Extended Data Fig. 7: Battle.net performance details.
From: Grandmaster level in StarCraft II using multi-agent reinforcement learning
Top, visualization of all the matches played by AlphaStar Final (right) and matches against opponents above 4,500 MMR of AlphaStar Mid (left). Each Gaussian represents an opponent MMR (with uncertainty): AlphaStar won against opponents shown in green and lost to those shown in red. Blue is our MMR estimate, and black is the MMR reported by StarCraft II. The orange background is the Grandmaster league range. Bottom, win probability versus gap in MMR. The shaded grey region shows MMR model predictions when players’ uncertainty is varied. The red and blue line are empirical win rates for players above 6,000 MMR and AlphaStar Final, respectively. Both human and AlphaStar win rates closely follow the MMR model.
