Grandmaster level in StarCraft II using multi-agent reinforcement learning ​

← Back to topic

Authors: Oriol Vinyals, Igor Babuschkin, Wojciech M. Czarnecki, Michaël Mathieu, Andrew Dudzik, Junyoung Chung, David H. Choi, et al.
Year: 2019
Journal: Nature
DOI: 10.1038/s41586-019-1724-z
Publisher: https://www.nature.com/articles/s41586-019-1724-z

Keywords: multi-agent rl, starcraft, alphastar

Abstract ​

We introduce StarCraft II as a benchmark for multi-agent reinforcement learning and present AlphaStar which grandmaster-level.

Cite this paper ​

@misc{alphastar2019,
  title  = {Grandmaster level in StarCraft II using multi-agent reinforcement learning},
  author = {Oriol Vinyals, Igor Babuschkin, Wojciech M. Czarnecki, Michaël Mathieu, Andrew Dudzik, Junyoung Chung, David H. Choi, et al.},
  year   = {2019},
  journal = {Nature},
  doi    = {10.1038/s41586-019-1724-z},
  url    = {https://doi.org/10.1038/s41586-019-1724-z},
}

Source files ​

• metadata.json
• paper.bib