SMACv2

StarCraft Multi-Agent Challenge v2 — procedural unit generation per episode.

Install:

pip install -e ".[smacv2]"

Paradigm:

Multi-agent (simultaneous)

Stepping:

SIMULTANEOUS

System:

Requires StarCraft II binary (set SC2PATH env var)

Map	Description
10gen_terran	10 units, random Terran composition each episode
10gen_protoss	10 units, random Protoss composition each episode
10gen_zerg	10 units, random Zerg composition each episode

Citation

@article{ellis2023smacv2,
  author       = {Benjamin Ellis and Jonathan Cook and Skander Moalla and Mikayel Samvelyan and Mingfei Sun and Anuj Mahajan and Jakob Foerster and Shimon Whiteson},
  title        = {SMACv2: An Improved Benchmark for Cooperative Multi-Agent Reinforcement Learning},
  journal      = {CoRR},
  volume       = {abs/2212.07489},
  year         = {2023},
}