekermo and J. Repp and Rodney Tsing}, journal={ArXiv}, year={2017}, volume={abs/1708.04782} }
This paper introduces SC2LE (StarCraft II Learning Environment), a reinforcement learning environment based on the StarCraft II game. [...] Key Method We describe the observation, action, and reward specification for the StarCraft II domain and provide an open source Python-based interface for communicating with the game engine. In addition to the main game maps, we provide a suite of mini-games focusing on different elements of StarCraft II gameplay. For the main game maps, we also provide an accompanying…Expand Abstract
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A library for simulating and training agents in the StarCraft II learning environment.
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