DeepMind's artificial intelligence platforms have become legendary for their ability to master complex games like chess, shogi and Go, crushing our puny human brains with advanced machine learning techniques.

Earlier this year a new version of the AI built for real-time strategy game StarCraft II, dubbed AlphaStar, was unveiled and carried on DeepMind's tradition of putting humans to shame, trampling some of the top human StarCraft II players in the world.

Why would researchers build an AI for a niche video game title and what can it teach us about artificial intelligence and machine learning?

There are countless strategies and counter strategies which help human players, at the top levels of play, to win.

It's like an incredibly complicated game of rock-paper-scissors.

In a game of StarCraft II, players can't see what their opponent is doing like they might in chess or Go.

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