Fig. 2: Results. | Nature

Fig. 2: Results.

From: Grandmaster level in StarCraft II using multi-agent reinforcement learning

Fig. 2

a, On Battle.net, StarCraft II players are divided into seven leagues, from Bronze to Grandmaster, according to their ratings (MMR). We played three variants of AlphaStar on Battle.net: AlphaStar Supervised, AlphaStar Mid, and AlphaStar Final. The supervised agent was rated in the top 16% of human players, the midpoint agent within the top 0.5%, and the final agent, on average, within the top 0.15%, achieving a Grandmaster level rating for all three races. b, MMR ratings of AlphaStar Final per race (from top to bottom: Protoss, Terran, Zerg) versus opponents encountered on Battle.net (from left to right: all races combined, Protoss, Terran, Zerg). Note that per-race data are limited; AlphaStar won all Protoss versus Terran games. c, Distribution of effective actions per minute (EPM) as reported by StarCraft II for both AlphaStar Final (blue) and human players (red). Dashed lines show mean values. Icons reproduced with permission from Blizzard Entertainment.

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